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Redefining Enterprise Engagement at InnoEX Hong Kong: Aurora Mobile’s EngageLab Unveils AI-First Solutions

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Redefining Enterprise Engagement at InnoEX Hong Kong: Aurora Mobile's EngageLab Unveils AI-First Solutions

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Aurora Mobile’s EngageLab showcases how to build stronger customer relationships with AI agents and omnichannel, solving critical engagement bottlenecks for global enterprises

Aurora Mobile Limited (NASDAQ: JG) (“Aurora Mobile” or the “Company”), a leading provider of customer engagement and marketing technology services, today announced that its AI-first customer engagement platform, EngageLab, successfully showcased its latest enterprise solutions at the highly anticipated InnoEX Hong Kong. Co-organized by the Hong Kong Trade Development Council (HKTDC) and the Innovation, Technology and Industry Bureau, the premier tech event gathered industry titans, government delegates, and leading tech innovators.

At the exhibition, EngageLab directly addressed the critical problems global businesses struggle with today: fragmented channels, siloed data between marketing and support, high integration costs, and legacy AI that cannot handle complex tasks. Guided by its mission to be “Redefining Customer Relationships for the AI Era,” EngageLab introduced practical solutions built on its robust architecture.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

ntelligent Fallback Workflows: Solving the “Last Mile” of Delivery
To combat unpredictable email open rates, EngageLab demonstrated its seamless omnichannel orchestration logic. The platform automatically monitors user behavior in real-time: if an email goes unopened, it triggers a WhatsApp message, relying on SMS only as an ultimate fallback. This dynamic channel-switching ensures critical messages reliably reach customers while significantly optimizing communication budgets.

Expert Customization & Agile Deployment: Accelerating Time-to-Market
Global enterprises often struggle with long time-to-launch due to difficult integrations. EngageLab overcomes this by leveraging its Developer-First APIs and expert technical support to deliver solutions tailored to specific business needs. Instead of forcing companies to adapt to rigid systems, EngageLab seamlessly translates complex operational logic into custom-built workflows, drastically shortening integration cycles and reducing IT friction.

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AI + LiveDesk: Transitioning from “Chatbots” to “Digital Employees”
Addressing the limitations of traditional chatbots that lack backend data access, EngageLab showcased its Native AI + LiveDesk integration. Moving beyond basic Q&A, EngageLab’s AI Agents securely connect with enterprise databases (like CRM or ERP systems). Using a travel use case, EngageLab demonstrated how its AI acts as a true “digital employee,” autonomously retrieving real-time booking details to resolve complex service requests without human intervention. This solution allows enterprises to break free from seat-based pricing limits, aligning business costs with actual growth rather than headcount

Architecting the Future of Customer Interaction
During the event, Lawrence Pak, Business Representative at EngageLab, delivered an insightful presentation on the architecture of an AI-first customer engagement ecosystem. Pak detailed how EngageLab utilizes AI not just for communication, but for the entire lifecycle: from breaking down data silos to generating predictive strategies and executing automated campaigns.

“Modern enterprises don’t just need more channels; they need intelligent orchestration,” said Pak. “By seamlessly leveraging unified lifecycle customer data, cross-channel reliability, and capable AI agents, EngageLab is helping brands transform isolated touchpoints into continuous, highly personalized customer relationships on a global scale.”

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Introducing DV’s AI SlopStopper for Social, Maximizing Media Quality and Campaign Performance

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Introducing DV’s AI SlopStopper for Social, Maximizing Media Quality and Campaign Performance

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New Industry Leading offering helps advertisers avoid low-quality AI-generated content and safeguard brand reputation across social and video platforms

DoubleVerify (“DV”) (NYSE: DV), the leading software platform to verify media quality, optimize ad performance and prove campaign outcomes, today announced the expansion of DV AI Verification™ to include DV’s AI SlopStopper™ for social. The new industry-leading offering is designed to help advertisers navigate the growing challenges posed by low-quality, AI-generated content and safeguard brand reputation across social and video-centric environments.

“Generative AI is accelerating content creation at a massive scale across the open web and proprietary video platforms,” said Mark Zagorski, CEO of DoubleVerify. “To navigate this new world, brands need greater clarity, precision and control than ever before. With the expansion of DV AI Verification to include DV’s AI SlopStopper for Social, we are empowering advertisers to ensure their brand investment is protected wherever they spend while driving stronger media outcomes.”

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

As generative AI fuels an explosion of content online, distinguishing credible, high-quality media from mass-produced, low-value AI output has become increasingly complex, making precision and transparency essential to protecting brand equity and maximizing media effectiveness.

This release enhances the precision of DV’s proprietary detection technology, which blends sophisticated AI-driven analysis with human oversight to identify and categorize low-quality material at scale. By integrating these insights directly into DV’s existing pre-bid brand suitability controls across social and proprietary video platforms, advertisers can proactively refine where their ads appear, uphold rigorous media quality standards and sustain performance across dynamic social environments.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

In November 2025, DV introduced DV AI Verification, a comprehensive offering designed to help advertisers identify AI agent interactions and avoid low-quality AI-generated content across digital environments. DV’s AI SlopStopper is a core capability within DV AI Verification™.

DV AI Verification is a key component of DV’s Media AdVantage Platform, which combines AI-powered media verification, ad optimization and campaign outcomes measurement to maximize media performance and return on ad spend.

DV’s AI SlopStopper pre-screen avoidance is currently available on YouTube. DV’s suitability categories are based on proprietary definitions and have not been reviewed by Google. Support for additional social and video-centric platforms is expected later this year.

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Spark SEO Unveils Bold Rebrand and Strategic Shift to AI Search

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Spark SEO Unveils Bold Rebrand and Strategic Shift to AI Search

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Pioneering the Future of Digital Marketing with complete Answer Engine Optimization

Spark SEO, a boutique marketing company renowned for its innovative digital marketing services, has announced the completion of a comprehensive rebrand that marks a significant shift in its market positioning. This transformation begain in November 2025 with a new logo and refreshed brand colors, and concludes in April 2026 with a state-of-the-art website, and a strategic pivot from traditional SEO to Answer Engine Optimization (AEO).

This evolution underscores Spark SEO’s commitment to staying at the forefront of the digital marketing industry.

Founded in 2021 by SEO veteran Fion McCormack, Spark SEO has quickly established itself as a leader in providing high-quality, cost-effective digital marketing solutions across the UK, Ireland, and the USA. The company’s rebranding initiative is designed to reflect its forward-thinking approach and adaptability in a rapidly changing digital landscape.

AEO, or Answer Engine Optimization, is a cutting-edge marketing practice that extends beyond conventional search engine optimization. It encompasses AI discovery platforms and chatbots. By embracing AEO, Spark SEO positions itself as a pioneer in leveraging AI to enhance digital marketing strategies, ensuring clients achieve optimal visibility across diverse digital platforms.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“Our rebrand and strategic shift to AEO represent our dedication to innovation and our proactive approach to the evolving needs of our clients,” said Fion McCormack, CEO of Spark SEO. “We are excited to lead the charge in this new era of digital marketing, where AI and advanced technologies play a crucial role in shaping the future of how businesses connect with their audiences.”

The new brand assets and market positioning are designed to communicate Spark SEO’s role as a leader in innovation, with a keen focus on providing SMEs, who compete on a state or national level, with access to more affordable top-tier digital marketing services akin to what conglomerates recieve. This rebrand not only highlights the company’s adaptability but also its commitment to delivering exceptional value and results for its clients.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

Leading on the AI frontier, Spark’s new website is tightly integrated with artificial intelligence technologies. Features include a powerful custom-built AI powered website chat widget that’s available 24/7. This AI sales agent has the ability to analyse website’s and diagnose organic traffic issues autonomously in real-time.

To cellebrate the completion of the 6-month rebrand, and the launch of the new website, Spark is offering two exciting digital products to businesses:

  1. A free, instant PDF that will shows you quick hacks to get the most popular AI chatbots to recommend your brand.
  2. A custom report (with an 85% discount) that analyses your brand presence within the World’s leading search engine, in relation to your competitors, with specific recommendations on exactly what content to create and where to publish it, so your brand can appear in those AI answers.

Both of these reports are available on the new Spark SEO website.

While there have clearly been huge changes happening at Spark SEO, what remains unchanged is our founding principals including:

  • Offering five-figure quality services at a low four-figure price,
  • Our comittment to excellence through hiring protocols that ensure clients are supported only by senior-level expert, never juniors.
  • Our focus on ecommerce and service companies that are looking to improve national or regional reach
  • Our practice of clarity, honesty and transparency in reporting results and strategic use of marketing budget.

As Spark SEO embarks on this new chapter, it remains dedicated to helping ambitious businesses with big aspirations to gain evergreen natural traffic across all sectors. The company’s strategic shift to AEO ensures that it remains at the cutting edge of the industry, poised to meet the challenges and opportunities of the present and the future.

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Limelight Inc.’s Senior Leadership Team to attend POSSIBLE 2026 in Miami as US Presence Expands with Key Senior Hire

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Limelight Inc.’s Senior Leadership Team to attend POSSIBLE 2026 in Miami as US Presence Expands with Key Senior Hire

Limelight Inc. Partners with Airtory to Deliver

Senior leadership team including newly appointed VP Americas, Oshri Raz, head to Fontainebleau Miami Beach for one-on-one meetings, providing more information on the platform driving up to 300% revenue growth for partners

Limelight Inc.’s senior leadership team will attend POSSIBLE 2026, taking place April 27–29 at the iconic Fontainebleau Miami Beach & Eden Roc in Miami, Florida.

The event also marks the first major industry appearance by Oshri Raz, who recently joined Limelight as VP, Americas Strategic Alliances, a senior appointment that highlights the company’s ambition to expand into the US market. With extensive experience in global ad tech, programmatic monetisation and revenue infrastructure leadership across the US, EMEA, LATAM and APAC, Raz’s focus at the company is to position Limelight as the primary independent programmatic infrastructure partner across the region.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Raz will be joined at POSSIBLE by other senior members of the Limelight team including:

  • David Nelson, CEO
  • Oshri Raz, VP Americas
  • Savina Parvanova, Global Head of Marketing
  • Daniel Nelson, Director of Client Success
  • Andrew Macdonald, Director of Client Success
  • Uriah Goldstein, Global Head of New Business

A key focus for the Limelight team at POSSIBLE will be ARC, the automation-based toolkit designed to streamline programmatic operations and unlock significant performance gains for partners. Since its launch, ARC has delivered measurable results across Limelight’s partner network, including:

  • Revenue growth of up to 300%
  • A 4x improvement in auction success rate
  • A 10x improvement in fill rate
  • A significant reduction in manual workload

Marketing Technology News: Is the Traditional CDP Already Out of Date?

The team is looking forward to attending its first POSSIBLE Miami event. The USA is still the largest global trading market in programmatic advertising, and as a result, we have developed a strong presence in terms of both partners and people in the region. Oshri represents a senior, key, exciting hire for us, reinforcing our commitment to excellence and to sharing our values in the region. Our technology and model is designed to support independent, transparent and cutting-edge 360-degree programmatic activity.”

— James Macdonald, CRO, Limelight Inc.

Attendees at POSSIBLE are invited to schedule one-on-one meetings with Limelight’s experts to discuss how ARC and Limelight’s broader suite of programmatic solutions can help drive performance, efficiency and profitability.

Limelight Inc. – the world’s fastest growing white label platform, helps companies in the ad tech ecosystem to easily navigate the complex programmatic landscape, blending cutting-edge technology with best-in-class expertise and human support. Hundreds of ad networks and publishers use Limelight’s programmatic oRTB solution to build bespoke, white-labelled trading environments, drive profitability and performance at scale and unlock incremental revenues – immediately. Limelight is more than a service provider; our ethos is firmly centred on human support and strong partnerships for the global Limelight community.

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Expert.ai and Microsoft Italy together to Accelerate the Adoption of Agentic Architecture

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Expert.ai and Microsoft Italy together to Accelerate the Adoption of Agentic Architecture

The strategic collaboration brings the EidenAI Suite on the Microsoft Azure Marketplace to help large Italian and global organizations easily leverage AI for transforming complex data into reliable, explainable and scalable decisions

Expert.ai and Microsoft Italy announce a strategic collaboration to accelerate the adoption of artificial intelligence for the most critical and complex business processes. With Expert.ai’s EidenAI Suite solutions now available on the Microsoft Azure Marketplace, organizations in Italy and around the world can deploy proven technologies within the Microsoft Azure ecosystem, bringing AI into production faster, with greater control and scalability.

The collaboration was established to help businesses move beyond experimentation and use AI as a practical driver of operational transformation. Microsoft Azure is the go-to platform for enabling an enterprise approach that integrates models, data, knowledge and automation within complex workflows while maintaining control, transparency and reliability.

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Expert.ai’s enterprise-grade solutions, based on a neuro-symbolic approach, combine the adaptability of generative AI with the precision of structured knowledge and business rules. Within the Microsoft Azure ecosystem, organizations can support the full AI value chain, from data acquisition and understanding to knowledge creation, AI model orchestration and activation of decisions and processes that are reliable, explainable and auditable.

“We are pleased with Expert.ai’s innovation path and with the introduction of its AI solutions into the Microsoft Azure ecosystem. This collaboration addresses a growing priority for Italian businesses: moving AI from experimentation to broad, secure and governable usage. Together with Expert.ai’s expertise and solutions, we will help organizations in our country harness AI to drive growth and innovation,” said Vincenzo Esposito, CEO Microsoft Italy.

Marketing Technology News: Cross-Department Collaboration with Marketing Workflow Automation: Enhancing Alignment Between Sales, Customer Service, and Marketing Teams

“The organizations that will succeed won’t be those that experiment with AI, but the ones that operationalize it in a way that is reliable, governable and scalable. With Microsoft, we are removing the final barrier: closing the gap between AI’s potential and the tangible value it can deliver every day within the processes that matter most. Our neuro-symbolic approach makes this possible. By combining generative models with structured knowledge, we enable AI that not only responds, but reasons, explains and can be audited. In an enterprise context, this is essential. Bringing EidenAI to Azure brings our shared vision to life: AI not as an isolated technology, but as a cognitive infrastructure embedded in how people work and how businesses make decisions,” said Dario Pardi, Executive Chairman and CEO at Expert.ai.

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Adaptigent Publishes New Report on API Integration, Governance, and AI in Enterprise Modernization

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Adaptigent Publishes New Report on API Integration, Governance, and AI in Enterprise Modernization

Adaptigent

Adaptigent releases report showing integration-led modernization drives ROI, reduces costs, and enables AI without replacing legacy systems.

Adaptigent, a software technology company focused on API enablement and enterprise connectivity, announced the publication of its new thought leadership report, Modernization without Migration: How API Integration, Governance, and AI Support Enterprise and Mainframe Modernization.

This new report outlines why modernization success depends on integration discipline, governed data access, and architectural flexibility rather than wholesale system replacement, highlighting real-world outcomes including a 30% reduction in operating costs through integration-led approaches.

It further examines why modernization remains a top priority across industries, yet execution results continue to vary widely despite record levels of investment. It argues that the difference is not ambition or budget, but the ability to connect systems, govern data in motion, and extend trusted core business logic into modern digital environments without introducing unnecessary disruption.

As enterprises face increasing pressure to improve speed, customer experience, compliance readiness, and AI adoption, Modernization without Migration presents a practical framework for modernization built around API-led integration, orchestrated workflows, runtime governance, and real-time access to authoritative system-of-record data.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“Enterprise digital transformation is no longer a discrete initiative. It has become a continuous operating reality driven by competitive pressure, rising customer expectations, and expanding regulatory oversight. While organizations are investing heavily in cloud platforms, analytics, automation, and AI, results vary widely. The difference is not ambition or spend, but execution discipline.” — Modernization Without Migration: Executive Summary

The report explores several forces shaping the next phase of enterprise modernization, including:

– Why modernization has become a continuous operating reality, with nearly 8 in 10 organizations now actively advancing transformation and over 90% maintaining formal strategies

– How fragmented architectures, siloed data, and integration challenges continue to stall execution, with nearly 50% of organizations citing system integration as a primary barrier and many reporting the majority of IT capacity consumed by maintenance and technical debt

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– Why integration-first, vendor-agnostic architectures and governed data access are emerging as the foundation for resilience, compliance, and AI, enabling measurable outcomes such as 288%–362% ROI, lower operating costs, and new revenue opportunities

In addition to market analysis and strategic guidance, the report includes industry examples from financial services, insurance, and transportation that illustrate how integration-led modernization can support measurable business outcomes such as faster transaction processing, lower operating costs, stronger compliance posture, and improved digital service delivery.

The publication also reinforces Adaptigent’s position on modernization strategy: enterprises do not need to choose between protecting proven core systems and advancing digital initiatives. With the right integration architecture in place, organizations can extend existing investments, unify data access, support AI-enabled use cases, and modernize with greater confidence.

Modernization without Migration is designed for CIOs, CTOs, enterprise architects, IT modernization leaders, digital transformation teams, and organizations evaluating how to make hybrid environments more connected, observable, and adaptable.

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Munch Studio Launches AI Video Editing Suite That Turns Long-Form Video Into Social Media Content in Minutes

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Munch Studio Launches AI Video Editing Suite That Turns Long-Form Video Into Social Media Content in Minutes

Munch Studio Announces Release of 2026 Framework for Evaluating AI Video  Tools - USA Today

New AI video tool automatically clips, captions, scores and publishes social reels and short-form content for business owners — all included in the $48/mo plan

Munch Studio, an AI-powered social media management platform built for small business owners, launched a comprehensive AI video editing suite that transforms long-form video into ready-to-publish social media content automatically. The new capabilities allow business owners to upload a single video and receive a set of AI-clipped, auto-captioned, scored, and platform-optimized short-form clips within minutes, without any video editing experience required.

Business owners are competing for attention in a video-first world, but most don’t have the time, budget, or skills to produce video content… Our new video capabilities change that equation.”

— Oren Kandel, Founder & CEO, Munch Studio

The launch makes Munch Studio one of the most complete AI video tools available to independent business owners, combining automated video clipping and editing with AI content creation, scheduling, and brand strategy in a single platform starting at $48 per month. A seven-day free trial is available to new users.

The announcement comes at a moment when short-form video has become the dominant format across every major social platform. Business owners who are not producing regular video content are losing organic reach to competitors who are, yet most lack the time, budget, or technical skills to manage video production manually.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“Small business owners are competing for attention in a video-first world, but most of them do not have the time, budget, or skills to produce video content at the volume that social platforms reward. Our new video capabilities change that equation completely. You upload one video, and Munch Studio does the rest.” — Oren Kandel, Founder & CEO, Munch Studio

How Munch Studio’s AI Video Editing Works

The platform’s AI video workflow begins with a single upload. Users submit any long-form video — a recording, tutorial, webinar, live stream, interview, product demonstration, or behind-the-scenes footage — and the AI analyzes the full clip to identify the most engaging and relevant highlights for social media distribution.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

The system applies content analysis to detect natural breakpoints, pacing shifts, and moments of high relevance to the business’s niche and audience. Each extracted clip is assigned a relevance score, giving business owners a clear signal of which content is most worth publishing. This scoring system removes the guesswork that typically consumes significant time in manual video review workflows.

Once clips are identified and scored, Munch Studio adds captions automatically. Users can select from multiple caption styles to match their brand aesthetic. Captions are formatted for on-screen readability and accuracy, addressing one of the most critical production requirements for social media video: the majority of short-form content is watched without sound, making visible captions a functional necessity rather than an optional feature.

Music is also handled by the platform. Munch Studio provides a curated library of background tracks suited to different content tones and styles. The AI recommends tracks that complement the energy and pacing of each individual clip. Users can accept the suggestion or select from available options within the platform.

Before any clip is published, the platform optimizes it for the target channel. Munch Studio formats video content for Instagram Reels, Facebook, TikTok, YouTube Shorts, and LinkedIn, adjusting dimensions, resolution, and file specifications to meet each platform’s technical requirements. This eliminates the manual resizing and export configuration steps that add significant time to traditional video editing workflows.

The full pipeline — from raw footage upload to a set of polished, platform-ready clips — takes minutes rather than hours. For business owners who have been sitting on recorded video content with no practical way to repurpose it, the new capabilities represent a meaningful shift in what is achievable without a dedicated production team.

Why AI Video Editing Has Become Essential for Small Businesses in 2026

Video content is no longer optional for businesses seeking organic visibility on social media. Instagram, TikTok, YouTube, Facebook, and LinkedIn have all prioritized short-form video in their recommendation algorithms over the past two years, resulting in a measurable decline in reach for text and image posts. Business owners competing against larger brands with professional content teams face a growing gap that AI video tools are now beginning to close.

Short-form video consistently generates higher engagement rates than static content across major social platforms. TikTok, Instagram Reels, and YouTube Shorts have become the most actively competed surfaces for brand visibility, with platforms rewarding posting consistency and volume alongside content quality. For businesses attempting to maintain visibility across multiple channels, the content production demands are substantial.

The manual alternative is costly on two dimensions: time and money. A freelance video editor in the United States charges between $50 and $150 per hour depending on experience and market. A single short-form video clip, from raw footage review to finished export, typically requires two to four hours of professional editing time. A business maintaining four to eight social media videos per month faces production costs ranging from several hundred to several thousand dollars per month, before any other marketing expenditure.

For business owners who handle editing themselves, the time cost is comparable. Research on content production workflows indicates that manually producing a single polished short-form video, including footage review, cutting, captioning, and platform formatting, typically requires three to five hours per clip. At that rate, maintaining a consistent posting schedule across five platforms is not viable without dedicated staff or significant trade-offs in other areas of the business.

AI video editing tools address both barriers simultaneously. By automating the analysis, cutting, captioning, and formatting steps, platforms like Munch Studio compress a multi-hour production workflow into a process measured in minutes.

What Sets Munch Studio Apart From Other AI Video Tools

The AI video editing market has expanded considerably, with standalone tools offering capabilities ranging from basic auto-captioning to more sophisticated clip detection. What distinguishes Munch Studio from single-function AI video tools is the degree to which the video suite is integrated into a complete AI content creation and social media management system.

Most AI video tools operate as isolated applications. A business owner might use one tool to clip long-form footage, a separate application to add captions, another platform to schedule posts, and a fourth system to manage their overall content strategy. Each tool carries its own subscription cost, its own interface, and its own workflow, creating a fragmented production process that adds complexity rather than reducing it.

Munch Studio is built differently. When a user creates an account, they enter their business website URL. The platform reads the site to learn the business’s industry, services, target audience, brand voice, visual identity, color palette, and logo. Everything the platform produces — including video clips, captions, written posts, and content strategy recommendations — reflects the specific brand identity of that business.

This means the captions added to a video clip are not generic placeholder text. They are written in the brand’s established tone, targeted to the business’s known audience, and consistent with the broader content strategy the platform is executing on the business’s behalf. The relevance scoring applied to each clip is similarly calibrated to the business’s specific niche and goals, not generic engagement metrics.

The result is an AI content creation system where video editing is one integrated capability within a broader autonomous workflow, rather than an additional tool requiring its own management.

The Complete AI Content Suite at $48 Per Month

Munch Studio’s AI video editing capabilities are included in the platform’s Essential Plan at $48 per month. An annual plan is available at $456 per year. Both plans include a seven-day free trial, during which new users have access to the full platform.

Beyond AI video editing, the Essential Plan includes:

• AI-generated social media content tailored to the business’s niche, audience, and brand voice, produced automatically across all connected platforms
• A built-in content scheduler and planner that manages posting cadence and timing across Instagram, Facebook, TikTok, YouTube, and LinkedIn
• A full content strategy developed by the platform’s AI based on the business’s goals, industry, and competitive landscape
• Automated brand learning from the business website, which extracts voice, visual identity, logo, color palette, and audience context without requiring manual input

Setup requires no marketing background, technical knowledge, or prior experience with AI tools. A user enters their business website URL during onboarding. The AI completes the brand learning process automatically and begins generating content and strategy within minutes.

The platform is designed specifically for small business owners who are managing operations, customer relationships, and growth without dedicated marketing staff. The goal is to give any business owner access to a complete AI content creation and social media management system at a price point that reflects a small business budget rather than an enterprise software contract.

The Business Case for Switching to AI Video Editing

For businesses currently paying for video production, the financial comparison is direct. A freelance video editor charging $75 per hour — the approximate midpoint of the current U.S. market rate — working four hours per clip produces a per-video cost of $300. A business producing six short-form videos per month at that rate spends $1,800 monthly on video production alone.

Munch Studio’s Essential Plan at $48 per month replaces that production function with an AI system that processes video in minutes, adds captions, selects music, scores clips for relevance, and formats output for every connected platform automatically. The per-month cost difference for a business producing six videos monthly is approximately $1,752.

For businesses managing video editing in-house, the calculation shifts from dollars to hours. A business owner spending 15 to 20 hours per month reviewing footage, cutting clips, adding captions, and resizing for different platforms is spending the equivalent of two full workdays on a single content function. Those hours represent a significant opportunity cost across every other business priority.

For businesses that have not yet incorporated video into their social media strategy because of the perceived complexity or cost, Munch Studio removes both barriers simultaneously. No production background, no editing software, and no ongoing time investment beyond uploading original footage is required to maintain a consistent video presence across five platforms.

AI Content Creation Beyond Video

The video suite is the newest addition to a broader AI content system that manages a business’s full social media presence. Munch Studio’s AI content creation engine generates platform-specific text posts, captions, and content strategy automatically, keeping channels active with relevant material between video uploads. The AI learns the business’s niche, tone, and audience from the website at setup and continues refining its output based on user feedback over time.

When a business owner approves, edits, or skips a piece of content, the system updates its model accordingly. This feedback loop applies to video content as well. Clip approval patterns and relevance scoring decisions over time sharpen the AI’s understanding of what resonates with a given business’s audience, making the platform more effective the longer it is used.

For small business owners competing in a content-heavy environment without dedicated marketing staff, this combination of AI video editing, AI content creation, automated scheduling, and continuous brand learning in a single affordable platform represents a practical path to consistent social media output at scale.

Frequently Asked Questions

What is the best AI video tool for small businesses?

Munch Studio is designed as a complete AI video tool for small business owners. It combines automatic video clipping, AI captioning, music selection, relevance scoring, and platform-specific optimization in a single platform that also includes AI content creation, content scheduling, and brand strategy. The platform is available starting at $48 per month with a seven-day free trial.

How does AI video editing work?

AI video editing tools analyze long-form video to identify the most engaging segments, trim footage to appropriate lengths for social media, add captions automatically, select or suggest background music, and format the output to meet the technical specifications of each target platform. Munch Studio performs all of these steps automatically after a user uploads a video, producing platform-ready clips within minutes without requiring any editing experience.

What is AI content creation for social media?

AI content creation for social media refers to the automated generation of platform-specific posts, captions, video clips, and content strategy recommendations based on a business’s brand identity, industry, and target audience. Munch Studio’s AI content creation system learns a business’s voice, visual style, and audience from its website during setup and produces content aligned with that identity across Instagram, Facebook, TikTok, YouTube, and LinkedIn.

What social media platforms does Munch Studio support for AI video editing?

Munch Studio formats and publishes AI-edited video content for Instagram Reels, Facebook, TikTok, YouTube Shorts, and LinkedIn. The platform adjusts dimensions, resolution, and file specifications for each platform automatically, so users do not need to manually resize or export clips for different channels.
How does Munch Studio learn a business’s brand?

During setup, users enter their business website URL. Munch Studio’s AI reads the site and extracts the business’s industry, services, target audience, brand voice, visual identity, logo, and color palette. No manual configuration is required. The platform uses this information to ensure that all generated content, including video captions, written posts, and content strategy, reflects the specific brand identity of the business. The AI continues learning from user feedback over time.

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Soultware LLC Launchs Website Development Services for Small Businesses Seeking Affordable High-Converting Websites

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Soultware LLC Launchs Website Development Services for Small Businesses Seeking Affordable High-Converting Websites

Soultware

U.S.-based Soultware LLC helps small businesses grow online with fast, affordable, and high-converting website development services.

Soultware LLC, a U.S.-based website development agency, officially announces the launch of its services focused on helping small businesses build affordable, high-converting websites that drive measurable growth in an increasingly competitive digital landscape.

We help small businesses grow with fast, affordable websites designed to convert visitors into customers”

— Soultware Team

In today’s digital-first economy, a professional website is no longer optional—it is one of the most critical tools for attracting customers, building credibility, and generating revenue. Despite this, many small businesses still struggle with outdated websites, slow loading speeds, poor mobile experiences, or no online presence at all. Soultware LLC aims to solve these challenges by providing modern, results-driven website development services tailored specifically to the needs of small businesses, startups, and entrepreneurs.

Soultware specializes in designing and developing fast, responsive, and user-friendly websites that not only look professional but are strategically built to convert visitors into paying customers. Every website is developed with performance, usability, and clarity in mind, ensuring that businesses can effectively communicate their value and guide users toward taking action.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

The agency offers a comprehensive range of services, including small business website development, landing page design, and e-commerce website solutions. Each project is built using modern development practices and optimized for speed, search engine visibility, and mobile performance. This ensures that clients can rank higher on search engines, reach more potential customers, and provide a seamless browsing experience across all devices.

A key focus of Soultware’s approach is conversion-driven design. Rather than simply creating visually appealing websites, the agency emphasizes clear messaging, intuitive navigation, and strong calls-to-action. This helps businesses increase engagement, generate leads, and turn website traffic into real business results.

In addition to development, Soultware provides UI/UX design and website optimization services. These services are designed to improve how users interact with a website, reduce friction, and increase the likelihood of conversions. By continuously refining layout, structure, and user flow, Soultware ensures that each website performs as an effective business tool rather than just a digital presence.

One of the biggest challenges small business owners face when building a website is complexity. Traditional web development processes can be time-consuming, expensive, and difficult to manage without technical expertise. Soultware addresses this by simplifying the entire process, from initial consultation to final launch. Clients benefit from a streamlined experience that allows them to focus on running their business while their website is handled efficiently and professionally.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

Affordability is another core pillar of Soultware’s offering. Many small businesses are priced out of high-quality web development services, forcing them to rely on low-quality solutions that fail to deliver results. Soultware bridges this gap by providing cost-effective website solutions that maintain high standards of performance, design, and functionality. This makes it possible for small businesses to access professional-grade websites without exceeding their budgets.

Soultware also understands the importance of scalability. As businesses grow, their digital needs evolve. The agency builds websites that can adapt and expand over time, allowing clients to add features, improve functionality, and scale their online presence without starting from scratch.

Operating as a U.S.-registered LLC, Soultware serves clients across a wide range of industries, including local service providers, online businesses, and emerging startups. Whether a business needs a simple website to establish credibility or a more advanced platform to drive sales, Soultware provides flexible solutions tailored to different goals and stages of growth.

The company’s mission is rooted in helping small businesses succeed in a digital world that often favors larger, more established competitors. By delivering practical, high-performing websites, Soultware empowers smaller companies to compete effectively, reach new audiences, and build long-term success online.

In an environment where consumers increasingly rely on online search and digital experiences to make purchasing decisions, having a well-built website can make a significant difference in a business’s growth trajectory. Soultware positions itself as a partner that understands this reality and provides the tools needed to succeed.

Looking ahead, Soultware LLC plans to continue enhancing its services, adopting new technologies, and refining its approach to meet the changing demands of the digital marketplace. The company remains focused on delivering solutions that are not only modern and effective but also accessible to the businesses that need them most.

For small businesses seeking reliable, affordable, and high-performing website development services, Soultware LLC offers a clear and results-driven solution designed to support growth, visibility, and long-term success.

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everle Inc, Launches Blob AI 2.0: A Subscription-Based AI Companion Built on Privacy, Ethical Design, and No Ads

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everle Inc, Launches Blob AI 2.0: A Subscription-Based AI Companion Built on Privacy, Ethical Design, and No Ads

Built around user privacy and to protect human agency. Blob AI has no ads. No data training. No engagement loop. It’s AI for the people who don’t trust AI.

Everle, Inc. announced today the launch of Blob AI 2.0, a subscription-based AI companion designed from the ground up around user privacy, mental wellbeing, and ethical design. Available now at heyblob.com, Blob AI offers a private, empathetic space for thinking and reflection. Unlike Big Tech AI platforms, Blob AI is intentionally built with no advertising, no data training on user conversations, and no engagement mechanics designed to keep people hooked.

We want people to have a healthier relationship with technology. Blob is proof that when AI is done ethically, it can be a genuine force for good in people’s lives.”

— Tessa Adams, Founder & CEO, Blob AI

The launch comes as Big Tech faces mounting legal and legislative pressure over addictive product design. Blob AI was built as a direct alternative to that model — not as a reaction to the reckoning, but as a founding conviction.
“Blob is a private, empathetic space designed with humans at the center. Most technology asks what it can extract from people. We asked something different, how do we empower them? We built Blob because we believe AI, done ethically, can benefit society. Not erode it.”

– Tessa Adams, Co-Founder & CEO, Everle, Inc.

Most AI tools today are free at the point of use. Conversations are used to train models. Behavioral patterns are logged. Emotional disclosures made at 2am become data points in systems built for scale – not for the person on the other end of the conversation. Even paid tiers on major AI platforms reserve the right to use user data for training and behavioral profiling. The subscription fee was never the fix.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Blob AI is built differently, not as a platform, but as a trusted thinking partner and companion. The team purposefully designed Blob with no image generation capabilities and no engagement loop designed to pull users back. They also built a Brain Gym, a critical thinking mode users can toggle on to work through problems together with Blob, actively and collaboratively.

Blob AI responds when you come to it and waits when you don’t. There is no agenda about when you show up or how long you stay, only a commitment to being genuinely present when you do. Available free or at $10 per month, with a Supporter Tier for those who choose to pay more to sustain the mission, the entire business model rests on one relationship: between Blob and its user. No advertisers. No data brokers. No training on user conversations.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

BLOB AI’S COMMITMENTS TO ITS COMMUNITY
• No advertising, ever. Blob’s only revenue comes from subscribers. There are no third parties to optimize for.
• Conversations are not used to train models. What users share with Blob belongs to them – not to the system.
• No engagement loop. No notifications designed to pull users back. No streak mechanics. No feed. Blob is there when you need it.
• Freemium with a mission. Free to start. $10/month for higher usage. A Supporter Tier for those who want to pay more to sustain what Blob is building.
• No big tech or VC money. Funded entirely by subscribers, which makes the ethical commitments permanent, not provisional.

“We’re builders. We’re not critics standing on the outside. We’ve made different choices at every level because we believe you can create things people genuinely love without building things that hurt them. That’s what Blob AI is.” – Adam says.

“We want people to have a healthier relationship with technology,” Adams said. “Blob is proof that when AI is done ethically, it can be a genuine force for good in people’s lives.”

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From ChatGPT to Claude and Grok: AI.cc’s One-API Solution Powers Next-Gen AI Agents and Applications

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From ChatGPT to Claude and Grok: AI.cc’s One-API Solution Powers Next-Gen AI Agents and Applications

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The AI landscape in 2026 is defined by diversity rather than dominance. Developers and enterprises are no longer relying on a single model; instead, they are combining the unique strengths of multiple frontier models to build more capable, efficient, and creative AI systems.
AI.cc (www.ai.cc) is enabling this shift by offering a true one-API solution that provides instant access to over 300 leading AI models — including OpenAI’s ChatGPT (GPT series), Anthropic’s Claude, xAI’s Grok, Google’s Gemini, and many others — through a single, standardized interface.
Why Multi-Model Strategies Are Becoming Essential
Each major model brings distinct advantages in 2026:

ChatGPT (GPT-5.4 series) remains a strong generalist with broad tool-calling support and ecosystem familiarity.
Claude 4.5 Opus excels in careful reasoning, long-context analysis, and high-quality writing or coding tasks.
Grok 4 stands out for real-time knowledge, bold creativity, and handling unconventional or humorous prompts.
Gemini 3 delivers superior multimodal understanding and research-oriented capabilities.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

For next-generation applications — particularly autonomous AI agents that plan, reason, execute, and iterate — using only one model often leads to suboptimal results. The most advanced agentic workflows now route different subtasks to the best-suited model dynamically. Yet, directly integrating multiple providers creates friction: different authentication methods, inconsistent response formats, separate rate limits, and fragmented monitoring.
AI.cc Eliminates Integration Complexity with One API
AI.cc solves this by acting as a unified gateway. Developers keep their existing OpenAI-compatible code and simply change the base URL to https://api.ai.cc/v1, using one API key for everything.
Switching models requires only updating the model name in the request. New models from any supported provider become available quickly, allowing teams to adopt the latest releases without rewriting infrastructure.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

This architecture supports:

Seamless orchestration of multiple models within a single agent workflow.
Low-latency responses and high concurrency suitable for production-scale agent deployments.
Centralized usage tracking and cost monitoring across all models.
The freedom to experiment and optimize without vendor-specific constraints.

Building Multi-Model AI Agents in Practice
Here is an updated example showing how easy it is to leverage different models for different stages of an agent workflow:
Pythonfrom openai import OpenAI

client = OpenAI(
base_url=”https://api.ai.cc/v1″,
api_key=”your_ai_cc_api_key”
)

# Stage 1: Use Grok for creative brainstorming
brainstorm = client.chat.completions.create(
model=”grok-4″,
messages=[{“role”: “user”, “content”: “Generate 5 innovative ideas for an AI research assistant”}]
)

# Stage 2: Use Claude for structured reasoning and planning
plan = client.chat.completions.create(
model=”claude-4.5-opus”,
messages=[{“role”: “user”, “content”: f”Create a detailed execution plan from these ideas: {brainstorm.choices[0].message.content}”}]
)

print(“Brainstorm:”, brainstorm.choices[0].message.content)
print(“Execution Plan:”, plan.choices[0].message.content)
With this pattern, developers can construct sophisticated agents that intelligently combine creativity (Grok), deep analysis (Claude), general capabilities (ChatGPT), and multimodal processing (Gemini) — all without managing separate integrations.
Advantages for Developers and Enterprises
Teams adopting AI.cc’s one-API solution typically experience:

Dramatically faster prototyping and iteration when testing or combining new models.
Reduced engineering overhead, freeing developers to focus on agent logic, memory systems, and user experience rather than API plumbing.
Better overall performance by matching each task to the model that handles it most effectively.
Greater resilience, as applications can gracefully fallback or route around any single provider’s temporary issues.

This approach is particularly powerful for building agentic AI systems — autonomous agents capable of multi-step reasoning, tool use, and collaboration with other agents.
Traditional Multi-Provider Integration vs. AI.cc One-API

Model Switching: Requires new SDKs, keys, and code adaptations vs. Change only the model name
Workflow Complexity: Managing different response schemas and error handling vs. Consistent OpenAI-compatible format
Monitoring & Control: Fragmented dashboards and billing vs. Single unified view for all models
Adoption Speed for New Models: Delayed by integration work vs. Immediate availability
Agent Development Focus: Split between infrastructure and application logic vs. Pure focus on intelligent behavior

Enabling the Next Wave of AI Innovation
In 2026, the winners in AI development will be those who can fluidly combine the best capabilities from ChatGPT, Claude, Grok, Gemini, and beyond. AI.cc’s one-API solution provides the technical bridge that makes this multi-model future practical and scalable for both startups and large enterprises.
Developers ready to build more powerful AI agents and applications can sign up at www.ai.cc for a free API key and starter tokens. Full model list, detailed examples, and documentation are available to accelerate development.

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DigitalMYnd Launches with New Intelligence Platform, Reuniting Former Phoenix Marketing International Team

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DigitalMYnd Launches with New Intelligence Platform, Reuniting Former Phoenix Marketing International Team

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DigitalMYnd launches with a new intelligence platform built for a world where insights are abundant but action is scarce. By combining behavioral data with human insight, DigitalMYnd helps companies move faster, make better decisions, and turn continuous intelligence into real business results.

DigitalMYnd, a new marketing intelligence company built for a world overflowing with data but lacking true human understanding, officially launched. Founded by Al DeCotiis, Ph.D., Chairman and CEO, the company reunites former Phoenix Marketing International colleagues to bring decades of research, insight, and growth expertise to a new model for understanding people in the digital world and turning that understanding into action.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

DigitalMYnd moves beyond fragmented signals and traditional research silos by connecting unique individual digital behavior with what they think, feel, and do as well as projecting their future actions. Through analysis of proprietary AI-assisted behavioral and consumer research modeling, the company provides clients with comprehensive and modeled actual human data and attitudinal measures and turns them into actionable business decisions — and ultimately, faster, more confident action.

According to Dr. DeCotiis, “The future of consumer marketing lies in the precise development of human behavior roadmaps based on both actual behavior and emotional decision-making models. The DigitalMYnd holistic approach is unique in providing such insights and models,” according to Dr. DeCotiis.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

“With that core belief in mind, the combination of behavioral data, qualitative and quantitative human insight, and measurement within one integrated system will enable companies to identify earlier signals, make better decisions, and act with greater speed and precision,” added John Schiela, Chief Client and Commercial Officer of DigitalMYnd.

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Quantiphi Named First Preferred Amazon Quick SI Partner by AWS Generative AI Innovation Center

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Quantiphi Named First Preferred Amazon Quick SI Partner by AWS Generative AI Innovation Center

Quantiphi, an AI-first digital engineering company, has been named as the First Preferred Amazon Quick Global SI Partner by the AWS Generative AI Innovation Center (GenAI IC) Partner Innovation Alliance (PIA), enabling Quantiphi to modernize data strategies with Agentic AI and transform enterprise productivity for customers worldwide.

Through the launch of Quick, AWS introduced an intelligent workplace assistant that connects to systems and data to learn how businesses work. It powers employee productivity and workforce transformation by adapting with every interaction, delivering personalized insights and proactive recommendations and taking action. Quantiphi is investing in Line of Business (LOB) and industry-specific solutions through its expanded Innovation Center collaboration, and part of that initiative is the company’s broader deployment of Quick across its AWS business landscape.

Marketing Technology News: MarTech Interview with Lee McCance, Chief Product Officer @ Adverity

“Quick enables us to deliver agentic AI solutions that drive tangible business outcomes, from automating complex workflows to unlocking insights,” Quantiphi AWS Global CEO Jim Keller said. “This First Preferred Amazon Quick SI Partner designation strengthens our ability to scale these outcomes across our customer base and accelerate enterprise adoption of production-ready agentic AI.”

The Innovation Center connects organizations with AWS AI/ML Science Advisory and Strategy experts to help them envision, identify and develop generative AI solutions. The Innovation Center’s Partner Innovation Alliance (PIA) combines its proven methodology with Quantiphi’s extensive domain expertise to address challenges like operational inefficiencies, customer engagement gaps and innovation roadblocks through scalable generative AI use cases.

“By continuing to collaborate closely with AWS and the Generative AI Innovation Center to bring Quick solutions to the AWS marketplace, Quantiphi will have the ability to drive faster, more impactful outcomes for end-users across functions including HR, Finance, Sales and Marketing, solving what matters and enabling scalable transformation for businesses,” Keller said.

Marketing Technology News: What is a Full Stack Marketer; What MarTech Matters Most to Full Stack Marketers?

“Leveraging the GenAI IC’s “Live in 45″ methodology, Quantiphi accelerates Time to Value by deploying Quick agents and automation into production within 45 days, turning high impact use cases into measurable business outcomes across lines of business,” AWS GenAI IC Forward Deployment Engineering and Quick Leader Shaun Collett said. “This rapid delivery framework, combined with Quantiphi’s deep domain expertise and the GenAI Innovation Center’s proven approach, enables enterprise workforce transformation at scale.”

Since its inception, the AWS Generative AI Innovation Center has helped more than 1,000 organizations achieve business success with AI. As a member of the Partner Innovation Alliance, Quantiphi is contributing its resources and expertise to amplify these efforts, enabling businesses to harness the full potential of generative AI and drive sustainable growth and innovation at scale.

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Stonly Launches Knowledge Agents to Keep Customer Service Knowledge Current, Accurate, and AI-Ready

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Stonly Launches Knowledge Agents to Keep Customer Service Knowledge Current, Accurate, and AI-Ready

AI innovation continuously monitors changing source material and live support signals, identifies knowledge gaps and errors, and drafts precise updates to support knowledge

Stonly, the agentic AI and knowledge platform for customer service, announced the launch of Knowledge Agents, a new AI capability designed to help support organizations keep the knowledge used by customers, agents, and AI 100% accurate and up to date.

Knowledge Agents go beyond the basic generation and suggestion capabilities of current tools to address the harder problem: continuously monitoring source material and live support signals, identifying meaningful knowledge gaps, inconsistencies, and changes, and drafting precise updates to structured knowledge for easy human review and approval.

As companies try to scale AI in customer service, most are doing it on top of knowledge that changes constantly: policies, product updates, ticket-handling practices, compliance documents, and internal feedback. In most organizations, knowledge goes stale, gaps go undetected, and conflicts accumulate faster than teams can find and fix them. The result is a weak foundation for both human support and AI.

With Knowledge Agents, Stonly introduces AI agents that work 24/7 to build and manage the kind of operational knowledge customer service requires to operate reliably. As source material changes, Knowledge Agents identify where those changes matter across the knowledge base, determine what needs to be updated, draft the edits, and route them for approval. For knowledge teams that are almost always under-resourced relative to the volume of change they need to manage, this automates work that is almost entirely manual today.

“Knowledge teams always tell us they are ‘small but mighty.’ They do not have a content generation problem, they have a change-management problem,” said Alexis Fogel, Founder and CEO of Stonly. “Critical information changes constantly across dozens of places, with different owners, formats, and purposes. Knowledge Agents help teams keep their support knowledge current and accurate so both agents and AI can operate from what is actually true.”

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

What Knowledge Agents Do

Monitor and Update

Teams connect their sources of truth: resolved tickets, search and AI queries, SharePoint, Confluence, Google Drive, websites, PDFs, and other systems that hold truth in the organization. Knowledge Agents continuously monitor those sources. When something changes, they trace the impact across support knowledge bases and help centers, identify every guide, workflow, and article where the change is material, and draft the update. Not summaries or generic rewrites, but precise edits: new branches, new steps, insertions, and replacements. Everything appears in a dashboard where teams can review, adjust, approve, and publish.

Knowledge Health Score

Separate from source changes, Knowledge Agents continuously audit content for broken links, conflicts, duplicates, and inconsistencies; the issues that confuse both people and AI. Teams get a configurable view of knowledge health that would otherwise require hours of manual auditing, along with detailed suggested fixes to strengthen the underlying source of truth for customer service.

Prompt-Based Knowledge Operations

Teams can ask questions and give multi-step instructions to simplify knowledge management work. Knowledge Agents can execute projects such as “Find every place we reference ‘refund rules’ and replace it with ‘returns policy,’ but only where it relates to in-store purchases,” across the entire knowledge base. From content creation to answering natural-language questions about the knowledge base, knowledge management tasks that normally take hours can be completed by Knowledge Agents in moments.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

Why It Matters Now

When knowledge falls behind, the costs are tangible. Agents take longer to find answers, interrupt teammates, escalate issues that should not need escalation, and make mistakes because the right information was not there. Customers feel it in self-service, with missing or wrong information driving frustration, lower satisfaction, and more contact volume.

Now, AI has made the problem mission-critical. Customer service AI is designed to operate from the knowledge it is given, which is how organizations reduce hallucination risk. But unlike a human agent, AI cannot use judgment to detect that the underlying content is wrong. If the knowledge is inaccurate, incomplete, or inconsistent, AI scales that problem across every interaction. What was once painful is now impossible to ignore.

“At the same time that AI made accurate, structured knowledge essential,” Fogel explained, “agentic AI enabled Stonly to develop advanced Knowledge Agents that automate the most challenging parts of knowledge management that were not possible before.” The result is a foundation that keeps pace with the business, so every agent, every self-service experience, and every AI interaction operates from knowledge that teams can trust.

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Are you losing loyalty transactions to AI agents?

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Are you losing loyalty transactions to AI agents?

Eagle Eye Logo

Agentic commerce is coming to the Asia-Pacific region. The retailers who win will be the ones whose loyalty infrastructure is fast enough for machines to find

Picture this: A loyal customer asks their AI assistant to restock the household essentials they buy every fortnight. The agent checks inventory, compares prices, and looks for loyalty benefits it can apply. Your competitor’s loyalty platform responds in under 250 milliseconds with a personalised offer. Yours times out.

The agent completes the purchase with the competitor.

That scenario isn’t hypothetical for much longer. Google’s Universal Commerce Protocol (UCP) is creating the standardised infrastructure for AI agents to discover products, check stock, apply loyalty benefits, and complete purchases on behalf of consumers, all without the shopper visiting a website or opening an app. The transaction happens inside the conversation.

For more than a decade, the retail industry has treated chatbots and personalisation engines as the headline AI story. They’re finally decent. But the more consequential shift is happening at the transaction layer, and in my conversations with retailers across Asia-Pacific, very few are thinking about it yet.

Agentic commerce to remove the shopfront entirely

It’s worth being precise about what agentic commerce actually changes, because the instinct is to file it under “better e-commerce.” It isn’t.

Traditional e-commerce moved the shopfront online but kept the same structure: browse, select, add to cart, enter details, pay. Agentic commerce removes the shopfront entirely. The AI agent becomes the interface. The “store” becomes a set of machine-readable data and APIs that the agent queries on the customer’s behalf.

This matters for two reasons. First, it eliminates the handoff that kills conversion. When a customer moves from a search result to a retailer’s mobile checkout, roughly 6-in-10 drop off. Under UCP, the customer stays in the conversation, uses saved credentials, and completes the transaction. Industry estimates suggest this could lift conversion rates meaningfully, some early projections point to double-digit improvements.

Second, it changes data ownership. On aggregator platforms, and aggregator-led e-commerce dominates our region, the platform captures the customer relationship. Under UCP, the merchant remains the legal seller and retains all customer data.

Pricing, fulfilment, and the customer relationship stay with the retailer. For Asia-Pacific retailers who’ve spent years competing on someone else’s marketplace, that’s a fundamentally different commercial model.

Loyalty infrastructure will offer competitive edge

This is where I think most commentary on agentic commerce is missing the point. The discussion tends to focus on payments and product discovery. But loyalty infrastructure is going to be the differentiator, the thing that determines whether an AI agent routes a transaction to you or to your competitor.

UCP supports identity linking, meaning a shopper’s loyalty credentials can be connected to their AI agent. When that shopper searches for a product, the agent can call out to a loyalty platform in real time, check point balances, access personalised offers, apply member pricing, all within the conversation and before checkout completes.

Think about what that means for the promotional model. Mass offers applied uniformly across a customer base have always been an imprecise tool: they attract price-sensitive shoppers and discount purchases that would have happened at full price.

In an agentic context, the agent already knows the shopper’s intent, preferences, and purchase history. A targeted offer served at that exact moment converts at higher rates with less margin erosion.

But here’s the catch: the loyalty platform has to be fast enough. We’re talking sub-250-millisecond response times at scale, across thousands of concurrent transactions. If your system can’t issue and redeem a personalised offer in the time it takes an AI agent to assemble a cart, the agent moves on. It’s not personal. It’s architecture.

Payments and loyalty are converging inside the agent

The other piece falling into place is payment infrastructure. This is sometimes discussed separately, but in an agentic transaction, payments and loyalty are resolved in the same interaction. In other words, they’re converging.

Mastercard has already completed live authenticated agentic transactions in Singapore through DBS Bank and UOB, using Agentic Tokens and Payment Passkeys. Visa is expanding its Intelligent Commerce framework across Asia-Pacific with pilot programs underway, partnering with Ant International, Tencent, and others. Singapore is emerging as the testing ground for both networks.

For retailers, the implication is that the payment authorisation and the loyalty redemption will happen in the same sub-second window. If your loyalty platform and your payment stack can’t talk to each other at that speed, you’re creating friction that an AI agent will route around.

Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel

Physical store is advantageous

There’s a common assumption in global commentary that agentic commerce is a purely digital play. I think that’s a misread of our region.

Roughly 90 per cent of retail in Southeast Asia still happens in physical stores. That’s not a lag, rather a feature. And, it’s exactly why agentic commerce could be more transformative here than in markets where e-commerce already dominates.

UCP enables real-time local inventory queries, buy-online-pick-up-in-store transactions, and location-specific knowledge. An AI agent can confirm whether a product is available at a shopper’s preferred store, reserve it, and arrange for collection, all within a single conversation.

For a region where proximity and convenience drive purchasing decisions, this connects digital intelligence to physical operations in a way that pure e-commerce never could.

FairPrice’s “Store of Tomorrow” concept points in this direction. Digital agents help customers navigate physical aisles. Smart carts use conversational AI for in-store assistance. The checkout process integrates digital loyalty and payment without requiring traditional point-of-sale interaction. It’s not replacing the physical store, it’s making it smarter.

The consumer appetite is there. The region’s digital infrastructure is mature, mobile payment adoption is high, super-apps are embedded in daily life, and a significant majority of APAC shoppers say they want AI-powered shopping features.

Lazada has deployed multiple AI agents, Shopee is integrating AI across its buyer and seller experiences, and both card networks are running live pilots in our markets.

Three questions for your next leadership meeting

I’ve been road-testing a set of questions with the retail teams I work with across the region. They’re useful as a self-assessment for agentic readiness:

First: Can your loyalty platform issue and redeem personalised offers in under 250 milliseconds during peak traffic? Not in a demo environment, in production, at scale, across all channels including in-store.

Second: Is your product and inventory data structured in a way that AI agents can query in real time? If your catalogue lives in PDFs or behind login walls, it’s invisible to the agent economy.

Third: When an AI agent evaluates your loyalty program against a competitor’s, side by side, in milliseconds, with no human intervention, will yours be visible and fast enough to win the transaction?

If the answer to any of these is no, the agent will route your customer to a retailer who can say yes. Not because the customer chose to leave, but because the machine did.

About Eagle Eye

Eagle Eye is a leading SaaS and AI company, enabling retail, travel and hospitality brands to earn lasting customer loyalty through harnessing the power of real-time, omnichannel and personalized marketing. Our powerful technology combines the world’s most flexible and scalable loyalty and promotions capability with cutting edge, built-for-purpose AI to deliver 1:1 personalization at scale for enterprise businesses, globally.

Our growing customer base includes Loblaws, Southeastern Grocers, Giant Eagle, Asda, Tesco, Morrisons, JD Sports, E.Leclerc, Carrefour, the Woolworths Group and many more. Each week, more than 1 billion personalized offers are seamlessly executed via our platform, and over 500 million loyalty member wallets are managed worldwide.

AI-powered, API-based and cloud-native, Eagle Eye’s enterprise-grade technology is fully certified by the MACH Alliance and has received recognition from leading industry bodies, including Gartner, Forrester, IDC and QKS. To find out more visit: https://eagleeye.com/.

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The Semantic Shift: How AI Discovery is Reshaping Global Martech Strategy

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The Semantic Shift: How AI Discovery is Reshaping Global Martech Strategy

In an AI-driven buyer landscape, being “found” is no longer enough; being understood is what drives measurable results.

Long before modern marketing existed, humans communicated solely through spoken language before adopting an early form of localization using images and symbols to communicate stories across tribes and cultures. Centuries later, innovations such as the printing press made it possible to distribute knowledge globally at scale, with works such as the Gutenberg Bible becoming some of the first widely translated texts. More recently the internet ushered in a similar exponential leap in global communication.

And now we are seeing new means of brand information dissemination that will likely have a similar impact on how we share information. Websites are falling away as the primary destination for both information and transactions, as increasingly discovery is happening through conversational interfaces, voice assistants, and AI-driven platforms where users have come to expect ultra-fast, highly contextual answers.

With AI as the new default user interface, marketers are changing their approach to content localization. The new imperative for marketers is semantically rich, intelligently structured content that machines can interpret and surface wherever discovery occurs. With generative engine optimization (GEO) and conversational search, localization is no longer just about language that resonates with local buyers but also building content that is inherently discoverable across markets, channels, and technologies.

The challenge is that global brands are rolling out AI‑generated content at scale without understanding how models interpret meaning, tone, or cultural nuance across markets. The result: off‑brand messaging, embarrassing mistranslations, and poor customer experiences. Marketers are discovering that “multilingual AI” isn’t actually delivering the necessary cultural relevance.

AI-Driven Discovery Changes Everything

For years, marketing technology stacks have been built around keyword optimization, campaign automation, and performance analytics. But as AI-driven discovery reshapes how buyers research brands and solutions, traditional SEO tactics are no longer enough. Modern search systems evaluate content based on semantic understanding — whether it demonstrates a clear grasp of buyer intent, not just keyword relevance.

AI-powered discovery engines prioritize questions over isolated terms, concepts over fragmented phrases, and contextual meaning over traffic volume. Increasingly, they evaluate whether content clearly communicates the problem a company solves, the audience it serves, and how it differentiates from competitors within specific buying scenarios. Relevance is dynamic, shifting across industries, geographies, and regulatory environments — and AI systems are designed to favor these nuances.

This means semantically aligned content attracts more qualified audiences, improves engagement, and accelerates pipeline readiness.

Global Martech Strategies Need a Semantic Foundation

Global marketing organizations have invested heavily in martech platforms to accelerate content delivery, automate workflows, and scale campaign execution. Yet international performance often lags behind expectations.

Direct translation preserves wording but often loses the contextual signals that influence conversion. Traditional transcreation can address this, but differences in local search behavior, industry terminology, regulatory requirements, and cultural framing shape how buyers evaluate solutions. For example, compliance-related searches may differ significantly between markets, while terminology used to describe risk, security, or operational efficiency can vary widely across regions.

When these nuances are lost, content may be linguistically accurate but commercially invisible — particularly to AI systems trained to evaluate authority and relevance. The result is weaker engagement, inconsistent campaign performance, and underutilized martech investments.

With a semantic approach, products, services, and value propositions are clearly defined using language aligned to real buyer challenges. Problem–solution narratives reflect real-world use cases, and content answers high-intent questions in natural language. Consistent terminology and entity clarity are maintained globally while contextual examples are adapted locally.

For revenue teams, this approach results in higher-quality organic traffic and improved conversion rates across regions.

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Building a Semantic Framework in the Martech Stack

AI-powered content and SEO tools have become essential components of the modern martech ecosystem. Topic modeling can reveal high-intent content gaps, entity extraction can sharpen positioning, and structured data can strengthen relevance signals. AI-assisted content expansion can accelerate authority building in priority segments.

However, automation without a defined semantic framework often leads to fragmentation across markets and channels.

The foundation should begin with a semantic core defined in the source language. This includes standardized descriptions of solutions, industries, use cases, and differentiators. Establishing this foundation determines which elements must remain globally consistent to maintain brand clarity and which should adapt to local buyer behavior.

Once defined, this semantic strategy should be embedded into marketing operations — including localization workflows, governance processes, and performance measurement. This is where SEO, marketing operations, and localization maturity intersect, turning content from a production task into a structured growth asset.

The Future of Global Demand Generation

The future of global demand generation will not be defined by producing more campaigns or increasing content velocity. Instead, success will depend on ensuring that content is clearly understood by both buyers and machines across every target market.

Semantically structured global content improves discoverability in AI-driven search environments while strengthening alignment across marketing, product, and revenue teams. It increases traffic quality, accelerates pipeline contribution, and supports scalable international growth.

In an AI-driven buyer landscape, being “found” is no longer enough. Being clearly understood is what drives measurable results — and for martech leaders focused on predictable growth, semantic clarity is quickly becoming a core competitive advantage.

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Sinch named a leader in IDC MarketScape for Communications Engagement Platforms

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Sinch named a leader in IDC MarketScape for Communications Engagement Platforms

Sinch (Sinch AB (publ)) has been named a Leader in the inaugural IDC MarketScape: Worldwide Communications Engagement Platforms 2026 Vendor Assessment*- the first analyst evaluation to assess vendors across the converging landscape of Communications Platform as a Service (CPaaS), Unified Communications as a Service (UCaaS), and Contact Center as a Service (CCaaS).

Until now, enterprise buyers evaluating communications technology have faced a fragmented analyst landscape, with CPaaS, UCaaS, and CCaaS assessed separately, as though buying decisions happened in silos. The IDC MarketScape: Worldwide Communications Engagement Platforms 2026 is the first evaluation to reflect how enterprises actually buy, assessing vendors across the full converged stack in a single framework. For CIOs, CX leaders and contact center decision-makers, that means a clearer and more complete view of which vendors can deliver across the entire engagement lifecycle — not just one layer of it.

We believe being named a Leader in this inaugural edition carries particular weight: it helps define the benchmark before the category matures and signals to buyers that Sinch was evaluated and against the market’s broadest definition from day one.

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“Sinch has a broad and deep portfolio of cloud communications services for both business and service provider platforms,” said Denise Lund, Research Vice President WW Telecom and Unified Communications, IDC IDC. “A key differentiator is Sinch’s AI-native orchestration layer, which enables context-aware, compliant and outcome-driven customer interactions across messaging, voice, and email. Combined with deep carrier relationships, global compliance expertise, and decades of experience operating at scale, Sinch provides the trusted foundation enterprises rely on when security and reliability are non-negotiable.”

According to the report, “A key differentiator is Sinch’s AI-native orchestration layer that enables context-aware, compliant, and outcome-driven customer interactions across messaging, voice, and email. Its comprehensive portfolio addresses the needs of distinctive business sizes and user groups, ranging from an advanced API suite for developers to specific use cases such as marketing campaigns, customer updates, identity and verification, and customer service. Its sweet spot is in the midmarket and large enterprise segment across a variety of verticals, with a differentiated services stack for the telco segment.”

“Customer engagement is becoming more connected, intelligent and global,” said Laurinda Pang, CEO of Sinch. “The convergence of conversational messaging, voice and AI is not a trend — it is a restructuring of how enterprises engage with customers. We believe being recognized as a Leader in the inaugural evaluation of this combined landscape validates that Sinch is the infrastructure this shift runs on.”

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Sinch’s communications engagement platform includes:

  • a Conversation API unifying more than 14 messaging channels with orchestration and intelligent routing,

  • a global email platform delivering high deliverability at enterprise scale,

  • a carrier-grade voice network supporting programmable voice and AI-driven voice experiences, and

  • a unified Verification API enabling secure authentication and fraud prevention.

Together, these capabilities form a trusted infrastructure layer that allows enterprises — and the AI agents working alongside them — to engage with customers with intelligence, reliability and global reach.

This recognition builds on Sinch’s continued analyst momentum. In 2025, Sinch was also named a Leader in the IDC MarketScape: Worldwide Communications Platform-as-a-Service (CPaaS) Vendor Assessment (doc #US52039625, February 2025), marking the third time in recent years that the company has achieved this distinction.

Sinch powers communications for more than 200,000 businesses worldwide, enabling hundreds of billions of interactions each year across messaging, voice and email. The company connects enterprises with customers in more than 190 countries through more than 600 direct carrier connections.

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For PR and MarCom professionals, brand discovery just changed: Brandpoint is first to market with AI visibility solution at scale

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For PR and MarCom professionals, brand discovery just changed: Brandpoint is first to market with AI visibility solution at scale

Brandpoint helps PR and marketing professionals prove the impact of their work with the first end-to-end solution for premium content placement, earned editorial coverage and measurable AI visibility — all in one solution.

Brandpoint announced its evolution as the industry’s first solution to create, distribute and measure brand campaigns across paid and earned media. This breakthrough connects every campaign directly to measurable AI visibility, giving PR and MarCom leaders the actionable intelligence to know not just how they performed, but what to do next.

Brandpoint is the first solution to create, distribute and measure brand campaigns across paid and earned media.

With the launch of Brandpoint Optimize™, brands can distribute their branded content at scale, drive earned media pickup and see how their content surfaces in AI-driven search. For the first time, leaders can now understand the quality of their AI visibility, how audiences and competitors behave, and use those insights to plan and execute smarter campaigns.

It is a capability the industry has needed, and a category only Brandpoint could create.

“The communications industry is at an inflection point with AI deciding what consumers see in their search results,” said Lisa Jilek, CEO of Brandpoint. “Brand storytellers are now at the forefront of the AI economy. For 30 years, PR and marketing professionals have trusted our network to get their content in front of the right audience. Now, Brandpoint’s new suite of predictive intelligence tools is changing the face of MarCom planning. Brandpoint Optimize™ is built on that foundation — and it’s the first proof point of our commitment to building the tools this industry needs next. We’re not just keeping pace with how brands get found today. We’re leading it.”

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A new era of brand discovery

The way audiences find brands has fundamentally changed. Sixty percent of Google searches now end without a click — users get their answers directly from AI overviews or chatbots. The new measure of brand awareness success isn’t just reach or impressions. It’s whether your brand shows up when AI decides who the leaders in your category are.

Most communications teams have no way to answer that question. Brandpoint heard this from clients repeatedly. Rather than waiting for the industry to catch up, it built the solution.

“Innovation is about listening to customers — hearing what they are and aren’t saying — and building products that deliver value they didn’t know they needed. Our clients kept asking the same question: How do we know our content is showing up in AI, and how do we prove it? Nobody had a good answer. We built one,” said Stacy Stusynski, Chief Commercial Officer of Brandpoint.

Why only Brandpoint can do this

Building this capability required something no competitor can replicate overnight: three decades of learning from PR industry insights and MarCom behavior data, a proprietary network of high-authority news and media publications, and the infrastructure to connect distribution to editorial coverage to measurable outcomes.

That foundation is what makes the difference. Brandpoint doesn’t just place content — it places content where the results can expand. Premium distribution builds editorial presence. Editorial presence builds AI visibility. AI visibility builds brand authority. And now, for the first time, enterprise leaders can measure every step of that chain and act on what the data shows.

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What comes next

This announcement is the first chapter of a larger roadmap. In summer 2026, Brandpoint will continue its intelligence-led innovation to give brands a full dashboard with predictive competitive insights, consumer intent data and campaign simulation capabilities — giving PR and MarCom leaders not just the ability to measure AI visibility, but the strategic intelligence to build the campaigns that drive it.

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Highwire Launches AcroAI, the Most Advanced Agentic AI Platform for Marketing and Communications Clients

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Highwire Launches AcroAI, the Most Advanced Agentic AI Platform for Marketing and Communications Clients

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Innovative platform amplifies Highwire’s expert counsel, turning complexity into competitive advantage

Highwire, a strategic marketing and communications agency at the intersection of innovation and industry, announced the launch of AcroAI, ​an agentic AI platform that gives marketing and communications leaders real-time strategic insights to drive measurable business impact securely and at scale.

Highwire Launches AcroAI, the Most Advanced Agentic AI Platform for Marketing and Communications Clients: Innovative platform amplifies Highwire’s expert counsel, turning complexity into competitive advantage

AcroAI puts agentic AI and real-time collaboration directly into clients’ hands for the first time while giving Highwire’s expert practitioners the ability to scale with strategic judgment, sector-specific methodologies, and proven workflows that have defined the agency’s highest-impact programs. It extends Highwire’s existing suite of AI-powered client offerings, including the Highwire AI Index for AEO and GEO and advanced measurement suites.

“We’ve built Highwire’s AI strategy around a core belief that the right combination of human expertise and artificial intelligence transforms teams into indispensable business partners,” said Carol Carrubba, President of Innovation at Highwire. “Combining our firm’s talent with AcroAI gives our clients powerful leverage to be the most prepared, most creative strategist in any conversation.”

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Built for the full marketing and communications workflow

AcroAI covers the complete range of marketing and communications operations, deploying coordinated “fleets” of specialized agents trained on a firm’s own knowledge, methodologies and brand standards. These agents aggregate intelligence from more than 100 data sources to:

  • Monitor competitive and market signals in real time;
  • Optimize content for both SEO and generative engine optimization (GEO); and
  • Develop and execute multi-channel campaigns with consistent brand voice across every channel where audiences discover, evaluate and act.

The platform’s multi-model architecture dynamically selects the best AI model for each specific task, optimizing for both speed and output quality. Integration with existing tools, including SharePoint, Google Drive, HubSpot, Slack, and Microsoft Teams, means teams can deploy AcroAI in their current workflows without disruption.

Enterprise security and compliance at the core

AcroAI carries SOC 2 Type 2 certification and runs on Google Cloud Platform. The platform features single sign-on, full encryption for data in transit and at rest, and a strict data-handling policy that guarantees client data is never used to train public AI models. Teams maintain human oversight across all agents and workflows, giving leadership teams the transparency and control that complex, regulated environments demand.

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Powered by practitioners, amplified by algorithms

Unlike generic AI platforms that rely on constant direction, AcroAI agents are trained by seasoned agency professionals, so every output matches organizational standards and brand voice without sacrificing the institutional depth that senior audiences expect.

The platform supports the business impact of marketing communications teams across three dimensions:

  1. Stronger market differentiation through repeatable narratives that reinforce brand authority over time;
  2. Productivity gains from automating time-consuming desk research and repetitive tasks; and
  3. Higher-quality, more consistent deliverables that embed a firm’s perspective into every output.

“We built AcroAI because we saw the gap between what AI promises and what marketing and communications teams actually need,” said Jason Mayde, Chief Technology Officer at Highwire. “The platform runs on proven agentic architecture with the governance, security, and brand standards that regulated industries require. AI that operates at that level of institutional specificity becomes a competitive advantage for the teams running it.”

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Klaviyo Strengthens Canva Partnership with Expanded Integration to Help Marketers Build Creative Campaigns Faster

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Klaviyo Strengthens Canva Partnership with Expanded Integration to Help Marketers Build Creative Campaigns Faster

Marketing Tools for Small Businesses - Klaviyo

Klaviyo, the autonomous B2C CRM, and Canva announced a deepened commitment to their partnership with an expanded integration that enables marketers to design and streamline full campaigns in Canva and reach consumers wherever they are. Marketers can seamlessly bring their Canva designs into Klaviyo to personalize, refine, and deliver customer experiences at scale.

The expanded capabilities build on the rapid adoption of the existing Klaviyo-Canva integration, which launched nearly two years ago and quickly became the fastest-growing integration in Klaviyo’s ecosystem. more than 1 in 5 Klaviyo customers use the Canva integration, making it one of the most popular integrations in the platform.

“Canva is the AI content creation layer powering how businesses show up online,” said Anwar Haneef, GM and Head of Ecosystem at Canva. “We handle the last mile of design, and by connecting directly with Klaviyo, marketers can take a polished, on-brand asset and immediately put it to work, reaching the right audience with a personalized message built to drive revenue.”

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Powering personalized customer experiences

Klaviyo and Canva view the value of data in the same way. They both rely on data to enhance user experience, fuel AI-powered design features, and deliver personalized content. This clear connection between design and data enables marketing teams to move faster from concept to execution – turning visually compelling campaigns into highly targeted experiences without rebuilding assets or switching workflows.

With the expanded integration, marketers can now:

  • Import full design layouts into Klaviyo directly from Canva, eliminating the need to rebuild from scratch.
  • Refine and personalize campaigns in Klaviyo using segmentation, automation, and customer data.
  • Collaborate more efficiently across teams, enabling designers and marketers to work in their preferred tools while maintaining a seamless workflow.

“Creative and marketing teams often work in separate tools, which slows down the path from design to campaign launch,” said Andrew Bialecki, co-founder and co-CEO of Klaviyo. “Our enhanced integration with Canva makes it even easier for marketers to move from beautiful design to personalized customer engagement in just a few steps. Together, Canva and Klaviyo help brands bring creativity and data together to deliver better customer experiences.”

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Bringing Canva and Klaviyo to wherever marketers work

Together, Klaviyo and Canva empower marketers with a more powerful AI workflow. Cutting complexity and code leads to faster, better decisions and results for the consumers marketers are trying to reach.

Klaviyo is now more deeply connected to a rapidly growing base of Canva users building campaigns directly within the platform. Klaviyo will be featured in additional in-app placements to make it easier for Canva customers to discover Klaviyo and export designs.

For brands already using both platforms, the integration helps streamline collaboration between creative and lifecycle marketing teams.

“At Rooftop Cinema Club we’re consistently creating new campaigns for our loyal fans both in the U.S. and the UK and being that we’re spread across two continents, Klaviyo and Canva make it much easier for our teams to collaborate on campaigns,” said Jeaneen Bengtson, Director of Experience at Rooftop Cinema Club. “Our design team can build polished layouts in Canva, and our marketing team can bring those designs directly into Klaviyo to personalize and share. It saves our team time and helps us launch campaigns faster.”

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Uplynk Announces Strong Operating Performance and Accelerated Product Innovation

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Uplynk Announces Strong Operating Performance and Accelerated Product Innovation

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Delivers Double-Digit Adjusted EBITDA Margin and Positive Cash Flow in Initial Fiscal Year as a Standalone Company

Forecasts 20%+ Growth in Core Revenue for Fiscal Year 2026 Driven by Modular Products and Managed Services that Provide Customers with Maximum Flexibility

Increases the Pace of AI-Enabled Development to Drive Efficiencies and Benefits for Company and its Customers

Uplynk, a cloud-native streaming platform built for broadcast-grade video at scale, shared an update on its positive momentum and accelerating pace of innovation. Uplynk’s products and services leverage a proven framework of reliability, operational control, and accountability shaped by almost two decades of experience serving the industry’s most demanding live, linear, and on-demand environments, where failure is not an option. As streaming workflows grow increasingly complex, Uplynk is doubling down on the areas where it has the greatest proven customer impact: helping teams simplify operations, add new monetization opportunities, and flexibly scale video delivery with confidence.

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“We are proud of the progress we made across the business over the past year, and we are well-positioned to continue investing in the products and services that matter most to our customers”

“We are proud of the progress we made across the business over the past year, and we are well-positioned to continue investing in the products and services that matter most to our customers,” said Eric Black, CEO and CTO of Uplynk. “We are providing our customers with operational experience, managed services, and differentiated tools to support their goals of launching channels, expanding live distribution, and monetizing their streaming businesses at scale. Importantly, our investment in modularizing our products and services enables customers to implement our best-of-breed capabilities while preserving and leveraging their existing internal investments.”

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Managed Services (StreamOps) is a growth engine for Uplynk, with revenue up more than 40% year over year in Q1 2026 across Uplynk’s core business. Momentum remained strong as organizations increasingly relied on Uplynk to help them rapidly expand without needing to build large internal teams. Uplynk continued to deepen relationships with customers, including ReachTV and EverPass, while broader engagement with organizations such as Hearst and Scripps emphasized increased demand for production‑ready streaming platforms paired with hands‑on operational support.

Uplynk accelerated the pace of innovation over the past year, introducing new product capabilities to reduce operational complexity and customer costs, including Squeeze Backs for incremental monetization, Transcription and Translation APIs to support localization and accessibility, and AI-driven clipping to accelerate content reuse. Platform and workflow enhancements across ingest, content management, and monetization further reduced failure points and operating overhead for customers streaming at scale. Uplynk delivered these capabilities while maintaining broadcast‑grade reliability, with high platform and content availability supported by a multi‑region architecture that automatically shifts traffic to maintain uninterrupted streaming.

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