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Seela Launches an All-in-One AI Creative Platform for Image Generation and Multi-Model AI Comparison

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Seela Launches an All-in-One AI Creative Platform for Image Generation and Multi-Model AI Comparison

Seela announced its all-in-one AI-powered creative platform, integrating text-to-image, image-to-image, and multi-model AI chatbot comparison into a streamlined workspace, enabling users to explore, compare, and create with greater clarity and confidence. Designed for creators, designers, marketers, and teams interested in AI, the platform aims to provide them with creative freedom and informed decision support.

AI chat: Side-by-Side AI Model Comparison in One Conversation

One of Seela AI’s core innovations is its multi-model chat comparison system.

Users simply submit a prompt and simultaneously receive responses from large language models such as ChatGPT, Claude, Grok, and DeepSeek—these responses are displayed side-by-side on the same screen. This allows users to directly compare the reasoning style, tone, accuracy, and creativity of different models without having to repeatedly submit prompts across different platforms.

For professionals who rely on AI for content creation, research, or creative brainstorming, this approach instantly reveals model differences, reducing decision-making friction and improving output quality.

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Flexible AI Image Generation Built for Real Use Cases

Seela AI also offers powerful yet easy-to-use AI image generation capabilities, supporting text-to-image and image-to-image workflows, enabling users to efficiently generate, optimize, and transform visual content. Seela AI also includes commonly used image utilities such as background removal, watermark removal, and popular art styles, usable without additional tools, making it particularly useful for social media teams, designers, and growth marketers who need to produce visual content at scale.

Designed for Speed, Clarity, and Creative Control

Unlike platforms built primarily for AI researchers, Seela AI emphasizes usability and workflow simplicity. Its visual-first interface lowers the learning curve while preserving advanced controls for power users.

“As AI models multiply, users shouldn’t have to,” said the Seela team. “Our goal is to give users control and visibility—so they can focus on creating, not managing tools.”

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What’s Next

Seela AI is currently in its MVP stage, focusing on two core capabilities: multi-model AI chat comparison and AI image generation. In the future, Seela plans to expand to video model support and more creative scenarios, gradually developing into a centralized hub for AI-driven creation and experimentation for creators.

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O3 Solutions Introduces Otto, a Personal AI Assistant for Capital Project Teams

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O3 Solutions Introduces Otto, a Personal AI Assistant for Capital Project Teams

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New AI capability brings real-time insight, analysis, and AWP guidance directly into project workflows.

O3 Solutions announced the launch of Otto, a new personal AI assistant embedded within its project execution platform. Designed specifically for capital project environments, Otto enables teams to interact directly with their live project data using natural language, transforming how insights are accessed and applied across planning and execution.

As capital projects move into 2026, organizations are facing increasing complexity, tighter resource constraints, and a shrinking pool of experienced talent. At the same time, projects are generating more data than ever before. While data volume has grown, the ability to quickly translate that data into actionable insight has not kept pace.

“AI isn’t going to take your job; the advantage will belong to those who know how to use it effectively,” says Josh Girvin, O3 Solutions CEO. “O3 is committed to helping our clients develop the capabilities needed to confidently apply AI and stay ahead in a rapidly evolving industry.”

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Otto is built to address this gap. Rather than relying on manual report building or specialized analytics expertise, users can ask questions directly within O3 and receive answers, visualizations, and risk indicators derived from their actual project data. The assistant combines live project information with embedded Advanced Work Packaging (AWP) domain knowledge and execution context to support consistent, informed decision-making.

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With Otto, project teams can review upcoming work packages, assess schedule risks, explore system-level delays, find the root cause for issues, analyze RFIs, and surface potential issues earlier in the project life cycle. The introduction of Otto reflects O3’s broader strategy to embed practical AI across its platform. AI capabilities are being developed as core functionality, not experimental features, with a focus on improving decision quality, preserving institutional knowledge, and supporting predictable outcomes.

Otto represents a shift from static reporting toward continuous, conversational insight, helping project teams move from data to decisions with greater clarity and confidence.

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Looper Insights Introduces Advanced Content Type & Genre Filtering to Its Merchandising Platform

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Looper Insights Introduces Advanced Content Type & Genre Filtering to Its Merchandising Platform

Optimizing Placement Across Connected TV Devices - Looper Insights

Looper Insights, the leading CTV merchandising analytics platform, announced the launch of a new Content Type and Genre filtering capability within its Merchandising module, giving customers enhanced visibility into how different types of content are merchandised on the TV screens. As a result, studios, streamers, and broadcasters can conduct more accurate competitive analyses, make strategic decisions more quickly, and measure CTV merchandising more effectively.

The new feature allows customers to filter merchandising placements by Content Type (App, Movie, TV Show) and Sub Content Type (App Bundles, Content Bundles) to isolate how different types of content are promoted on CTV home screens, whether that’s apps vs. movies or individual titles vs. bundles. Users can select a single option, multiple categories, or view all content types at once, enabling highly tailored, comparable analysis of their own and competitors’ placements. This level of visibility is critical in an environment where home-screen real estate directly impacts content discovery, viewer engagement, and revenue.

“Merchandising is no longer one-size-fits-all,” said Lucas Bertrand, Founder & CEO of Looper Insights. “Platforms promote apps, movies, and TV shows very differently, and now our customers can quantify those differences. This feature gives teams a clearer view of how content is surfaced, not just where, turning merchandising data into actionable insights.”

In addition to Content Type filtering, Looper has introduced a Genre dropdown within the Merchandising tab, allowing users to analyze placements by genre with the same flexible single-select, multi-select, or ‘select all’ functionality.

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The platform currently supports 30+ genres across a broad range of content categories. This enables teams to understand how different genres are prioritized across home screens, carousels, and promotional rows and whether execution aligns with audience demand, seasonality, or major content launches.

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“Whether you’re evaluating an app bundle strategy, tracking genre-specific promotion, or benchmarking against competitors, this new feature brings more clarity to how content is positioned on CTV platforms,” added Bertrand. “It’s another step in our mission to make CTV merchandising performance measurable, comparable, and actionable.”

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Parloa Valued at $3 Billion with $350M Series D to Lead Agentic AI for Customer Experience

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Parloa Valued at $3 Billion with $350M Series D to Lead Agentic AI for Customer Experience

Parloa, the premier provider of AI agents elevating enterprise customer experience, announced it has raised $350 million in Series D funding, bringing its valuation to $3 billion. The round was led by General Catalyst, with strong continued support from Parloa’s existing investors, including EQT Ventures, Altimeter Capital, Durable Capital Partners, and Mosaic Ventures, underscoring deep conviction in the company’s vision, execution, and market leadership.

Closing just seven months after its Series C, this round brings Parloa’s total raised capital to more than $560 million in less than four years. The company will use the funds to continue its global expansion focused on the U.S. and Europe, enhance its AI Agent Management Platform (AMP) with further industry-defining functionality, and launch the Parloa Promise, a commitment to preeminent agent reliability, relentless innovation, and human-centric responsible AI.

Ascending the ranks

Trusted by leading Fortune 200 companies and global partners, including Allianz, Booking.com, HealthEquity, SAP, Sedgwick, Swiss Life, and TeamViewer, Parloa’s amassed funding situates the company among the most capitalized firms in the customer experience field. Having recently announced multiple financial achievements and product innovations, this round’s results crystallize Parloa’s position atop a highly competitive enterprise AI sector.

“Parloa is setting the standard for enterprise-grade AI throughout the customer journey,” said General Catalyst’s CEO Hemant Taneja, who ranks in the top 10 on the prestigious Forbes Midas List. “Their platform combines innovation and scalability, making them a clear leader in this rapidly evolving space. We truly believe Parloa’s approach to agentic AI will transform how global enterprises engage with customers, and we’re excited to support their vision and continued growth.” Taneja, along with General Catalyst’s President and Managing Director Jeannette zu Fürstenberg, will be added to the Supervisory Board for Parloa.

For co-founder and CEO Malte Kosub, the Series D is proof positive Parloa’s mission is exacting needed change, for enterprise teams as well as consumers: “This funding marks a pivotal moment for Parloa as we expand globally, advance our approach to reimagine customer experience, and help enterprises to build meaningful relationships with their customers.” said Kosub. “Our commitment to these organizations is clear: to enable exceptional, hyper-personalized customer journeys through agentic AI that deepen loyalty, responsibly and at scale.”

What Parloa provides

The preferred platform among native agentic AI solutions, AMP gives enterprise CX teams a clear, intuitive way to design, manage, and evolve AI agents that transform every customer interaction into a meaningful relationship. No heavy coding necessary; just powerful, natural language used to build bespoke agents that adapt fluidly across dialects, contexts, and changing customer needs.

With AMP, experience teams can simulate agents at scale while evaluating conversation performance, gaining actionable insight into behavior and ensuring every customer interaction meets rising expectations. Real-time dashboards provide transparency into what agents are doing and why, offering clear visibility into system behavior while meeting the world’s most rigorous standards for built-in compliance, safety, and enterprise-grade data security.

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What’s next for Parloa

Parloa’s plan for geographic expansion is focused on key markets in North America and greater Europe, with offices scouted in metros like San Francisco and Madrid, a localized team in London, and a recently established U.S. HQ in midtown Manhattan.

Investors on why Parloa

Carolina Brochado, Head of EQT Growth US and Head of EQT Ventures: “Parloa is contributing to redefine what customer relationships look like at scale. Their ability to combine enterprise-grade AI with real-world intelligence, built on a strong foundation of safety and reliability, helps to set them apart in a crowded market.”

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Apoorv Agrawal, Partner at Altimeter Capital: “Parloa combines a leading agentic AI platform with the enterprise DNA to deploy it at scale – forward-deployed engineers on the ground, Fortune 500 customers in production, and a world-class go-to-market team armed with fresh capital to capture the global CX market.”

Henry Ellenbogen, Managing Partner and Chief Investment Officer of Durable Capital Partners: “We believe the next generation of category-defining companies will be built on relationships, not transactions. Parloa is leading that shift by making AI personal, contextual, and enduring.”

Mona Gindler, Partner at Senovo: “The CX market is crowded with automation tools, but very few players are pushing the frontier of truly agentic AI. Parloa stands out by moving the industry from scripted workflows to adaptive, relationship-driven agents that learn and improve over time. That’s what category leadership looks like at this stage of the market.”

Jens Rassloff, Chairman of the Supervisory Board, Parloa: “This investment marks a defining moment for Parloa. The scale of commitment and trust from our investors reflects not only the strength of our technology and execution, but also our conviction that agentic AI in customer relationships is entering a decisive phase. With this capital, Parloa is uniquely positioned to be a global category leader.”

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Wiland™ Launches MarketSignals™ Custom Personas: Data-Driven Segmentation to Find, Keep, and Grow High-Value Customers

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Wiland™ Launches MarketSignals™ Custom Personas: Data-Driven Segmentation to Find, Keep, and Grow High-Value Customers

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MarketSignals™ Custom Personas powered by real spend data—built to help you find, keep, and grow your most valuable customers.

Wiland™, the leading provider of data-driven marketing intelligence, announced the launch of MarketSignals™ Custom Personas, a new custom segmentation solution that uses proprietary consumer spend data to help brands and agencies precisely identify, understand, and activate their best customer segments.

“MarketSignals Custom Personas give marketers the missing piece in their personalization and growth strategies.” – Mike Gingell, CEO

With MarketSignals Custom Personas, marketers can go beyond “one size fits all” traditional, survey-based persona models or generic canned segmentation systems to gain an accurate view of their customers—based not on assumptions, but on real-world spending behavior. By combining each client’s first-party data with Wiland’s vast transactional spending dataset, MarketSignals Custom Personas create behaviorally rich, actionable audience segments across marketing channels.

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“MarketSignals Custom Personas give marketers the missing piece in their personalization and growth strategies,” said Mike Gingell, CEO of Wiland. “Our clients want more than just insights—they want segmentation they can actually use. By grounding personas in real purchase behavior, we’re helping them find the right prospects, keep their best customers, and grow their business with precision.”

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MarketSignals Custom Personas are designed to be easily integrated into marketing strategies across industries, offering:

  • Tailored personas based on actual spending behavior
  • Appended persona data directly to the client’s customer file
  • Use of personas for personalization, retention, and acquisition
  • Expansion audiences for prospecting across digital platforms

MarketSignals Custom Personas offer businesses and nonprofits across industries a smarter path to segmentation—bridging strategy with real-world execution at scale.

“Don’t settle for generic segmentation that gives you mediocre results in your marketing efforts. Our MarketSignals Custom Personas are built specifically for you and provide unmatched performance,” said Gingell.

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Quantiphi Granted Patent for Dociphi’s AI-Powered Three-Way Comparison Screen, Marking Breakthrough in Enterprise Document Intelligence

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Quantiphi Granted Patent for Dociphi's AI-Powered Three-Way Comparison Screen, Marking Breakthrough in Enterprise Document Intelligence

Quantiphi, an award-winning AI-first digital engineering company, has been granted a patent by the United States Patent and Trademark Office (USPTO) for the AI-driven three-way document comparison capability embedded within Dociphi, Quantiphi’s generative AI-powered intelligent document management platform.

The patented capability, titled “Validation system and method for concurrent visual validation of two or more electronic documents,” powers Dociphi’s Comparison Screen, a feature that intelligently compares extracted entities across multiple versions of any document type and offers smart recommendations, enabling users to view all input documents on one side and an AI-generated comparison on the other, instantly locate where each value appears within its contextual location on the original file and resolve discrepancies through a secure Human-in-the-Loop (HITL) workflow. This capability is particularly valuable for insurance workflows such as quote comparison, policy review and discrepancy detection in claims, where accuracy and version control directly influence operational speed and customer experience.

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“Receiving this patent is a testament to the sophistication and depth of Dociphi’s core AI architecture,” Quantiphi Product Owner of Dociphi Arunima Gautam said. “The comparison screen is designed to handle the real-world variability of enterprise documents. It surfaces differences across versions and shows exactly where every value appears in its contextual location. Combined with dynamic HITL and continuous learning, Dociphi delivers unmatched transparency, control and accuracy for mission-critical processes across insurance and financial services.”

“This patent reinforces Dociphi’s position as a foundational platform for enterprise-wide document automation,” Quantiphi Global Head of BFSI Srikant Venkatesh said. “For insurers and financial institutions, it translates into faster turnaround times, reduced cost of operations, fewer downstream errors and significantly improved compliance. Whether it’s underwriting intake, claims adjudication, bordereaux processing or regulatory reporting, Dociphi’s comparison capabilities bring consistency, audit readiness and scalability across the entire document ecosystem.”

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The patent grant further strengthens Dociphi’s position as an advanced, template-free, AI-powered platform built to manage document variability at scale, delivering consistent, high-accuracy outputs while continuously improving through user-driven learning loops.

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MahaloHub Launches the Predictive Resonance Score™, the First Video-Based Metric to Predict Creative Performance Before Launch

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MahaloHub Launches the Predictive Resonance Score™, the First Video-Based Metric to Predict Creative Performance Before Launch

In an industry where 70% of CMOs lack confidence in creative performance before launch, MahaloHub introduced the Predictive Resonance Score™ (PRS), a new AI-powered metric that helps marketing teams understand how strongly a message or concept will resonate with its audience before investing in production or media.

PRS is built into MahaloHub’s Clarity platform and gives marketers a fast, cost-efficient way to identify which content is most likely to land, without the expense and delays that come with traditional focus groups or research studies.

Using short video or audio reactions, PRS analyzes real human responses and delivers a single score that reflects how deeply content connects across emotional impact, clarity, trust, and likelihood to share. The platform then provides specific, actionable recommendations to revise messaging to increase the PRS score and maximize audience connection.

Replacing “We Think” With “We Know”

Global research shows brands lose up to $245 billion each year on advertising that fails to capture attention or drive resonance [Source: Kantar/WARC]. PRS gives marketers access to validated, pre-market insight that increases confidence in campaign decisions, protects marketing investment, and accelerates ROI.

“Creative decisions used to be driven by intuition: ‘we think this will work,'” said Patrick Rooney, Founder & CEO of MahaloHub. “The Predictive Resonance Score gives teams an independent, third-party resource to more accurately understand how people react to their message – before they launch, commit budget, or lose the chance to adjust. That’s the difference between launching campaigns with the confidence they’ll be successful, versus hoping they will.”

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A Single Score Designed for Decision-Making

PRS evaluates facial expressions, vocal tone, emotional signals, and language patterns to measure how strongly a message connects, and why. Instead of asking audiences how they feel, PRS measures how they respond, making it a fast and scalable alternative to slow, expensive qualitative research.

PRS analyzes video responses across six scientifically validated dimensions, each grounded in behavioral research:

  • Cognitive Resonance – Message clarity and processing ease
  • Emotional Intensity – Depth of emotional response
  • Authenticity & Trust – Credibility and believability
  • Intent to Amplify – Likelihood to share or recommend
  • Engagement & Interest – Attention capture and hold
  • Emotional Valence – Direction of emotional response

The result is a single 0-100 composite score that predicts resonance, with dimension-level diagnostics showing exactly where to optimize.

Unlike text-based surveys, PRS uses multimodal AI to analyze what people say, how they say it (vocal tone, energy, hesitation), and how they show it (facial expressions, gestures, engagement cues).

Teams can compare creative concepts, prioritize messaging, and benchmark performance across audiences and campaigns. Diagnostic sub-scores highlight opportunities to strengthen tone, simplify language, or improve emotional impact.

Built for Speed, Scale, and A/B Insight

The Predictive Resonance Score™ replaces slow focus groups, synthetic panels, and text-only sentiment tools with video-based quick insight from real respondents. Using multimodal AI models, PRS interprets visual, vocal, and linguistic signals and provides actionable recommendations on tone, clarity, narrative, and emotional appeal.

Teams can run side-by-side comparisons of:

  • Message variations
  • Creative directions or cuts
  • Headlines and hooks
  • Employer branding and EVP statements
  • PR, crisis, and executive communication
  • Product marketing positioning

“Surveys tell you what people say. The Predictive Resonance Score™ shows how they react,” Rooney said. “That is the difference between guessing and knowing.”

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A Competitive Edge for Agencies and Brands

MahaloHub designed PRS to give both brands and agencies measurable pre-launch clarity.

For brands:

  • Validate messaging before investing in production
  • Reduce wasted media and content spend
  • Align creative direction with stakeholders
  • Accelerate time-to-market with insight in hours

For agencies:

  • Win pitches with data-backed creative concepts
  • Differentiate with measurable predictions
  • Monetize pre-market insight services
  • Strengthen client trust with validated data

Use Cases Across Marketing and Communications

  • Message testing and validation
  • Creative concept refinement
  • Go-to-market narrative testing
  • Crisis and corporate communication testing
  • Employer brand and EVP development
  • Culture and recruitment content optimization

Setting a New Standard for Creative Confidence

PRS gives marketing and communications teams a measurable way to understand how likely it is messages will connect with target audiences before going live, a capability that has never existed at scale.

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Dialpad Launches Real-Time AI in Japan

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Dialpad Launches Real-Time AI in Japan

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Partnership brings Dialpad’s real-time AI voice intelligence and contact center capabilities to Japanese enterprises

Dialpad, the leading AI-powered business communications and agentic platform, announced the launch of its full suite of real-time AI capabilities in Japan.

Japan is one of Dialpad’s fastest growing markets. Offering these AI capabilities free for the first three months is our way of helping every team experience the future of work.

Beginning , all Japanese customers will be able to access Dialpad’s advanced AI features at no additional cost through April 2026.

This launch includes real-time Japanese transcription, AI Recaps that include summaries with automatic action items, and real-time coaching features to assist sales and support teams with customer interaction – all built on Dialpad’s proprietary in-house models designed specifically for business communication.

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Setting a New Standard for AI in Japan

Japan presents one of the world’s most complex environments for speech recognition, requiring deep sensitivity to linguistic context, honorifics, and business communication nuance. Dialpad’s AI models – built in-house and trained on real conversation – deliver unmatched accuracy, speed, and security for Japanese users.

Through its partnership with SoftBank, Dialpad will accelerate the adoption of these AI tools across enterprises, SMBs, and support teams throughout Japan.

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“Japan is one of our fastest‑growing markets,” said Craig Walker, CEO and Co‑Founder of Dialpad. “By combining SoftBank’s reach with Dialpad’s AI‑native platform, we’re enabling a new era of productivity and clarity for Japanese businesses. Offering these AI capabilities free for the first three months is our way of helping every team experience the future of work, starting .”

“We are proud to partner with Dialpad to bring next‑generation AI communication tools to businesses across Japan,” said Yasuaki Miyamoto, VP, Enterprise Product at SoftBank Corp. “Dialpad’s in-house AI is a natural complement to SoftBank’s commitment to digital transformation, and together we will help Japanese organizations work smarter, faster, and more securely.”

“With Dialpad’s in-house AI, customers can reduce the time and effort required for after-call work such as visualizing conversations, generating summaries, and creating meeting notes,” said Takeshi Otsuki, Japan Country Manager, Dialpad. “Going forward, Dialpad will continue to leverage AI technology to deliver more effective and efficient business communications.”

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Lounge Lizard Worldwide and Contentful Form Strategic Partnership to Power Enterprise Website Design and Web Development

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Lounge Lizard Worldwide and Contentful Form Strategic Partnership to Power Enterprise Website Design and Web Development

Lounge Lizard Worldwide Agency Reviews (2026) | Digital Agency Network

Lounge Lizard Worldwide Inc., a top-rated web design and digital marketing agency, driving results-driven ROI since 1998, is proud to announce a strategic partnership with Contentful, a leading Headless CMS and Composable Digital Experience Platform (DXP) trusted by more than 4,000 organizations worldwide.

Leveraging experience with Contenful projects for Blue Foundry Bank and Graybar Electric, Lounge Lizard and Contentful have increased their focus on partnering and providing services for enterprise-level corporations.

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Frank Falco, VP of Sales and Operations, notes, “We are excited about the increased partnership with Contentful, especially around the Contentful Personalization offering. It is a game-changer, honestly, for personalized content delivery, localization, and regionalization. It also includes A/B testing within the Contentful CMS, monitoring statistics, and the ability to publish the best results out of the box.”

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Lounge Lizard has been instrumental in building localized and regionalized content websites for years, but it required a suite of applications, technology, and custom coding.

“Contentful locates all of this functionality within the CMS and empowers our clients to easily customize as their needs grow,” continues Falco.

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JWX Acquires Aug X Labs, Giving Publishers a Gen AI Tool to Transform Existing Content Into Multi-Platform Experiences

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JWX Acquires Aug X Labs, Giving Publishers a Gen AI Tool to Transform Existing Content Into Multi-Platform Experiences

JWX_logo

AI content production technology expands JWX’s platform to help publishers transform content for distribution, engagement, and monetization across platforms

JWX, the technology company that empowers media businesses to connect their content with consumers across every platform, announced it has acquired Aug X Labs, the startup behind Augie Studio, the all-in-one AI-assisted Commercial Video Studio.

The acquisition supports JWX’s vision to expand its publisher platform beyond video infrastructure; to help media companies transform existing content into multi-format experiences, to distribute that content efficiently across fragmented platforms, to drive deeper audience engagement, and unlock incremental monetization opportunities.

Augie strengthens our publisher platform by enabling media companies to transform existing content into multi-format experiences optimized for modern distribution, engagement, and monetization. ”

— JWX CEO John Nardone

Augie Studio will now be incorporated into JWX Studio, adding an LLM-powered content transformation layer to an existing product suite that helps publishers extend the value of their content while improving operational efficiency across teams. Through the Augie Studio technology, publishers can use existing content to generate video, audio, and other multi-format experiences, with additional formats like interactive content, games, and quizzes introduced over time as part of JWX Studio’s broader platform roadmap.

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With this new offering, JWX further bolsters its position as a publisher platform designed to help media companies extend content value, improve operational efficiency, and unlock monetization opportunities at scale.

“Publishers are under increasing pressure to extend the value of their content across more platforms while driving sustainable revenue,” said JWX CEO John Nardone. “Augie strengthens our publisher platform by enabling media companies to transform existing content into multi-format experiences optimized for modern distribution, engagement, and monetization. This acquisition is part of JWX’s broader mission to help publishers operate more efficiently and compete in an increasingly fragmented ecosystem.”

All Aug X Labs employees will now join JWX. CEO and co-founder Jeremy Toeman will take on the role of SVP of AI Innovation. With past leadership roles at media companies including WarnerMedia, Etsy, CBS Interactive, and Sling Media, Toeman is uniquely positioned to spearhead JWX Studio’s production services team and AI-first products.

Meanwhile, Augie CPO and co-founder JT White will assume the role of VP, Head of Content Studio. Aug X Labs was founded in January 2022. Terms of the deal are not being disclosed.

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With publishers facing immense pressure to drive revenue, JWX Studio allows editorial and social teams to quickly and easily generate additional content, regardless of their experience or skill set. The addition of Augie Studio’s capabilities lets teams transform existing content assets, such as articles, podcasts, and long-form videos, into scalable, platform-ready formats designed for modern distribution and monetization.

“In publishing, momentum comes from the right partnerships,” said Toeman. “Augie was built to help publishers move faster and unlock more value from their content, and joining forces with JWX accelerates that mission in a meaningful way. After a career building transformational media products, I’m very excited about this partnership and the opportunity to combine a future-focused platform designed for what publishers need next in an AI-first content world.”

As part of the acquisition, Augie will sunset its direct-to-consumer product and now focus exclusively on serving enterprise clients with enhanced features and dedicated support.

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LiveDeskCal Adds Cloud Sync and CRM Integrations to Its Always-Visible Windows Desktop Calendar Widget

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LiveDeskCal Adds Cloud Sync and CRM Integrations to Its Always-Visible Windows Desktop Calendar Widget

LiveDeskCal

New Lite and Pro options bring Google Calendar, Outlook Online, and CRM scheduling to an always-on-top desktop calendar—without living in a browser tab.

LiveDeskCal, the lightweight desktop calendar widget for Windows 11, announced expanded options for users who want their schedule visible while they work—whether they prefer an offline desktop calendar or need Google Calendar and Outlook syncing directly on the Windows desktop.

Designed to reduce context-switching, LiveDeskCal places an always-visible calendar on the desktop where users can review upcoming events, add appointments, set reminders, and organize schedules with color-coded categories—without keeping a browser window open all day.

Three Versions to Match How People Schedule on Windows

LiveDeskCal is available in three tiers, built for common scheduling needs—from private offline planning to cloud and CRM workflows:

LiveDeskCal Free — A no-cost, offline desktop calendar for Windows users who want local events, categories, and alarms with no account required.

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LiveDeskCal Lite ($4.95 one-time) — Adds two-way sync with Google Calendar and Outlook Online / Office 365, plus auto-refresh and background syncing for an always-updated desktop calendar view.

LiveDeskCal Pro ($9.95 one-time) — Adds CRM calendar integration and expanded syncing for teams and professionals who schedule in tools like Act!, GoldMine, monday.com, and more.

Built for Focus: A Windows 11 Calendar Widget That Stays Out of Your Way

LiveDeskCal’s design emphasizes quick visibility and control. Users can keep the widget always on top, use reminders and alarms to avoid missed meetings, and scan busy weeks faster with category colors—while matching modern Windows themes, including dark mode.

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Key Features Include:

Always-visible desktop calendar widget for Windows 10 and Windows 11
Create, edit, and manage events directly from the desktop
Custom alarms, reminders, and color-coded categories
Google Calendar on desktop and Outlook calendar widget syncing (Lite/Pro)
CRM scheduling visibility and unified calendar workflows (Pro)

“LiveDeskCal is the calendar Windows users didn’t know they were missing. We designed it to feel natural on the desktop—staying out of your way until you need it.” — Thomas M, Product Manager

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MongoDB Sets a New Standard for Retrieval Accuracy with Voyage 4 Models for Production-Ready AI Applications

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MongoDB Sets a New Standard for Retrieval Accuracy with Voyage 4 Models for Production-Ready AI Applications

Tavily and TinyFish among customers using MongoDB to build and scale AI-powered features and workloads.

MongoDB, Inc. announced an industry-first expansion of its AI capabilities at MongoDB.local San Francisco, bringing together its core database with Voyage AI’s world-class embedding and reranking models to deliver a unified data intelligence layer for production AI. By integrating these models directly into MongoDB’s platform infrastructure, developers can now build and operate sophisticated applications at scale with reduced risk of hallucinations, without the need to move or duplicate data.

To support developers moving AI applications into production, MongoDB introduced a set of new AI capabilities designed to simplify how intelligent applications are built and operated. The company unveiled five embedding models from Voyage AI, MongoDB’s embedding and retrieval model suite, Automated Embedding for MongoDB Community Vector Search, embedding and reranking AI model APIs in Atlas, and an AI-powered data operations assistant for MongoDB Compass and Atlas Data Explorer. These capabilities strengthen MongoDB’s position as the leading AI-ready data platform, trusted by more than 60,000 customers running mission-critical workloads. Voyage AI models are available through MongoDB Atlas via API, integrated with MongoDB Community through managed Automated Embedding, and remain fully available as a standalone platform independent of MongoDB.

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“The biggest challenge customers face with AI isn’t experimentation, it’s operating reliably at scale,” said Fred Roma, Senior Vice President of Product and Engineering at MongoDB. “Developers want fewer moving parts and clearer paths from prototype to production. With today’s launches, MongoDB is raising the bar, helping teams reduce complexity and focus on building AI applications that perform in real-world, mission-critical environments.”

Transforming data into AI intelligence
As projects move into production, many organizations are discovering that their existing data stacks were never designed to support context-aware, retrieval-intensive workloads at scale. Developers are left managing fragmented combinations of operational databases, vector stores, and model APIs, which introduces complexity, latency, and operational risk at the exact moment speed and reliability matter most. This fragmentation has become a primary barrier to AI innovations, translating into real customer-facing impact.

MongoDB addresses this by unifying the core capabilities needed to build and run AI applications in production in a single data platform. Instead of stitching together an operational database, a vector store, and multiple pipelines, teams can keep operational data and retrieval capabilities together, reducing latency and synchronization overhead. The result is a simpler architecture, faster iteration, and AI applications that are built to run reliably in production, not just in demos. New capabilities include:

  • State-of-the-art accuracy with models from Voyage AI: The general availability of the new Voyage 4 series continues giving developers high performing embedding models—which outperform Gemini and Cohere on the public RTEB leaderboard—for more accurate retrieval at lower cost. The Voyage 4 series includes the general-purpose voyage-4 embedding model, which strikes a balance between retrieval accuracy, cost, and latency, the flagship voyage-4-large model for the highest retrieval accuracy, voyage-4-lite for optimized latency and cost, and an open-weights voyage-4-nano for local development and testing, or on-device applications.
  • Facilitated context extraction from video, images, and text: The general availability of the new voyage-multimodal-3.5 model expands support for interleaved text and images to now include video. Voyage AI’s voyage-multimodal-3 was the first production-grade embedding model to handle interleaved text and images, voyage-multimodal-3.5 advances this unified processing approach, more effectively vectorizing multimodal data together to best capture key semantic meaning from tables, graphics, figures, slides, PDFs, and more. This helps developers eliminate the significant effort required for complex document parsing, which can reduce retrieval accuracy and lead to less trustworthy applications.
  • Automated Embedding for MongoDB Vector Search: Automatically generate and store high-fidelity embeddings using Voyage AI whenever data is inserted, updated, or queried. By handling embedding generation natively within the database, MongoDB removes the need for separate embedding pipelines or external model services. Embeddings stay fresh as data changes, helping retrieval to remain accurate and AI applications to maintain reliable context. The result is a simpler architecture with fewer moving parts, making it easier for teams to build and run AI-enabled applications in production. Automated Embedding is available in public preview with support in our drivers (e.g. Javascript, Python, Java, etc) and AI Frameworks like LangChain and LangGraph (Python). Available today for MongoDB Community, and coming soon on MongoDB Atlas.

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“We were looking for extremely accurate embedding models, and Voyage AI provided accuracy at scale,” says Sudheesh Nair, Cofounder and CEO of TinyFish. “The Python APIs that Voyage comes out of the box with are also extremely lightweight and very fast.”

“Today, companies need to move extremely fast, and at very lean startups, you need to only focus on what you are building,” said Rotem Weiss, CEO of Tavily. “MongoDB allows us to focus on what matters most, our customers and our business.”

For the first time, developers can build and run AI applications with operational data, semantic understanding, and retrieval in a single system. MongoDB’s Atlas Embedding and Reranking API exposes Voyage AI models natively within Atlas, allowing teams to ship AI features with enterprise-grade security, performance, and reliability infrastructure. An intelligent assistant for MongoDB Compass and Atlas Data Explorer is now generally available, delivering natural-language, AI-powered assistance for everyday data operations, such as query optimization. MongoDB also introduced a new AI skills certification to help teams scale data strategies, accelerate time to market, and reduce costs–the first in a broader set of AI skill offerings planned this year.

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Buzz Dealer Introduces the ‘GEO-First’ Framework: A New Standard for Digital Brand Authority

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Buzz Dealer Introduces the 'GEO-First' Framework: A New Standard for Digital Brand Authority

As AI engines increasingly become the primary channel for search and discovery, Buzz Dealer is setting a new industry benchmark by launching its ‘GEO-First’ Framework. This strategy helps businesses master generative engine optimization (GEO) to ensure they remain the top recommendation in AI-generated answers.

This new initiative builds on the agency’s recent announcement regarding specialized AI optimization services. The approach provides a clear roadmap for brands to move beyond traditional keywords and focus on becoming a trusted source for LLMs. The GEO-First Framework is built around two pillars that define how brands win trust in AI environments:

Generative Engine Discoverability: Moving beyond SEO rankings, GEO Discoverability ensures brands are included in the answers AI engines generate. Rather than optimizing for keywords alone, the framework aligns topical authority so generative systems like ChatGPT and Gemini can accurately present a brand’s value within AI responses.

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Generative Engine Sentiment: Visibility without trust fails to convert. GEO Sentiment ensures that when AI engines recommend a brand, they do it confidently without negative qualifiers or outdated info. By monitoring how AI describes a brand and correcting sentiment drift, the framework protects credibility at the consideration stage.

Together, these pillars ensure brands are positioned as authoritative choices when it matters most.

“We are entering a time where your brand’s reputation isn’t just what you tell customers, but what an AI tells them about you,” said Uri Samet, CEO of Buzz Dealer. “Our GEO-First Framework is about giving businesses control. We’ve designed this so that when a customer asks an AI for a recommendation, our clients are included in the authoritative answer.”

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By prioritizing these signals and utilizing digital PR, Buzz Dealer helps brands in industries like finance and tech stay ahead. The agency’s approach ensures that as search habits shift, clients don’t just survive change, they lead it.

The GEO-First Framework is the foundation of Buzz Dealer’s Organic Traffic Optimization. By introducing GEO as a service, Buzz Dealer offers a tangible way for companies to protect their image and grow in the AI-driven market in 2026.

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ITG’s Storyteq adds Adobe Firefly Services to its suite of AI tools

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ITG's Storyteq adds Adobe Firefly Services to its suite of AI tools

Inspired Thinking Group (ITG) has announced it will integrate Adobe Firefly’s generative AI capabilities into its Storyteq CMP content marketing platform.

Firefly Services enhances Storyteq’s existing AI capabilities, giving users seamless access to Adobe’s creative and generative AI models.

ITG CEO Andrew Swinand comments, “As Storyteq becomes a foundational backbone to enable AI content management and automation, this integration with Adobe allows Storyteq users to incorporate Firefly Services’ generative AI capabilities and models to deliver a seamless experience.

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“Adobe’s acknowledged strength in generative AI gives Storyteq users another great tool out of the box to help create better content faster, more cost-effectively and at scale.”

ITG’s proprietary Halo Intelligence will be paired with Adobe Firefly’s generative AI and creative capabilities to help suggest the most effective content to engage customers with AI data analysis.

Says Swinand, “Pairing Halo Intelligence with gen AI models such as Firefly means users are not only able to create more content for less but also create content that is optimized and personalized to every customer interaction.”

Adobe Firefly Services will enhance ITG’s global creative services as well as Storyteq, and the integration of ITG’s AI with Firefly will help drive efficiencies across areas such as content briefing, workflows, approvals and compliance.

Storyteq is frequently praised for its AI approach. Last year, Gartner remarked that, “ITG’s AI solutions lead the market,” and Storyteq is, “uniquely powering the full content lifecycle.”

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Gartner has named Storyteq a market leader in content marketing platforms (CMP), as well as DAM for its enterprise asset management capabilities.

ITG is the leading, AI-enabled Halo content partner to businesses around the world. It eliminates marketing complexity and delivers engaging content at speed and scale to drive business growth and reduce marketing costs. Clients include Heineken, Microsoft, Samsung, Haleon, KFC and more. ITG employs over 2,000 people throughout its global offices; ITG is part of the Bridgepoint portfolio of companies.

Storyteq is ITG’s market-leading AI-enabled Content Marketing Platform and Enterprise DAM. It unifies marketing operations and drives efficiencies across every stage of the content journey, enabling marketers to create more and better content for less. Storyteq’s Enterprise solution is configurable to every enterprise’s unique way of working, no matter how complex the operation, number of brands or regions in which it operates. It is also available as a preconfigured Storyteq Professional product.

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Go Beyond the Rules: Turn Customer Privacy Into Your Advantage

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Go Beyond the Rules: Turn Customer Privacy Into Your Advantage

Most companies see customer privacy as a chore. It is a set of legal rules you have to follow to avoid fines. This view treats privacy as a problem to be managed. There is a much better way to think about it. In a world where people are sceptical about their data, earning their trust is a huge opportunity.

Your customers are smarter and more careful than ever. They know their personal information is valuable. They are choosing to do business with brands that show deep respect for their data. It is time to change your approach. You can transform privacy from a legal headache into a powerful way to build strong customer relationships and get an edge over your competition through privacy-first marketing.

The Changing Definition of Trust

For a long time, people accepted a basic trade online. You got free services, and companies got your data to show you ads. That agreement is now breaking down. People are tired of hearing about data breaches and feeling like they are being tracked everywhere. They are starting to demand more transparency and control.

Following the privacy laws is the absolute bare minimum. Customers expect you to do that. Real success comes from actively protecting their interests. When you show customers you are serious about protecting their information, you start to earn their confidence. That confidence is the foundation of customer loyalty.

Make Privacy a Core Feature

You should treat privacy like a key feature of your product. Think about the safety features in a car. You expect things like airbags and good brakes. They are not optional extras; they are part of what makes you feel safe. A great privacy promise should work the same way. It builds confidence and makes people feel good about choosing you. This is the goal of privacy-first marketing.

This mindset moves privacy from a legal concern to the heart of your business strategy. Instead of burying privacy options deep in a settings menu, you should highlight them. Make your commitment to protecting data a visible part of your brand. When people feel safe, they are more likely to share information with you, creating a healthy cycle of trust.

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The Technology That Powers Trust

The right technology makes your privacy promises real. A true privacy-first marketing strategy relies on systems built to protect people while helping you understand your customers in a respectful way.

  • Privacy Enhancing Technologies (PETs):

These are tools that let you analyse customer information for trends without ever looking at any single person’s private, identifiable data.

  • Personal Data Vaults:

You can give each customer their own secure digital locker for their information. They hold the key and grant you permission to use it.

  • First-Party Data Systems:

These are systems designed to ethically use the information customers give you directly to make their experience with your brand much better.

  • Data Clean Rooms:

This is a secure, neutral space where you and a partner can compare audience insights without either side having to share private customer lists.

Putting Your Customers in Control

A privacy dashboard is a perfect way to demonstrate your commitment to transparency. It is a single, easy-to-find place where people can manage their relationship with your company.

  • Let them clearly see all the information you have about them.
  • Give them simple buttons to correct or completely delete their data.
  • Provide easy options to control what marketing messages they receive.
  • Show a clear history of how their information has been used.
  • Allow them to manage all the data permissions they have given you.

A New Relationship with Customer Data

Privacy-first marketing requires a new way of thinking. You need to shift from a mindset of data collection to one of data collaboration. The goal is no longer to grab as much information as possible. The focus is to build an open and honest partnership. You should clearly explain what information you need and the value the customer gets in return. This straightforward exchange builds respect and encourages people to trust you with their data.

Calculating the Real Payoff from Trust

The rewards for earning customer trust through privacy-first marketing are very real. These benefits show up in your business performance and can be measured in a few key areas.

  • You can track the increase in how much a customer spends over time.
  • You can measure the drop in how many customers leave your service.
  • You can analyse higher open and click rates in your marketing campaigns.
  • You can watch the steady growth of your own first-party data.

Winning in a World Without Cookies

The online world is changing. An era of tracking people with third-party cookies is coming to a close. Those companies that will make it in this new world are the companies that will actually have people trust them. That trust, created by being proactive about privacy and giving customers control is the firmest foundation there is for growth. By introducing privacy-first marketing as a core part of your business, you’re setting your business up for success.

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Cloudflare Strengthens Content Offering to AI Companies with Acquisition of Human Native

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Cloudflare Strengthens Content Offering to AI Companies with Acquisition of Human Native

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Acquisition will help create a new business model for the Internet by transforming original content into high-quality, AI-ready data and facilitating transparent value exchange in the AI era

Cloudflare, Inc., the leading connectivity cloud company, announced it has acquired Human Native, an AI data marketplace that connects creators and AI developers. The acquisition will make it easier and faster for AI developers to discover and access the content they need, and in turn help creators and publishers optimize how their data can be surfaced to AI companies willing to pay. With the expertise from the Human Native team, Cloudflare will accelerate the build out of its vision for the AI-driven Internet economy, empowering creators to turn their existing content into indexable, valuable data as well as to effectively price and monetize it.

The success of the AI industry relies heavily on access to high-quality content for training and inference. This poses a critical decision for content owners, who now need to determine their own AI strategies amidst the demand for their data – by blocking their content entirely; optimizing their content specifically for AI; or offering their content for purchase for a fair price that reflects its value to AI users and society. Cloudflare is committed to providing creators with the tools that support all of these options. Specifically, Human Native will help Cloudflare build the tools needed to prepare content so that AI developers can find, access, and purchase reliable high-quality data through fair and transparent channels.

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“Content creators deserve full control over their work, whether they want to write for humans or optimize for AI,” said Matthew Prince, co-founder & CEO of Cloudflare. “Last year we gave publishers and creators the tools to control which bots can access their content, but the real goal has always been to help create a new economic model that actually works for the next phase of the Internet. The Human Native team will help us accelerate the next phase, where we build the tools that allow content to be discovered, priced, and purchased through transparent channels. This acquisition is about building the tools needed to protect the longevity of the open Internet.”

Founded in 2024 and backed by top UK venture capitalists LocalGlobe and Mercuri, Human Native built its mission around fostering a more equitable and transparent relationship between content creators and AI companies. The team brings deep expertise from across the tech and media world, including veterans from companies like DeepMind, Google, Figma, and Bloomberg, that will help Cloudflare deliver tools that enable creators to structure their content for fair, simple, and streamlined AI consumption.

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“We started Human Native with the goal of getting Generative AI out of its Napster era. We believe that creators should have control, compensation and credit when their work is used to power AI products, ensuring equitable compensation for rights holders while enabling responsible AI development,” said Dr. James Smith, co-founder & CEO of Human Native. “Our discussions with Cloudflare, from Matthew to the entire team, have shown us that our values could not be more aligned, we believe in the same mission and together we will have the opportunity to deliver solutions at Internet scale.

“High quality data is the key that unlocks real differentiation in AI,” said Ziv Reichert, partner at LocalGlobe. “James and Jack Galilee have built the infrastructure that enables AI teams to discover and access valuable data across the internet, while allowing data owners to surface, price, and monetize it seamlessly. We’re incredibly excited to see them continue this mission with Cloudflare.”

“At Mercuri, we invest at the intersection of media and AI, and Human Native has embodied this thesis from the outset,” said Alan Hudson, Founding General Partner, Mercuri. “When we first invested two years ago, we believed there was a clear need to reward creators fairly for their data and to enable AI to progress with high-quality, ethically sourced data. Our conviction around these principles have only grown stronger in market. We are now excited to see how the Human Native team continues on this mission in partnership with Cloudflare.”

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Box Announces General Availability of Box Extract to Transform Enterprise Content into Actionable Data

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Box Announces General Availability of Box Extract to Transform Enterprise Content into Actionable Data

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Powered by leading AI models, Box Extract enables enterprises to automate content-driven workflows, accelerate decision-making, and unlock insights from unstructured content

Box, Inc., the leading Intelligent Content Management (ICM) platform, announced the general availability of Box Extract. Powered by leading generative AI models from companies like Google, Anthropic, and OpenAI, and combined with advanced agentic capabilities, Box Extract enables enterprises to intelligently and securely pull the most valuable information from content and save it as metadata in Box. With Box Extract, it is now easier than ever for enterprises to automate workflows, accelerate decision-making, and power faster access to information and insights.

Box announces general availability of Box Extract to transform enterprise content into actionable data.

“Enterprises are sitting on a gold mine of data in their untapped content,” said Aaron Levie, co-founder and CEO of Box. “With Box Extract, that information is now unlocked and can transform how businesses analyze information and make decisions. By turning unstructured content into structured, usable data, organizations can deliver real-world impact by having their content actively work for them across their most important lines of business.”

“In the financial services industry, we work with highly sensitive data that demands the highest levels of security,” said Geoff Moore, CIO at Valmark Financial Group. “Box Extract pairs enterprise-grade security controls with the deep subject matter expertise of our employees to extract data from unstructured sources and transform it into actionable insights securely. By mining information from sources such as account forms, insurance illustrations, and commission statements, we’ve achieved exceptional gains in both efficiency and accuracy.”

“Every day, we process vast amounts of unstructured documents that are critical to serving Texans efficiently,” said Wendy Barron, CIO at Texas Department of Motor Vehicles. “With Box AI, we’re now able to automatically extract key information from forms and records, reduce manual review, and accelerate our workflows, all while maintaining the security and compliance standards required of a public agency. Implementing modern AI tools has helped our team focus less on paperwork and more on delivering timely services to the public.”

Available : Box Extract

Organizational knowledge resides in the collection of contracts, product specifications, policy documents, charts, and other forms of unstructured content involved in day-to-day business operations. This content provides the critical context AI models and agents require to unlock meaningful business value. Until recently, attempts to harness insights from unstructured data relied on manual processes or legacy tools that were expensive to maintain and impractical to scale. Box Extract addresses these challenges by combining the latest AI models from Google, Anthropic, and OpenAI, with advanced agentic capabilities to deliver accurate extraction from complex documents.

Unlike legacy tools, which focus on simply extracting text, Box’s agentic approach enables Box Extract to understand document structure and meaning, break it down into components, such as paragraphs, tables, or charts, and then pull out the most important information. Additionally, teams can create custom Extract Agents tailored to their business needs and deploy them securely at scale across a wide range of content. These Box Extract Agents give customers the flexibility to store structured data alongside unstructured content as custom metadata, which can also be exported or synced to other systems such as Databricks and Snowflake.

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The information pulled out by Box Extract is stored alongside content on Box, and enables enterprises to:

  • Quickly make decisions using metadata-powered dashboards and views within Box Apps;
  • Automate workflows end-to-end on Box with Box Relay, and with Box Automate in the future;
  • Streamline content discovery and faster search for every Box user;
  • Surface and extend usage of metadata into 3rd party and custom applications.

Leveraging the power of Box Extract:

  • Financial services firms can use Box Extract for loan origination, enabling the extraction of due dates and loan terms to accelerate payments, reconciliation, and loan servicing;
  • Government and public sector agencies can use Box Extract on permits, public records, grants, contracts, and benefits documents to extract important details like permit types, fees, and inspection dates, streamlining compliance and accelerating service delivery across departments;
  • Media and entertainment teams can use Box Extract to automatically extract details including titles, writers, versions, rights holders, and scene keywords, from production files and creative assets, including scripts, talent agreements, and client briefs to quickly search for specific scenes and efficiently manage digital assets.
  • Insurance carriers can use Box Extract to automatically extract critical information from accident reports and hospital bills, and apply it as metadata in Box, helping investigators move faster, reduce manual review, and accelerate claim creation;
  • Legal teams can use Box Extract to process long contracts and identify different language and clauses. Box Extract automatically captures key contract details, such as counterparty names, expiration dates, renewal terms, clauses, and obligation deadlines, and applies them as metadata, enabling enhanced contract management.

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“In market, the speed of your data drives business results. By integrating Google’s Gemini into Box Extract we’re helping customers instantly turn massive amounts of content into structured, actionable intelligence,” said Matt Renner, President and Chief Revenue Officer at Google Cloud. “Gemini’s power to process and understand complex, high-volume data allows customers to move beyond simple scanning to true workflow automation, dramatically speeding up critical processes like loan approvals and contract management.”

Box Extract Availability

The ability to create and manage custom Extract Agents with Box Extract is now available to Box customers through the Enterprise Advanced plan. Within the Box Extract offering, customers can choose between the Standard Extract Agent, which streamlines simple data capture for faster and more cost-efficient results, and the Enhanced Extract Agent, which takes dedicated steps based on multimodal document structure, delivers deeper reasoning, and can handle large, complex, or highly variable documents.

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Sprinklr Named Innovative Products Winner in the 2026 BIG Innovation Awards

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Sprinklr Named Innovative Products Winner in the 2026 BIG Innovation Awards

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Sprinklr , the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), has been named a winner in the Innovation Products Category of the 2026 BIG Innovation Awards, a global recognition program honoring companies, products, and leaders who are transforming industries through applied innovation, intelligent platforms, and measurable real-world impact. Sprinklr was recognized as an innovator in AI, specifically for Sprinklr’s AI agents purpose-built for customer experience.

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“This award underscores our commitment to building AI that is scalable, responsible, and results‑driven.” – Karthik Suri, Chief Product Officer at Sprinklr.

“The 2026 BIG Innovation Awards winners show that true innovation is no longer about chasing the latest buzzwords,” said Russ Fordyce, Chief Recognition Officer at the Business Intelligence Group. “It’s about building intelligent platforms, automating workflows with purpose, and making trust, privacy, and resilience the foundation of every breakthrough. These organizations and leaders are not just keeping pace with change, they are shaping the future of global business.”

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Sprinklr AI Agents bring autonomous, goal‑oriented intelligence directly into customer experience workflows. They are designed to observe, reason, and act across marketing, care, research, and commerce use cases and are currently helping enterprises operate faster, smarter, and with greater consistency at scale.

“AI is only transformative when it’s deeply connected to real business outcomes,” said Karthik Suri, Chief Product Officer at Sprinklr. “Powered by Sprinklr’s unified data foundation, rich customer context, and the ability to turn insights into action, Sprinklr AI Agents bring enterprise‑grade intelligence to every customer touchpoint. This award underscores our commitment to building AI that is scalable, responsible, and results‑driven.”

Sprinklr joins 159 winners recognized for their contributions to innovation across health, financial services, logistics, manufacturing, and enterprise technology. The 2026 BIG Innovation Awards winners reveal a clear trend: innovation is no longer about just having AI, it’s about how you use it. Winners are building platforms, automating workflows, and focusing on trust, privacy, and security as core to their mission.

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Emplifi Partners with Reddit to Fuel Actionable Industry Intelligence and Strategic Execution

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Emplifi Partners with Reddit to Fuel Actionable Industry Intelligence and Strategic Execution

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The collaboration integrates real-time Reddit data directly into Emplifi Fuel, transforming authentic community conversations into industry-specific tactics for Retail, CPG, Sports brands and beyond

Emplifi, a leading customer engagement and social media marketing platform, announced a strategic partnership with Reddit, home to the internet’s most authentic, human conversations. This collaboration integrates Reddit’s Enterprise API directly into the Emplifi ecosystem, positioning Reddit not just as a listening source, but as a key analytical signal for Emplifi Fuel—the platform’s intelligent execution engine. By analyzing high-intent community signals within Emplifi’s vertical Command Center, brands can now turn unfiltered consumer discussions into aggregated insights that inform specific, recommended objectives and tactics that drive measurable business outcomes.

This partnership turns the internet’s largest focus group into a driver for revenue and operational agility.

With more than 443 million weekly active unique visitors, Reddit’s 100,000+ active communities represent a massive, often untapped reservoir of consumer intent. Emplifi’s integration moves beyond passive monitoring, utilizing AI-powered analytics to analyze and synthesize aggregated conversation patterns and apply them into industry-specific workflows. This allows brands to move faster with confidence, adjusting their strategy and execution based on the genuine voice of the customer.

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Fueling Vertical Strategy with Authentic Intelligence

Through this partnership, Reddit data becomes a key component of Emplifi’s actionable knowledge and analytics layer, enabling brands to execute industry-specific tactics with greater precision:

  • Retail & eCommerce: Reddit surfaces raw, real-time feedback on delivery experiences, pricing sensitivity, and return policies. Emplifi Fuel analyzes these signals to inform Customer Experience (CX) playbooks, allowing teams to proactively address friction points and refine operational messaging before they impact retention.
  • Consumer Packaged Goods (CPG): In an industry driven by trends, Reddit reveals authentic sentiment regarding new product launches and influencer campaigns. Emplifi synthesizes these insights to refine content strategies and community tactics, helping brands capitalize on viral product use cases or mitigate negative sentiment during a launch.
  • Sports & Entertainment: Fan passion lives on Reddit. This integration allows teams to track real-time reactions to lineup decisions, game-day experiences, and merchandise drops. These insights directly shape fan engagement and support workflows, ensuring teams can capitalize on high-sentiment moments to drive ticket and merchandise sales.
  • All Brands: Reddit hosts communities discussing every category imaginable—from financial planning to beauty routines to travel hacks—making it a powerful intelligence source for any brand looking to understand real consumer motivations, test ideas, or react quickly to emerging sentiment.

“Commerce, care, and social are not end goals themselves; they are enablers. What really matters is managing the funnel to drive performance,” said Ohad Hecht, Chief Executive Officer at Emplifi. “By feeding Reddit’s authentic data into Emplifi Fuel, we are giving brands a distinct competitive advantage. We aren’t just showing them what people are saying; we are using AI-powered analysis to synthesize aggregated insights from that data into recommended actions within our vertical Command Center. This partnership turns the internet’s largest focus group into a driver for revenue and operational agility.”

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Emplifi + Reddit: Empowering Brands with Richer Insights and Unified Workflows

The partnership allows Emplifi customers to leverage secure access to Reddit’s data to:

  • Inform Strategy with AI-Powered Analytics: Utilize Emplifi’s AI-powered listening and summarization tools to detect and respond to viral moments and potential risks within Reddit communities hours or days before they surface elsewhere. Also use this intelligence to power insight-informed publishing and engagement workflows.
  • Unify Execution: Publish directly to Reddit through Emplifi’s unified social publishing workflows, allowing social teams to manage Reddit engagement alongside other channels within a single interface.
  • Accelerate Decision Making: Incorporate Reddit intelligence directly into the Emplifi Fuel Command Center, bridging the gap between strategic objectives and daily execution.

“Reddit is the most human place on the internet. It is where real conversations happen, shaping the decisions that influence markets,” said Jonathan Flesher, VP of Business Development & Partnerships, Reddit. “Emplifi understands that enterprise brands need to bridge the gap between listening and doing, and by partnering with Reddit, will have the ability to apply AI-powered analytics to analyze aggregated Reddit insights at scale.”

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