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Weblish Has Launched A New Platform Based Agency That Provides Free Website Development To Small Businesses.

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Weblish Has Launched A New Platform Based Agency That Provides Free Website Development To Small Businesses.

The all-inclusive subscription platform offers small businesses a website in addition to managed SEO, social media, email marketing, and reputation management.

The newly-founded digital marketing company for small business owners, Weblish, has announced the introduction of what it introduces as the “world’s first platform-based agency.” The company onboards the total execution capability of a full-service agency with the transparency of a subscription platform thus giving the start-ups a hassle-free website built by professionals + fully managed marketing, all without meetings, retainers, or complicated onboarding.

Targeting time-strapped founders and local business owners, Weblish supports users generate positive online reputation, generate more leads, and run online presence automatically from a single web-based dashboard.

As per Ali Asad Naqvi, who is the founder and CEO of Weblish, small business entrepreneurs are really drained by the non-stop ringing of the phone, the multi-layered proposals and the agency’s retainers that seem to go on endlessly. “Weblish got born to make things easier. You only need to subscribe, sign in, and once you go through the setup of the company profile, our platform and team will do the rest of the job in the background. ”

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Meetings and tools are not the requirements of small business owners. What they desire is the output. Hence, Weblish can give them a free website along with marketing under a single subscription.”

— Ali Asad Naqvi

Not Just Another Agency But A Platform

Discovery calls, strategy workshops, and lengthy email discussions are the mainstay for traditional agencies before actual work starts. Weblish, however, does not have any of that. It is a self-service online platform:

Customers easily access their Weblish account.
They can create and/or update their company profile.
They can monitor their performance and access reports.
They can also send change requests directly through the app.
That is all. No Zoom calls, no endless emails, and no long briefings. Everything is done through the platform, which allows the business owner to operate in his/her sector but not in marketing agency management.

Naqvi further elaborated, “We asked ourselves a very straightforward question, what if a small business owner can completely sidestep a marketing call, and still, attain better results? Weblish is our answer to it.”

Free Website as the Pathway to the Fully Managed Growth Engine

Weblish, in line with its launch, is running a free website offer for small businesses who want to subscribe to the platform. The free website turns into a gateway to a fully managed growth engine that entails:

Free Website Development
A modern, conversion-focused website designed and built at no extra cost, then updated over time.

SEO Management
Uninterrupted search engine optimization that seeks to help businesses rank in Google, capture high-intent traffic and grow organically.

Social Media Management
Provision of done-for-you content creation and posting on key social platforms to keep brands standing out and become more engaging.

Email Marketing
Regular newsletters and campaigns to nurture leads, re-engage past customers and increase lifetime value.

Website Management
The recurring updates, security, performance optimization, and content changes performed by Weblish instead of the business owner.

Online Reputation and Lead Management
The useful tools and process which allow businesses to increase customer trust, respond swifter, and click through visitors to a bigger proportion of paying customers.

This is all made possible by a simple subscription, rather than the long-term retainers that were traditionally in use.

Constructed for the New Wave of Small Business

Weblish has been designed specifically for small and mid-sized companies needing real marketing assistance but are unable to afford, prioritize or risk the manpower of handling a conventional agency deal. Target customers comprise the following:

Local service providers like awaiting units, beauty parlors, health and fitness centers, art centers, and marketing agencies

Home and field services such as plumbers, electricians, cleaners, and contractors

Professional services that include consultants, accountants, lawyers, and trainers

Other small businesses that wish to have more leads, enhanced online visibility, and a perfect reputation through Weblish without the need for hiring a team of their own.

“Being a small business owner should not require you to have a marketing degree in order to compete in the online market,” is what Naqvi said. “In fact, we need for them to have the very same quality and sophistication that big brands do , shared on a system as any modern SaaS product.”

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

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Hydrolix Launches CDN Insights to Deliver Real-Time Visibility Across Leading CDNs

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Hydrolix Launches CDN Insights to Deliver Real-Time Visibility Across Leading CDNs

Solution automates ingest of data from Akamai, Cloudflare, CloudFront, Tencent and Fastly, providing insights in seconds for rapid MTTR.

Hydrolix, the real time data platform that enables organizations to ingest, store, and analyze massive-scale digital operations and security data, announced CDN Insights, a purpose-built solution that provides real-time observability across multi-CDN environments. The new solution delivers observability insights into more than 65% of all video bits delivered by third-party vendors (CDNs) offering video delivery services.

CDN Insights expands Hydrolix support to the major CDNs and uniquely addresses the critical challenge service operators face in maintaining quality of experience when relying on multiple content delivery networks.

CDN Insights supports five CDN providers at launch, including Cloudflare, Tencent, Amazon CloudFront, Fastly and Akamai, enabling operators to ingest data from multiple CDNs, retain full-fidelity data, and access unified performance dashboards in just seconds with sub second query performance. The solution delivers real-time visibility into CDN health and root cause of issues, allowing teams to identify and resolve problems before they impact end users.

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“Service operators rely on CDNs for reliable content delivery, but they’re ultimately responsible for providing high quality of experience in the eyes of their users,” said Tony Falco, Chief Operating Officer at Hydrolix. “The challenge isn’t just collecting CDN data; it’s making sense of it fast enough to matter. Operators typically lack the technical expertise to design efficient data pipelines, create meaningful transforms, or build analytics dashboards from scratch. They work with multiple CDNs, each with different data formats and schemas, making unified visibility nearly impossible. CDN Insights solves these problems by delivering real-time, business-level insights operators need to respond immediately.

Service operators rely on CDNs for reliable content delivery, but they’re ultimately responsible for providing high quality of experience in the eyes of their users.”

— Tony Falco, COO at Hydrolix

Addressing Critical CDN Monitoring Challenges

Service operators managing multi-CDN environments face several obstacles:

– Format fragmentation – Multiple CDNs use different data formats, schemas, and delivery mechanisms, preventing unified performance views

– Cost at scale – CDNs generate massive data volumes, sometimes millions of log lines per second. Traditional platforms become prohibitively expensive and have multi-minute delays, forcing data sampling that creates visibility gaps

– Time to insight – Ingesting, parsing, and transforming data into insights takes too long, allowing incidents to impact users before detection

– Technical complexity – Building custom data pipelines and analytics dashboards requires specialized expertise many operators lack

“A multi-CDN strategy is a business necessity, but operators face a painful trade-off: either pay a fortune in data fees or risk critical visibility gaps, “ said Sean Mccarthy, Head of OTT Live Engineering, YouTube (formerly Director, Product – Video Platform at Paramount where he used Hydrolix).

“When a performance issue arises, technical teams shouldn’t be wrestling with five different data sets to understand the scope and cause. CDN Insights delivers the unified, sub-second visibility that was previously a pipedream. This data platform slashes the time spent troubleshooting issues without breaking the bank, and allows teams to focus on service optimization instead of data management. The Hydrolix real time data platform was critical for service and stream monitoring at Paramount and is becoming a standard within the industry.”

Unified Real-Time Visibility

CDN Insights provides operators with immediate access to business-level metrics across their entire CDN infrastructure. Users can drill down into a specific CDN’s performance, and view metrics including edge cache hit rates, HTTP error rates by ASN, and peak throughput by region. The solution enables analysis at any level from network-wide overview comprising multiple CDN solutions to specific edge PoP performance to individual ASN throughput and response status—with no gaps in visibility and access to raw data when needed at every level.

For live streaming media and applications where quality of experience depends on CDN performance, CDN Insights delivers full visibility into issues impacting end users in real time, enabling instant remediation.

Built on Hydrolix’s High-Performance Architecture

CDN Insights leverages Hydrolix’s data platform, which ingests terabyte-to-petabyte-scale data in real time while maintaining sub-second query performance. The platform’s 25-50x compression enables multi-year retention of full-fidelity CDN logs at a fraction of traditional costs, ensuring operators maintain complete visibility without sampling data or creating security and performance blind spots.

CDN Insights is available immediately. The solution supports rapid scaling to match traffic demands without cost inflation, making it ideal for organizations managing variable traffic patterns or seasonal spikes.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

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AuriQ Systems Launches PageFinder Integration with Box to Deliver Multi-Modal Search and Discovery

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DatabaseUSA Launches PersonaMAX: Bridging Business and Consumer Data for Omnichannel Marketing

AuriQ integrates PageFinder with Box to deliver faster, smarter document search across text and image content, with free accounts available.

AuriQ Systems, a Box Technology Partner, announced the availability of its PageFinder solution that integrates with Box, the leading Intelligent Content Management platform, to help organizations unlock deeper insights from their content. Through this integration, AuriQ PageFinder enables users to securely connect to their Box accounts, back up selected folders or files, and perform multi-modal search and discovery across text and image content—all within AuriQ’s web application.

AuriQ PageFinder leverages Box’s enterprise-grade Intelligent Content Management capabilities to provide a seamless, secure experience for users managing large volumes of complex documents. Once connected, AuriQ’s technology processes Box content to make it fully searchable at the page level, displaying thumbnail previews for quick navigation and supporting keyword, image, semantic, and AI-assisted search modes.

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This integration is ideal for teams that rely on Box to manage critical documents and need faster, smarter ways to discover information without changing existing workflows.”

— Ko Ikudome, CEO at AuriQ Systems

“According to IDC research, the average knowledge worker spends 20–30% of their workday searching for information. Traditional keyword search is helpful but no longer sufficient to keep up with today’s growing information challenges. PageFinder’s multimodal, page-level search helps users quickly locate exactly what they need,” said Ko Ikudome, CEO at AuriQ Systems. “This integration is ideal for teams that rely on Box to manage critical documents and need faster, smarter ways to discover information without changing existing workflows.”

AuriQ PageFinder helps organizations improve efficiency, reduce the time spent searching for information, and gain measurable ROI through hundreds to thousands of hours saved annually. By indexing both text and image-based content, including scanned documents and embedded graphics, AuriQ delivers a complete, AI-powered search experience that extends the value of content stored in Box.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

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Tonic.ai launches custom entity types in Tonic Textual

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Iterable Launches Model Context Protocol (MCP) Server, Strengthening Its Dominance in AI Marketing Innovation

New self-serve capability lets users train custom entity detection models on their own data—no data science expertise required.

Tonic.ai, the leader in privacy-preserving data generation and transformation for AI development, announced the launch of Custom Entity Types, a new feature within Tonic Textual that empowers users to build custom entity detection models on their own data, within their own infrastructure or on Tonic’s secure cloud.

The feature introduces a fully self-serve workflow for defining and training custom entities—enabling customers to improve or extend Textual’s detection capabilities to serve industry and organization-specific text through an approachable UI. Using large language models (LLMs) for assisted annotation and model distillation, Textual makes it easy for organizations to create high-accuracy, domain-specific models that adapt to their unique data.

Custom Entity Types puts the power of model customization directly in the hands of our users”

— Adam Kamor, Head of Engineering and co-founder of Tonic.ai

A self-serve breakthrough for sensitive text data

“Custom Entity Types puts the power of model customization directly in the hands of our users,” said Adam Kamor, Co-founder and Head of Engineering at Tonic.ai. “Our customers can now train models and define unique entities themselves—achieving the necessary level of detection and confidence within their workflows—even with highly nuanced text, and without bringing in data science resources.”

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Organizations in highly regulated industries such as healthcare, financial services, and legal technology face growing pressure to de-identify sensitive text data while preserving accuracy and context. Custom Entity Types addresses that need by combining a self-serve interface for annotation with private model training, allowing for bespoke detection that’s unique to their specific use case.

# How it works

With Model-Based Custom Entities, users can:

1. Upload documents containing examples of the desired entity type.

2. Leverage LLM-assisted annotation to automatically identify potential entity spans.

3. Review and refine annotations through an intuitive interface.

4. Train a custom entity detection model on their labeled data.

5. Deploy the model securely within their environment for real-time use.

Because the model is trained on the customer’s own data, it achieves exceptional precision and recall for domain-specific entities—whether that’s prescription names and biometric data for healthcare organizations—or unique account information for financial services organizations.

# Accelerating onboarding and adoption

The new capability also accelerates evaluation and onboarding for new customers. Instead of waiting for custom models to be developed by Tonic’s internal team, users can now generate their own entity models during product evaluation—reducing time-to-value and improving adoption rates across enterprise deployments.

“Custom Entity Types not only improves model accuracy—it makes AI data privacy more accessible,” said Whit Moses, Senior Product Marketing Manager at Tonic.ai. “By putting model training in the hands of the user, we’re eliminating a key bottleneck to responsible AI innovation.”

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

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ON24 Granted U.S. Patent for AI-Powered ‘Key Moments’ Technology in Long-Form Video and Virtual Events

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ON24 Granted U.S. Patent for AI-Powered ‘Key Moments’ Technology in Long-Form Video and Virtual Events

Patent strengthens ON24’s AI leadership, safeguarding technology that identifies and extracts high-impact moments across live and on-demand video experiences, fueling smarter personalization and campaign automation

ON24, the leading customer engagement platform for B2B sales and marketing, announced the issuance of U.S. Patent No. 12,445,698 B2, which protects ON24’s artificial intelligence technology that automatically identifies and extracts “Key Moments” from long-form video content, including virtual and digital events. These distilled highlights, or “Key Moments,” can be seamlessly deployed by ON24 customers across personalized nurture campaigns, shared on social media platforms, or delivered to specific audience segments to increase audience engagement with their campaigns.

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ON24’s proprietary technology uses AI-powered machine learning to analyze data and user engagement within a virtual or digital event, to generate short form video content. This capability supports demand generation, partner enablement, customer and client relationships, education training, certification, and more.

“Artificial intelligence is central to ON24’s strategy and innovation,” said Sharat Sharan, CEO at ON24. “Our patented technology reinforces ON24’s leadership as an AI-enabled engagement platform. It allows us to better understand audience behavior in real time, pinpoint what matters most, and transform those insights into content and campaigns that perform better, across every channel and every customer interaction.”

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Developed by a team of ON24 engineers and data scientists, “Key Moments” enables marketers and customer-facing teams to leverage AI to quickly identify and repurpose their most engaging content, such as product demos, expert insights, or audience Q&A, helping extend the reach and impact of every event and video asset.

“This patent advances our vision of connected, AI-driven engagement,” said Jayesh Sahasi, Executive VP Products, and CTO at ON24. “It brings together AI analysis, behavioral data, and automation to help marketers and other customer facing teams connect the dots, turning a single event into continuous, data-driven campaigns that deliver higher engagement.”

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Alembic Raises $145 Million to Accelerate Enterprise Adoption of Causal AI

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Alembic Raises $145 Million to Accelerate Enterprise Adoption of Causal AI

Led by Prysm Capital and Accenture with participation from Silver Lake Waterman, Liquid 2 Ventures, NextEquity, Friends & Family Capital, and WndrCo, this round positions Alembic among the top AI labs transforming enterprise decision-making

Alembic Technologies, a pioneer in Causal AI for the enterprise, announced it has secured $145 million in Series B and growth funding — a 15.7x increase in valuation over their Series A round. Led by Prysm Capital and Accenture, with participation from Liquid 2 Ventures, NextEquity, Friends & Family Capital, WndrCo and growth funding from SLW, this investment underscores the confidence leading investors and partners have in Alembic’s technology and momentum.

“As powerful artificial intelligence models increasingly converge in capability, the key competitive advantage shifts to proprietary data. Getting a real edge isn’t about using the best LLM; it’s leveraging the unique information rivals can’t access.”

“As powerful artificial intelligence models increasingly converge in capability, the key competitive advantage shifts to proprietary data,” said Tomás Puig, CEO and founder of Alembic. “Getting a real edge isn’t about using the best LLM; it’s leveraging the unique information rivals can’t access. The exclusive data a company generates protects its strategy from generic model outputs where two competitors could get the same answer. This ensures any key insights and market decisions come from a truly private intelligence engine.”

Alembic’s Causal engine creates a compounding data flywheel: Better insights lead to improved products and strategies for customers, which then capture more high-signal data. That loop accelerates, building a durable strategic advantage.

The round deepens Alembic’s strategic partnerships with leaders like Accenture, which will leverage the Causal AI platform to accelerate its clients’ enterprise reinvention journeys.

“Our clients are not just implementing AI; they are undergoing total enterprise reinvention, which hinges on trust and intelligence at the digital core,” said Julie Sweet, chair and CEO of Accenture. “Alembic’s Causal AI provides exactly that by moving the enterprise beyond correlation to deliver the verifiable, cause-and-effect insights leaders need to act with decisive speed.”

“This investment and collaboration with Accenture will help us reach more companies that want to understand what really drives their results,” said Puig. “Most businesses are not short on data. They are short on answers. Together we are turning that data into concrete insights that leaders can act on.”

This funding will accelerate the scaling of Alembic’s Causal AI decision engine to meet rising demand from Fortune 500 B2B and B2C clients, including Delta Air Lines, Mars, and its founding enterprise customer, NVIDIA.

“Alembic’s ability to connect marketing exposure directly to business outcomes — with speed, precision and granularity — is what made this relationship so transformative for us. Unlike traditional measurement tools, Alembic gave us a unified view across channels and campaigns, unlocking insights we simply couldn’t access before,” said Alicia Tillman, chief marketing officer at Delta Air Lines. “This partnership marks a major leap forward in how we quantify impact, and it’s laying the groundwork for a more agile, refined and scalable measurement framework across the enterprise.”

“We are using math to liberate creativity! Our fans and communities create billions of organic conversations and content about our brands. When a viral moment happens, we normally know it’s directionally positive, but we can’t attribute the sales uplift or its place in the customer journey. Alembic’s Causal AI is a breakthrough, allowing us to move beyond correlation to see exactly how that organic conversation created a sequence that directly impacted sales,” said Gülen Bengi, lead global chief marketing officer for Mars Inc., and global chief growth officer for Mars Snacking.

Alembic Announces Deployment of NVIDIA DGX AI Supercomputing Fueled by New Funding

To power its next phase of growth, Alembic is using this capital to deploy a new NVIDIA NVL72 superPOD cluster deployed at Equinix’s AI-ready SV11 International Business Exchange™ (IBX®) data center in Silicon Valley. This state-of-the-art DGX AI Supercomputing cluster, running the NVIDIA AI Enterprise software suite, provides the high-performance computing backbone required for Alembic’s Causal AI. The system is engineered to power the company’s continuous-learning spiking neural networks and spatio-temporal graph construction, ensuring real-time, Causal insights as customer data volumes scale exponentially. This marks the second supercomputing cluster that Alembic owns outright, establishing bi-coastal redundancy. This strategic investment in a dedicated, private AI fleet ensures guaranteed resource availability and offers Alembic unparalleled control to optimize the full stack for the company’s unique Causal AI workloads. The new cluster is scheduled to go live by the end of the year.

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“Alembic is an applied science company. To build the world’s most advanced Causal AI, you need the world’s most advanced computing platform,” added Puig. “This new NVL72 superPOD that we are building in partnership with NVIDIA and Equinix is our engine. It allows our research teams to fully leverage multi-exaflop-level compute and NVIDIA’s algorithmic software stack, like the CUDA-X toolkit, from cuGraph for graph processing to TensorRT for high-speed inference. This deep integration is one of our secret weapons: we spend more time on breakthrough research and mathematics and less time on repetitive low-level engineering, enabling us to deliver Causal answers to partners like Accenture in near real-time, not months.”

Defining the Next Era of Enterprise AI

“Alembic is not just another AI tool; it’s emerging as a mission-critical intelligence layer for the enterprise,” said Matt Roberts, cofounder and partner at Prysm Capital. “We heard a consistent story from its early customers, which are moving from theoretical ‘insights’ to proven, real-world impact at a massive scale. The company is pioneering a new foundational model for enterprise decision-making, and we’re excited to partner with Tomás and his exceptional team as they define this category.”

Alembic combines the compute power and engineering skill of a world-class research lab, pioneering next-generation AI architectures through its event-driven and efficient spiking neural networks. This foundation enables the company to continually advance Causal AI performance and scalability for its enterprise partners.

“Alembic has achieved the rare balance of deep technical rigor and immediate commercial relevance,” added Shawn K. O’Neill, managing partner at SLW. “Its Causal AI engine is already playing a key role in how global enterprises allocate marketing and operational spend, and we’re proud to support its next phase of growth.”

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“In my over 40 years as a brand marketer, the challenges around attribution and effectiveness have made it virtually impossible to quantify the impact of every dollar invested in marketing,” said Jeffrey Katzenberg, founding partner of WndrCo. “Since partnering with Tomás and the Alembic team last year, we’ve had the privilege of introducing Alembic’s platform to some of the world’s largest brands. There have been such positive reactions from CMOs, who are now leveraging this unprecedented level of intelligence to make decisions on where to allocate advertising dollars to optimize sales.”

Justin Wexler, WndrCo general partner and Alembic board director, said, “When I first began to get to know Tomás, it became clear that Alembic was on the path to defining the future of enterprise intelligence, made possible by advances in AI that had yet to be connected to real commercial needs. It’s been rewarding to see the market increasingly recognize the transformative impact of Alembic’s platform on enterprise decision-making.”

Real Results from Causal Truth

Alembic’s platform has helped leading enterprises achieve measurable business impact:

  • Delta Air Lines quantified the revenue lift from its Team USA Olympics sponsorship within days, linking brand activations to ticket sales.
  • Mars measured the real dollar value of viral celebrity moments while North Sails optimized digital strategy for record ROI.
  • A Fortune 500 technology leader expanded its sales pipeline by 37%, achieving precise marketing attribution across business units.
  • Texas A&M boosted fan engagement and donor contributions across sports programs through Causal measurement and forecasting.

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Accenture Invests in Alembic to Reinvent Marketing Measurement with Data and Causal AI

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Accenture Invests in Alembic to Reinvent Marketing Measurement with Data and Causal AI

Accenture has invested, through Accenture Ventures, in Alembic, a leading AI-powered causal marketing intelligence platform that can determine which marketing campaigns deliver a return on investment (ROI). As part of this investment, Accenture and Alembic are entering into a strategic partnership to help clients dynamically measure marketing effectiveness and use AI-driven insights to boost revenue.

Recent research from Gartner found that two-thirds of marketing leaders reported moderate to significant challenges demonstrating the impact of marketing campaigns on business outcomes to key stakeholders1. Alembic’s AI-powered causal platform collects and analyzes data across multiple marketing channels—including broadcast, social, site traffic and direct-to-consumer communications—and couples this with sales data. The platform identifies links between actions and outcomes, assigning an impact score for each channel or marketing event. The result is real-time insights that can be used to guide marketing spend, and tangible connections between marketing campaigns and revenue impact.

“Our clients are not just implementing AI; they are undergoing total enterprise reinvention, which hinges on trust and intelligence at the digital core,” said Julie Sweet, Chair and CEO of Accenture. “Alembic’s Causal AI provides exactly that by moving the enterprise beyond correlation to deliver the verifiable, cause-and-effect insights leaders need to act with decisive speed.”

Marketing Technology News: MarTech Interview with Julian Highley, EVP, Global Data Science & Product @ MarketCast

While other measurement mechanisms are often constrained to siloed data sets, Alembic can analyze complex data patterns as well as traditionally difficult-to-track channels such as brand campaigns, sponsorships, events and the influence of organic social posts – even as customer data grows at an exponential pace. Additionally, recent market changes and events such as changing public policy can be modelled for a cause-and-effect impact, so that quick adjustments can be made to safeguard marketing spend or identify new paths to revenue.

Tomás Puig, founder and CEO of Alembic, added: “This investment and collaboration with Accenture will help us reach more companies that want to understand what really drives their results. Most companies are not short on data. They are short on answers, and that is where our NVIDIA SuperPOD backbone makes the difference. It gives us the compute power to uncover cause and effect in real time and show what truly drives growth. Together we are turning that data into concrete insights leaders can act on.”

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Arun Kumar, global customer AI and data lead, Accenture Song, said: “This partnership between Accenture and Alembic is a paradigm shift in measurement. Alembic’s capabilities complement existing approaches, such as market mix modelling, but now with seemingly limitless variables that can be analyzed. Where measurement has often been seen as an afterthought, Alembic lets us see both the big picture and the details.”

Accenture Song is committed to making marketing more accountable and measuring return on investment. This includes building deep, strategic relationships with best-in-class emerging AI companies to realize this opportunity. Accenture offers clients a suite of complementary partnerships that cover the entire marketing workflow. For instance, Aaru assists with upfront marketing strategy, Writer enhances content creation, AI Refinery helps create and run smarter campaigns faster, and now with Alembic, clients have an answer to scaling and enhancing marketing attribution and analytics. Accenture’s marketing and communications function is piloting Alembic’s technology to measure the effectiveness of its own campaigns.

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Circuitry.ai and Service Xcelerator Announce Strategic Partnership to Transform Warranty, Claims & Service Operations With AI

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Circuitry.ai and Service Xcelerator Announce Strategic Partnership to Transform Warranty, Claims & Service Operations With AI

Circuitry.ai, an AI-native leader in service and warranty decision intelligence, and Service Xcelerator (SXCL), a pioneering AI-powered software company that automates claims, improves accuracy in dispatch, and provides real-time customer insights, announced a strategic partnership designed to deliver a comprehensive service and warranty platform for Consumer product manufacturers, OEMs, and TPAs.

“After decades building leading warranty software platforms, we founded Circuitry.ai to bring AI-native decision intelligence to the service and warranty world,” Ashok Kartham, CEO of Circuitry.ai

This collaboration blends Circuitry.ai’s advanced AI-driven Warranty & Service Decision Intelligence, which includes its powerful suite of AI Advisors, Analysts, and Agents with Service Xcelerator’s robust Claims, Dispatch, and Insight modules, offering a unified, intelligent solution tailored for full-service lifecycle optimization. Circuitry.ai’s AI tools integrate seamlessly with existing systems to streamline claims decisions, predict repair needs, and boost productivity by up to 35%, while Service Xcelerator delivers real-time insights, secure communication, agile dispatch, and configurable claims processing.

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John Estrada, CEO of Service Xcelerator, commented “With over 25 years of leadership and innovation in the warranty industry, including co-founding ServiceBench, I’ve seen how fractured systems hinder service delivery. This partnership bridges that gap, combining the best of claims visibility, intelligent dispatch, and AI-powered insights to empower service teams to be faster, smarter, and more customer-centric.”

Ashok Kartham, CEO of Circuitry.ai, added, “After decades building leading warranty software platforms, we founded Circuitry.ai to bring AI-native decision intelligence to the service and warranty world. By pairing our AI-driven Service, Parts, and Warranty advisors, analysts, and agents with Service Xcelerator’s Claims, Dispatch, and Insight capabilities, we’re creating an end-to-end, intelligent service ecosystem, where AI powers both the frontlines and the backend with unmatched speed, consistency, and accuracy.”

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Why This Partnership Matters:

  • End-to-end intelligence: From claim initiation and verification, through dispatch and repair, to warranty adjudication, all are unified under one intelligent workflow.
  • Complementary strengths: Service Xcelerator brings operational excellence in claims configuration, customer interaction, and field coordination; Circuitry.ai contributes cutting-edge AI decision support for automation, prediction, and knowledge augmentation.
  • Fast deployment and integration: Circuitry.ai’s AI layers work seamlessly atop existing systems with rapid configuration; Service Xcelerator’s modules are designed for modern integration and scalability.
  • Built on decades of expertise: Both CEOs and leadership teams bring a combined 100+ years of domain knowledge, ensuring the solution is grounded in real-world service and warranty challenges.

This collaboration positions manufacturers, TPAs, and service networks to dramatically reduce claims handling times, lower warranty costs, increase first-time-fix rates, and elevate customer experience, without costly system replacement or disruptive rollouts.

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Deepgram Receives 2025 Customer Experience Innovation Award From CUSTOMER Magazine

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Deepgram Receives 2025 Customer Experience Innovation Award From CUSTOMER Magazine

Aura-2, the World’s Most Professional, Cost-Effective, and Enterprise-Grade Text-To-Speech Model (TTS), Honored for Improving Customer Service Technology

Deepgram, the world’s most realistic and real-time Voice AI platform, announced that TMC, a global, integrated media company, has named its Deepgram Aura-2, the world’s most professional, cost-effective, and enterprise-grade text-to-speech (TTS) model, a 2025 Customer Experience Innovation Award winner, presented by TMC’s CUSTOMER magazine.

Aura-2 delivers human-like speech with domain-specific pronunciation, including drug names, legal references, alphanumeric identifiers, and structured inputs like dates, times, and currency values.

The 2025 CX Innovation Awards recognize best-in-class companies setting the standard in delivering exceptional customer experiences through all channels, including social and AI-powered agents. Aura-2 was recognized because it isn’t just another “nice voice” model – it actually shows up for work. Aura-2 is the only TTS model purpose-built for enterprise use cases, rather than entertainment scenarios. Natural, accurate, and fast, Aura-2 delivers human-like speech with domain-specific pronunciation, including drug names, legal references, alphanumeric identifiers, and structured inputs like dates, times, and currency values. It also achieves sub-200ms TTFB latency and offers pricing that supports large-scale use. Powered by Deepgram Enterprise Runtime (DER), Aura-2 supports flexible deployment options across cloud, VPC, and on-premises environments, along with model hot-swapping and real-time optimization. These are capabilities that most TTS vendors are unable to provide.

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“Congratulations to Deepgram for receiving a 2025 Customer Experience Innovation Award. Aura-2 has been selected for setting the standard in delivering world-class customer experiences across all channels,” said Rich Tehrani, CEO, TMC. “We’re pleased to recognize this achievement and know we will continue to see great innovation from Deepgram in 2025 and beyond.”

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“Aura-2 represents more than just a step forward in voice synthesis. It marks a shift in how enterprise-grade text-to-speech is built, evaluated, and deployed. From consistent pronunciation of structured data to real-time responsiveness under load, Aura-2 is engineered for production environments where clarity, reliability, and scalability are non-negotiable,” said Praveen Rangnath, CMO, Deepgram. “Indeed, we are honored to have won a 2025 Customer Experience Innovation Award, as it is presented by one of the most well-known and respected authorities on exceptional service, outstanding support, and premium customer care – Customer magazine.”

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Data Axle and Tealium Partner to Bring Real-Time Data Intelligence to Automotive Marketing

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Data Axle and Tealium Partner to Bring Real-Time Data Intelligence to Automotive Marketing

New survey reveals 68% of dealership outreach fails to connect, signaling an urgent need for smarter data practices

Data Axle, a leader in data-driven solutions that create meaningful connections between companies and people, announced a strategic partnership with Tealium, a leading global customer data platform (CDP). Together, the companies are transforming how automotive brands use data, turning fragmented dealership systems into unified intelligence that drives sharper decisions and stronger customer relationships.

The solution combines Data Axle’s verified consumer and vehicle datasets with Tealium’s real-time customer data platform. The integration enables dealers and Original Equipment Manufacturers (OEMs) to connect disparate records; eliminate redundancy; and use verified insights to guide marketing, sales, and service strategies with greater precision.

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New survey findings commissioned by Data Axle reveal widespread fatigue among consumers due to disconnected dealer communications. Nearly half of respondents (46%) say they’ve received duplicate or conflicting messages from the same dealership, while 68% describe the communications they receive as inconsistent or irrelevant. At the same time, consumers are clear about what does matter. Respondents noted they are most willing to share core identifiers like email, phone, and vehicle history when they see tangible value in return, such as trade-in estimates, financing options, or service offers that align with their needs.

“Dealerships are sitting on a wealth of data that rarely works in concert,” said Chris McTague, managing director of automotive at Data Axle. “Cars have become interchangeable, but data isn’t. What separates one dealer from the next is how intelligently they use their information. This partnership with Tealium creates a foundation where verified, actionable data informs every customer interaction, cutting waste, strengthening trust, and improving performance across the board.”

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With Data Axle’s deterministic identity graph and automotive datasets feeding directly into Tealium’s CDP to clean and enrich customer data, dealers can now act on unified customer insights instantly, whether refining audience models, tailoring outreach, or improving service engagement. By grounding every decision in accurate, permissioned data, dealers can replace guesswork with measurable impact.

“The auto industry faces unique challenges and often navigates fragmented data systems, making it difficult for dealers to fully understand and engage their customers,” said Stephen Smith, RVP of Partnerships at Tealium. “Our partnership with Data Axle brings unified, real-time customer intelligence to the driver’s seat by empowering dealers with the clarity, control, and connected data they need to engage smarter and build lasting trust.”

Tealium and Data Axle are offering a solution that unites high-quality data with live orchestration. As dealers face mounting pressure to modernize how they identify and reach buyers, this collaboration offers a path to more connected, credible, and data-efficient operations.

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BrowserStack Unveils AI-Powered Self-Healing Agent to Keep Builds Green

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BrowserStack Unveils AI-Powered Self-Healing Agent to Keep Builds Green

BrowserStack, the world’s leading software testing platform, announced its Self-Healing Agent, which automatically identifies and remediates broken locators during test execution—tackling one of the costliest friction points in modern software delivery.

Every time a developer makes UI enhancements or feature rollouts, engineering teams face an invisible productivity drain: broken locators that halt builds and block deployments. Teams spend an average of 15 minutes fixing each broken locator, with some organizations losing up to half their quality assurance time to test maintenance instead of building new features.

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“When a simple UI change breaks dozens of tests and blocks deployments, automation becomes a liability instead of an asset,” said Nakul Aggarwal, CTO and Co-Founder of BrowserStack. “Our Self-Healing Agent eliminates that friction by catching and remediating locator failures the moment they happen, keeping builds green and teams productive.”

The solution marks a fundamental shift in how test automation handles change. Rather than requiring manual intervention after every UI update, it adapts automatically—identifying and remediating failures while maintaining the reliability teams need, enabling them to:

  • Identify elements accurately using context-aware locator matching
  • Prevent pipeline failures with runtime remediation that adapts instantly to UI changes
  • Maintain visibility and trust with transparent healing logs showing how locators were fixed
  • Two-phase healing that remediates failures instantly and auto-proposes permanent code updates

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Supporting popular automation tools like Selenium, Playwright, and Appium to test across web and mobile apps, the Self-Healing Agent has helped teams reduce automation build failures by 40%. Unlike black-box solutions, it provides transparent logs giving teams full visibility into healing behaviour every test run.

Available now on Automate, App Automate, and Low-Code Automation, the Self-Healing Agent underscores BrowserStack’s broader mission: to tackle the entire spectrum of unintended test failures and make test automation truly self-sustaining.

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GoFormz and AASHTOWare Launch Data Alliance to Modernize DOT Field Operations

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Iterable Launches Model Context Protocol (MCP) Server, Strengthening Its Dominance in AI Marketing Innovation

GoFormz, a leading digital forms and workflow automation platform, announced a Data Alliance with AASHTOWare, a trusted solution designed for and used by state departments of transportation (DOTs) across the U.S. The alliance leverages AASHTOWare OpenAPI and GoFormz’s mobile-friendly, no-code platform to streamline data collection, automate workflows, and strengthen compliance for DOTs.

“This Data Alliance enables smarter, faster field-to-system data exchange,” said Rob Brewster, CEO of GoFormz. “Agencies can make better decisions with accurate, timely insights from the field.”

By connecting GoFormz’s data capture and workflow automation capabilities with AASHTOWare Project™, DOTs can replace paper-based forms and disconnected systems with a fully digital workflow. Inspectors, supervisors, and administrators can complete mobile forms, online or offline, and automatically route them into AASHTOWare Project for review and approval, ensuring data accuracy, faster turnarounds, and stronger compliance.

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“The goal of the Alliance Program is to deliver innovative solutions to our state department of transportation members and the transportation technology marketplace at a faster pace,” said Keith Platte, Director of AASHTOWare. “Our new Data Alliance with GoFormz helps AASHTOWare Project members complete digital forms in GoFormz, and automatically sync structured data to AASHTOWare Project, allowing them to centralize their project management data and increase efficiency.”

“The new Data Alliance between GoFormz and AASHTOWare Project provides benefits to our DOT from a data standpoint and user experiences. A reduction in time spent to duplicate effort moves the user to enter true and concise information from the beginning to be utilized by many areas for compliance,” said Janet Treadway, Ohio Department of Transportation. “Our business owners can address needs from users by creating new forms or updating formulas on existing ones very quickly to ensure that we get the data we need to make the most informed decisions for payments or compliance.”

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Data Alliance Highlights

  • Seamless data exchange through AASHTOWare OpenAPI
  • Mobile-first design with offline synchronization for remote fieldwork
  • Automated routing of inspections, compliance, and safety forms into AASHTOWare Project
  • Dynamic digital forms with conditional logic and validation (beyond static PDFs)
  • Robust records with attachments, e-signatures, and geotags

“By combining the trusted power of AASHTOWare Project with the flexibility of GoFormz, state DOTs can accelerate their day-to-day operations,” Brewster added. “Agency subject matter experts within AASHTOWare Project have the enhanced functionality of creating inspection or contract compliance documents from Word or Excel already in place and then used by agencies within a fraction of the time to make a digital form.”

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Artificial Intelligence, Authentic Risk: Ai-Powered Threats to Soar, Warn Anti-Fraud Professionals

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Prof. Ronjon Nag, Ecrio Chairman, spearheads the Acceleration of Ecrio's Edge AI Communication Products

On the 25th anniversary of International Fraud Awareness Week, fraud fighters sound the alarm on AI-fueled deception

AI has changed the rules of deception. What once took a skilled fraudster hours or days now takes a model seconds. Just in time for International Fraud Awareness Week 2025, Nov. 16 – 22, a new cross-industry survey of anti-fraud professionals by the Association of Certified Fraud Examiners (ACFE) and data and AI leader SAS finds that:

77% report an acceleration in deepfake social engineering over the past 24 months; and 83% anticipate a moderate (28%) to significant (55%) increase in such schemes in the next two years.

Preventing #fraud starts with awareness. Learn more & join the #FraudWeek conversation online, Nov. 16-22.

These early insights – previewing the fourth edition of the Anti-Fraud Technology Benchmarking Report, coming in March 2026 – signal a rapid rise in AI-fueled fraud that is escalating risks for both industry and the public.

“Artificial intelligence has become one of the most powerful tools in business – and one of its most potent threats,” said John Gill, JD, President of the ACFE. “Awareness is our best defense as new risks continue to evolve. Educating professionals, equipping government and industry and empowering the public to recognize the AI-guided threats proliferating unseen is vital to maintaining trust and building confidence for what lies ahead.”

For anti-fraud professionals, the ACFE and SAS offer the Fraud Week webinar, Agentic AI in Action: Intelligent, Adaptive Fraud and Financial Crime Prevention, on Nov. 17 at 11 a.m. ET. Register to attend live or watch later on demand.

“AI is blurring the boundary between truth and imitation, with untold billions at stake,” said Stu Bradley, Senior Vice President of Risk, Fraud and Compliance Solutions at SAS. “Even as AI drives seemingly limitless progress, it tests the very limits of truth itself. We must educate the public about what’s at stake – and ready government and industry to face AI-charged fraud, at a time when fewer than one in 10 anti-fraud pros feel well prepared, according to our recent survey of ACFE members.”

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Follow #FraudWeek on LinkedIn and other social channels to join the global conversation. Experts from SAS and across the anti-fraud community will share practical tips, research highlights, use cases and other resources throughout the observance.

Confronting AI-driven fraud across industries
Across sectors, AI is reshaping the scale and sophistication of fraud – and the tools and strategies required to stop it. To strengthen safeguards, SAS offers these field-proven resources:

  • AI in banking: Adversary – and hero. Scams are evolving fast, but so is banks’ ability to stop them. The Future of Trust: How AI is Powering a New Era in Banking Fraud Detection reveals how advanced analytics helped one bank cut alerts by 40% and improve detection by 35%, fortifying both safeguards and customer experience.
  • AI in public sector: Signal – and shield. Even as schemes targeting government programs grow more complex, detection tools advance in parallel. The Public Sector Fraud-Fighting Maturity Assessment, based on industry research by Coleman Parkes and SAS, helps agencies benchmark their capabilities and identify gaps to advance AI-amplified, anti-fraud readiness.

From digital identity verification to real-time transaction monitoring to insurance claims analysis to payment integrity in public benefits, organizations worldwide are strengthening their defenses with SAS. These examples showcase how businesses and government agencies are using advanced analytics to outmaneuver AI-scaled fraud threats.

Powering faster, smarter decisions with high-trust identity verification
BankID, a service from Stø, is Norway’s national digital identity provider, securing authentication and digital signing for more than 4.6 million citizens across banking, government and private-sector platforms. Processing nearly a billion transactions each year, BankID is modernizing its infrastructure – transforming decades of trusted identity data into real-time, self-learning intelligence.

To strengthen its defenses against AI-age threats, BankID is integrating high-trust identity and authentication signals (e.g., login patterns, device metadata, signing behavior, etc.) into SAS’ real-time fraud scoring and decisioning systems. This convergence of ID assurance and behavioral analytics drives earlier anomaly detection, greater risk-scoring accuracy and stronger protection against account takeover and synthetic identity fraud.

“BankID goes beyond identity protection – it powers intelligent fraud prevention,” said David Sæle, Product Manager, BankID Anti-Fraud. “By combining our identity signals with SAS’ AI-driven fraud analytics, we’ve moved from reacting to fraud to anticipating it. The result is smarter real-time detection and fewer false positives, enabling faster, more confident decisions that protect both users and trust at a national scale.”

Transforming real-time transaction monitoring with machine learning
Ajman Bank is a Sharia-compliant bank serving retail, business and government customers in the United Arab Emirates. The fast-growing financial institution has allied with SAS and regional integration partner DataScience Middle East to advance its fraud detection capabilities and raise the regional standard for modern fraud prevention.

Ajman Bank has deployed SAS’ real-time fraud management and decisioning platform to monitor activity across cards, payments and digital services. Machine learning models evaluate and score customer behavior in real time, reducing false positives and helping investigators focus on the highest-risk threats. By unifying data and analytics across channels, the bank is building a faster, more precise defense against evolving fraud tactics.

“Our partnership with SAS and DataScience ME reflects our commitment to adopting world-class technologies that protect our customers and ensure the integrity of our banking operations,” said Abhishek Sharma, Chief Risk Officer at Ajman Bank. “With real-time analytics and tailored models, we are delivering smarter, safer banking for our community.”

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Mapping hidden insurance fraud networks at scale – a first of its kind in Korea
Among South Korea’s major general insurers, DB Insurance serves more than 10 million customers and manages millions of claims annually. Confronted with organized criminal rings that linked crooked repair shops, medical clinics and brokers, the insurer partnered with SAS to develop Korea’s first AI-powered fraud detection network.

Built on SAS Viya, the DB T-System unifies decades of policy, claims and customer data on a single platform. Then, applying network analytics, the system exposes hidden relationships and patterns of deceit across millions of claims, refining its precision with each investigation. As a direct result, detection accuracy leaped 99%, while analysis time dropped from hours to mere minutes per case. The team now processes 30x more cases than before – not only curbing fraud losses but accelerating claims resolution.

“We turned it on, and just like that, dozens of cases lit up revealing invisible fraud connections,” said a senior claims operations leader at DB Insurance. “We could see 10 million customers, every claim, every connection. We stopped reacting to fraud and started preventing its spread.”

Strengthening payment integrity in public benefits with machine learning
Since 2019, one large, southern US state has teamed with SAS to strengthen the integrity of its food assistance program. What began as workflow automation for portions of the state’s SNAP benefit recovery process has since expanded statewide. Using data captured in early stages of the collaboration, SAS later created a machine learning model to risk-score overpayment referrals and help program staff prioritize cases for investigation, which must meet strict timeliness standards.

Building on this progress, officials expanded that model to evaluate all active SNAP cases across the state and flag those with the highest likelihood of error. The state now uses SAS Payment Integrity for Food Assistance to guide and sharpen its review processes, directing attention to higher-risk cases – a model of how advanced analytics can enhance responsible public program oversight.

“We saw a 50% reduction in the processing time for our investigations, and we moved from a 12-month processing time down to six months,” said a senior official responsible for the state’s program integrity oversight. “That was huge for us, because we were also facing budget constraints and couldn’t add more resources.”

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Debenhams Group and Peak Collaborate on Cutting-edge AI to Stay Ahead of Holiday Demand

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Ascend.io Introduces Agentic Analytics Engineering with dbt Core Integration

– Agentic AI solution will help to drive smarter, faster trading decisions

As the Golden Quarter gets underway, Debenhams Group – home to PrettyLittleThing, boohoo, boohooMAN, Karen Millen and Debenhams – has introduced a new artificial intelligence solution to help manage sales, stock and pricing more effectively across its brands.

By combining information on stock, pricing and promotions, it gives teams a clearer view of demand and performance, helping them respond quickly as shopping patterns shift through the season.

The new agentic AI solution is the latest step in Debenhams Group’s investment in innovation to improve efficiency and agility. It can predict and guide decisions, and act on them autonomously, saving the merchandising team time each month and increasing the speed and accuracy of decision-making across brands.

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By providing teams with better insights and enabling more timely decisions, the approach is helping to strengthen planning and coordination across the Group in the run-up to Black Friday and the festive shopping season. Debenhams Group first partnered with Peak, a UiPath company, in June to explore how AI could enhance product pricing and promotions.

Dan Finley, CEO of Debenhams Group said: “As a digital-first retailer, we’re embracing AI to make smarter, faster decisions that simplify our operations and enhance the customer experience. This technology will transform how we manage stock and pricing—especially during the busy festive season—and help us continue to deliver great value and service across all our brands.”

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Richard Potter, CEO of Peak, said: “The future of retail belongs to intelligent AI systems—ones that will optimise decision making and take action alongside the business team. By bringing this level of agentic AI innovation to market, Debenhams Group is setting the benchmark for how technology can transform retail performance .”

About Debenhams Group:

Debenhams Group is an online powerhouse in fashion, home, and beauty, serving millions of customers across five shopping destinations: Debenhams, Karen Millen, boohoo, MAN and PLT.

Debenhams Group dates back to 1778 when William Debenham, a retail pioneer of the time, opened the UK’s first department store.  the Group is home not just to Debenhams – which was relaunched in 2021 as an online department store – but also to several leading online fashion and beauty retailers, including boohoo, PLT, MAN, and Karen Millen.

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Endava Launches Dava.Rise to Accelerate Enterprise Innovation

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PDF7.app Launches AI Chat with PDF After 30,000-User Beta

Endava, the technology-driven business transformation group whose AI-native approach combines cutting edge technology with deep industry expertise, has announced the launch of Dava.Rise, a new programme designed to connect high-potential scale-ups with global enterprises seeking to accelerate innovation.

“We believe Dava.Rise will help to turn transformative ideas into scalable reality,” says John Cotterell, CEO of Endava.

Dava.Rise bridges the gap between enterprise demand for rapid innovation and the solutions emerging from scale-up ecosystem. By utilising Endava’s international industry network, the programme identifies the key challenges and trends faced by enterprises and matches them with pioneering scale-ups.

“Enterprises want to innovate at speed, while scale-ups seek the guidance and infrastructure to succeed,” said John Cotterell, CEO of Endava. “We bring the best of both these worlds together, pairing inventiveness and entrepreneurial creativity with enterprise-grade delivery and execution. We believe Dava.Rise will help to turn transformative ideas into scalable reality. As the founder of Endava over 20 years ago I am passionate about enabling great businesses to get the audiences, partnerships and distribution they need to succeed.”

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For participating scale-ups, Dava.Rise will look at each organisation’s product-market fit, seeking to demonstrate the value and scalability of proof-of-concept frameworks , and to help accelerate each firm’s commercial pathways to those typically reached later in the venture cycle. Endava’s experts also provide go-to-market support with sales and customer engagement. The programme offers access to mentorships, industry-led workshops, as well as technical guidance so that scale-ups can meet enterprise-grade standards at speed.

For enterprises, the programme will provide a credible route to adopting potential new, innovative technologies. In addition, Endava’s partners have the opportunity to engage with a strong pipeline of enterprise targeted scale-ups. Dava.Rise fosters close collaboration between investors, ventures, and industry leaders.

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Erin Platts, CEO of Octopus Ventures & Octopus Investments, said, “Dava.Rise offers an opportunity to connect the creative imagination of founders with the distribution and scale of global organisations, unlocking value for both sides of this business equation. The goal of Dava.Rise is to help innovation translate into measurable business outcomes.”

Dame Alison Rose, co-chair of Endava’s Global Advisory Board, added, “Programmes like Dava.Rise are exactly what the UK innovation ecosystem needs, a platform that helps brilliant ideas grow into commercial success stories.”

Launched in London with Global Entrepreneurship Week, the first cohort will have a strong UK-focus. The programme is planned to expand globally, and into industry specific cohorts across a variety of industries in 2026, including finance, insurance, automotive, travel, healthcare, government and media.

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Ecer.com Pioneers the Digital Highway for Chinese Manufacturing with Full-Stack AI Solutions

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Ecer.com Pioneers the Digital Highway for Chinese Manufacturing with Full-Stack AI Solutions

The challenges of cross-border trade have long been defined by three major hurdles for Chinese exporters: time-space barriers, high trust costs, and process inefficiency. As the AI wave sweeps across the globe, fundamentally reshaping the competitive landscape of international commerce, ecer.com, a leading global mobile B2B foreign trade platform, has announced a significant strategic upgrade. The company’s goal has evolved from merely building an “Information Bridge” to creating a comprehensive “Digital Export Platform” designed to systematically empower Chinese foreign trade enterprises and enhance their core competitiveness in the global market.

The Bottleneck: The “Ceiling” of Traditional B2B Platforms
In the past, the core value of B2B foreign trade platforms was “matchmaking.” While this solved the initial problem of information asymmetry, it introduced a new set of critical issues:

Inefficient Matching: Suppliers waited in a sea of information, while buyers struggled to vet factories of varying quality. The process was protracted and highly inefficient.

The Trust Deficit: Behind every perfectly curated product image, what was the true strength and capacity of the factory? Relying solely on online communication made it difficult for buyers to resolve doubts, leading to high decision-making costs.

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Fragmented Processes: Crucial steps—from marketing and communication to logistics and fulfillment—were scattered across different systems, resulting in low operational efficiency.

Traditional platforms reached a limit on traffic but failed to solve the deeper, structural issues of efficiency and trust.

The Breakthrough: ecer.com’s AI-Powered Strategy
Ecer.com is deploying an AI “Combination Punch” to break through these barriers.

1. Smart Decision Engine: From “People Searching for Goods” to “Goods Finding People”
In ecer.com’s ecosystem, AI is no longer a cold algorithm; it is a “Super Buyer” positioned within the global market. Through deep learning of supplier data and real-time behavior of global buyers, the engine achieves precise supply-demand matching. It doesn’t just understand, “I need a hardware part”; it can discern, “This buyer requires a hardware supplier that is compliant with new EU regulations, holds specific certifications, and has a monthly capacity exceeding 50,000 units.”

2. Communication Barrier Breaker: AI Creates Zero-Lag Business Opportunities
The gap of language and the difference in time zones silently decelerate cross-border trade, causing countless opportunities to be missed in waiting. ecer.com’s AI Inquiry System not only provides 7×24 multi-lingual real-time translation to ensure error-free information delivery, but it also intelligently analyzes buyer intent and predicts core questions. Inquiries are no longer cold emails; they are the starting point for highly efficient, AI-empowered conversations that accelerate closing deals.

3. Full-Domain Collaboration Engine: Creating a Seamless “Digital Trade Body”
Ecer.com is currently “operationalizing” the entire foreign trade workflow. It integrates every segment, from marketing acquisition and intelligent customer service to supply chain docking and cross-border logistics. Data flow, information flow, and logistics are seamlessly coordinated, achieving the goal of “One System, Global Control.”

The Future Vision: A Value Leap from “Platform” to “Ecosystem”
The future blueprint is clear: the core value of going global is leaping from the scale effect of a “Platform” to the co-existence value of an “Ecosystem.” ecer.com’s intelligent ecosystem—built on “Platform + Data + Service”—is designed to dismantle the “invisible barriers” of traditional export models. It enables Made in China products to advance at full speed on an unobstructed “Digital Highway.”

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

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Brandcil is set to release Agentic and GenAI powered Features.

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Brandcil is set to release Agentic and GenAI powered Features.

Welcome to the future of Social Media Management: Brandcil is set to release Agentic and GenAI powered Features that will revolutionize the social media management industry.  These features are Promptcil (AI Agent), Smart Editor and Executive Level Reports.

Brandcil, the AI-First all-in-one social media management platform for creators, businesses, and marketing teams, announced the upcoming release of state-of-the-art  Agentic AI and Gen AI powered features, scheduled for Q1 2026. These new features are Promptcil, Smart editor, and Executive Reports. These features enable users to automate core social media management tasks: content creation and publishing, predictive analytics, trend intelligence, plus enhanced dashboards and executive reports, all unified in a single workspace.

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A Smarter Way to Social Media Management
This new version of Brandcil blends creation, analytics, and automation to help users create, edit, plan, and optimize content without ever leaving the platform, with the power of AI agents. Executive reports generation and exports help users focus on running their businesses.

Major New Features in This Release

1. Promptcil – A conversational User Interface powered by cutting-edge agentic AI technology. Using this feature is the same as having a whole team of experts working for you.
• Planner Agent helps turn vague asks into social platform-specific plan
• Media Agent (auto-caption, chapters, thumbnails)
• Copy Agent (titles, hooks, descriptions)
• Hashtag & Entity Agent to provide intelligence and recommendations
• Comment & Sentiment Analyst for better insights
• Calendar Orchestrator (predicts best times, reserves conflict-free slots across accounts, enforces cadence and rate limits, verifies assets/policy readiness, etc.)
• Compliance/Policy Agent automatically checks every draft against platform limits and brand/legal rules (content, links, media, accessibility), fixes or suggests compliant edits
• Optimization Agent (monitors post-publish performance, delivers compliant one-click tweaks—titles, thumbnails, captions, timing, and reposts, and feeds the learnings back to sharpen future plans)
• Insights & Learning Agent (Playbook)

2. Smart Editor – AI-Powered Creation and Remix Tools
• Accelerate content creation tailored for each social media channel, catching limit/format issues to prevent algorithmic throttling. auto-captioning, smart cropping, and auto-reframe for platform-perfect visuals in every format
• Suggest fast tweaks (title/thumbnail swap, first-comment hashtags, optimal time and repost windows) to boost reach. AI Hook Booster to rewrite the first 3–5 seconds of content for maximum attention.
• AI Thumbnail Generator and Scene Summarization to produce captivating visuals and automated chaptering.
• Clip Detection & Viral Moment Scoring to instantly identify highlight moments from long videos. Eye-Contact Correction, JumpCuts, and Background Music recommendation for polished, professional-quality posts in minutes.

3. Advanced Analytics & Trend Radar
• Competitive intelligence on how to grow your brand. Community and brand analysis for staying on top of the game
• Post-Performance Prediction with lift estimates and explainable drivers.
• Trend Radar and Hashtag Intelligence that track rising sounds, effects, and creator collaborations across platforms.
• Predictive Posting Windows that automatically schedule posts during your audience’s peak engagement hours.

4. Enhanced Dashboards and Executive Reporting – The Wall of Eyes
• Cross-Platform Analytics Dashboards covering TikTok, Instagram, Facebook, LinkedIn, YouTube, and Pinterest.
• Key Performance Indicators (KPI’s) for staying on top of your business
• Executive reports generation and exports at your fingertip

“From day one, Brandcil was built for the people who make social media work — creators, entrepreneurs, and small businesses,” said Elton Broudy, Founder and CEO of Brandcil. “This update takes everything we’ve learned and brings it together in one experience. With the Smart Editor, Trend Radar, and predictive analytics, we’re giving our users something no other platform offers — the ability to create and optimize content in real time, powered by AI.”

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

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Consensus Launches AI-Powered Demo Automation Platform Built for Modern Marketing Teams

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PRNewswire
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AI Solution UK Launches AI SEO Master and AI Keyword Research Tool for Affordable Modern Search Optimization

Consensus, the leader in AI-powered Demo Automation, announced Consensus for Marketing, a first-of-its-kind solution, empowering B2B teams to convert leads 24/7 with intelligent, interactive product experiences.

As buyers continue to research independently and make purchase decisions faster than ever, marketing teams face the challenge of engaging prospects effectively while capturing high-quality leads. Consensus for Marketing addresses this gap by expanding the platform’s marketing capabilities, enabling teams to create AI-powered interactive tours and video demos that are personalized, mobile-first, and on-demand.

Built on top of Consensus’s Demo Automation Platform, this enhanced offering provides marketers with the tools to put their products at the center of demand creation and customer expansion, reaching buyers when and where it matters most — on their website, in outbound campaigns, and at events.

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

“Interactive product demos are the number one resource that buyers want to see when they visit a website, so this is now table stakes for modern marketing teams as a new way to capture and drive top-of-funnel demand. With Consensus for Marketing, we’re giving marketers the power to bring their product to life for every visitor, instantly,” said Betty Mok, SVP of Marketing at Consensus. “Buyers want hands-on experiences, not just headlines. This product leverages AI to put that power directly in the hands of marketing teams quickly and easily. It’s a game-changer for driving engagement, pipeline, and measurable ROI.”

The enhanced platform introduces several capabilities designed to meet the needs of today’s marketing teams:

  • Mobile-First Experiences: Deliver interactive, responsive demos and tours that perform flawlessly across any device, giving buyers the freedom to explore.
  • Always-On Marketing: Empower websites to guide prospects through personalized product experiences anytime, anywhere, ensuring no lead is left behind.
  • Lead Capture & Intelligence: Seamlessly integrate with marketing automation and CRM platforms to instantly identify and qualify high-intent buyers.
  • AI Content Studio: Easily generate, update, and tailor video demos and clickable tours to campaign needs, reducing production time while keeping content fresh.

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

Consensus for Marketing ensures teams can deliver the “test-drive” experience modern buyers expect — boosting conversion rates, accelerating pipeline velocity, and giving sales teams higher-quality, ready-to-buy leads. Early users have already reported a 6-8x higher conversion rate with these Product Qualified Leads (PQLs) vs traditional MQLs, demonstrating the platform’s impact on both top-of-funnel lead generation and pipeline acceleration.

“Modern buyers want to do their own research before engaging with sales,” Mok added. “With this new offering, marketing teams can capture a new, higher-quality lead type: PQLs with prospects that are ready to have meaningful conversations with sales and ultimately be more likely to convert to pipeline.”

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Infosys Unveils AI-first GCC Model to Transform Global Capability Centers into Innovation Hubs

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PRNewswire
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Infosys Unveils AI-first GCC Model to Transform Global Capability Centers into Innovation Hubs

  • New specialized offering leverages Infosys Agentic Foundry, EdgeVerve AI Next platform, and Infosys Topaz™ to embed production-grade agentic AI across GCC operations, from setup to scale

  • Builds on Infosys’ proven track-record of over 100 engagements with local GCC entities across industries, including setting up and managing GCCs for enterprises such as Lufthansa Systems, zooplus, and Danske Bank

Infosys, a global leader in next-generation digital services and consulting, unveiled its AI-First GCC Model, a specialized offering that accelerates the setup and transformation of Global Capability Centers (GCCs) into AI-powered hubs for innovation and growth. This new offering empowers enterprises to reimagine their GCCs as strategic assets that drive innovation, agility, and competitive advantage in an AI-first world.

Building on its proven track-record of over 100 engagements with local GCC entities across industries, including setting up and managing GCCs for enterprises such as Lufthansa Systems, zooplus, and Danske Bank, Infosys’ new offering aims to address the challenges businesses face when scaling or transforming their GCCs. The AI-first GCC Model provides an end-to-end path from comprehensive setup support to scalable talent strategies and operational readiness, while enabling AI-led transformation with production-grade agents and a unified platform fabric.

Infosys’ new GCC model brings together Infosys Agentic Foundry for building and scaling reliable production-grade AI agents, EdgeVerve AI Next as the unified platform to run applied and agentic AI at enterprise scale, and Infosys Topaz™, to infuse AI-first services and solutions across the GCC lifecycle. It is further complemented by Infosys’ expertise in leveraging AI to transform business processes, making them smarter, faster, and more intuitive. Infosys recently helped establish a dedicated GCC for Lufthansa Systems which is developing future-ready and sustainable aviation IT products and data-driven solutions to improve aviation safety, efficiency, customer experience, and competitiveness by leveraging the generative AI capabilities of Infosys Topaz™.

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

By unifying technology, talent, and transformation capabilities, Infosys enables clients to turn their GCCs into scalable innovation engines that deliver global mandates and business growth imperatives. Key capabilities include:

  • End-to-end Setup and Transformation: Delivering fully integrated GCC lifecycle management, from strategy development and site selection to entity setup, recruitment, and operational launch.
  • AI-powered Innovation: Embedding enterprise AI capabilities across GCC operations, driving cost efficiency, faster time-to-market, and new business opportunities.
  • Future-ready Talent: Utilizing the Infosys Springboard digital learning platform and the world’s largest corporate university infrastructure to ensure a sustainable pipeline of skilled talent tailored to meet enterprise needs..
  • Right-fit Operating Models: Offering options such as Build-Operate-Transfer (BOT), assisted GCC builds, joint ventures, and partner-hosted models.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Stefanie Neumann, CEO, Lufthansa Systems, said, “Our collaboration with Infosys to establish a dedicated Global Capability Center has been a pivotal step in digital transformation journey of Lufthansa Systems. By leveraging their strong GCC and AI capabilities, we are building a future-ready innovation hub that enables our customers to enhance aviation safety, drive operational efficiency, and improve customer experience. This partnership empowers us to accelerate our vision for sustainable and intelligent aviation.”

Frans Woelders, COO, Danske Bank, said, “Two years into our collaboration with Infosys, our Global Capability Center has become core to the execution of our strategy and to our AI-first vision. By leveraging Infosys’ expertise, we have integrated AI into our software delivery lifecycle through tools like GitHub Copilot, developed reusable GenAI platforms to drive innovation and scalability across the bank, and are now deploying multiple GenAI use cases across business domains, including customer service, compliance, risk, and operations. This journey reflects our commitment to creating differentiated experiences for our customers and employees by building a truly AI-first bank, with Infosys playing a pivotal role in enabling this transformation.”

Hrishi Raj Agarwalla, Vice President – GCC research, Everest Group, said, “Infosys has outlined a GCC approach that brings together its technology partnerships, investments in AI and innovation labs, plug-and-play infrastructure, and broad talent model, to support enterprises across the GCC lifecycle, from setting up new centers to transforming existing ones.”

Satish H.C, EVP and Chief Delivery Officer, Infosys, said, “As enterprises transform GCCs into strategic hubs, Infosys is ready to accelerate their journey. Our AI-first approach, comprehensive GCC lifecycle capabilities, and global delivery excellence, uniquely position us to help clients unlock new value. Our dedicated GCC practice will offer speed, scale, and strategic depth essential for the next wave of enterprise transformation.”

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Press Ranger Partners with OtterlyAI to Enhance AI Search Visibility

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Globe Newswire
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Press Ranger Partners with OtterlyAI to Enhance AI Search Visibility

Collaboration aims to revolutionize AI search campaigns with a joint webinar on PR’s role in AI visibility.

Press Ranger, an AI-powered PR tool renowned for its impact in helping brands become more visible in AI search, has announced a strategic partnership with OtterlyAI, an award-winning AI Search Monitoring and Optimization Platform. This collaboration positions Press Ranger as OtterlyAI’s preferred PR partner for boosting AI search visibility, while OtterlyAI becomes the go-to partner for AI search visibility tracking within Press Ranger’s community.

The partnership underscores the growing importance of AI search in online marketing. As brands adopt Generative Engine Optimization (GEO) techniques to enhance their presence in AI-driven search results, traditional SEO tactics alone are proving insufficient. Press Ranger has helped hundreds of brands increase visibility on AI search by using PR to expand their brand’s content footprint. The alliance between Press Ranger and OtterlyAI aims to simplify the process for brands to succeed in AI search campaigns by integrating PR strategies with AI search monitoring.

To mark this collaboration, the two companies are hosting a joint webinar titled “How to Rank on ChatGPT: The Overlooked Power of PR” on Tuesday, November 18, from 9:00 AM to 10:00 AM PST. The session will explore how press coverage and earned media influence brand visibility in AI platforms like ChatGPT, Google Gemini, and Google AI Overviews.

Marketing Technology News: MarTech Interview with Julian Highley, EVP, Global Data Science & Product @ MarketCast

The webinar will feature live data from over 1 million AI citations, highlighting which content types are most frequently referenced and why news and editorial sources dominate AI responses. Attendees will learn how a strategically placed press release can significantly enhance AI search visibility.

“Press Ranger has a proven track record of securing placements in top publications that AI engines frequently cite,” said Steve Beyatte, CEO of Press Ranger. “By combining our media distribution power with OtterlyAI’s tracking capabilities, we provide a comprehensive framework for brands to leverage PR in AI search engines.”

OtterlyAI’s platform enables marketing professionals to automatically monitor their brand’s presence across evolving AI search platforms. Trusted by thousands of experts, OtterlyAI helps users turn visibility into actionable insights. Interested parties can start a free visibility audit of their brand at otterly.ai.

This partnership represents a significant step forward in the integration of PR and AI search strategies, offering brands a new playbook for enhancing their visibility in the digital landscape.

Marketing Technology News: Martech & the ‘Digital Unconscious’: Unearthing Hidden Consumer Motivations

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