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Kornit Digital Acquires PrintFactory to Accelerate the Industry’s Transition to Digital, On-Demand Production

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CaliberMind Launches B2B Marketing Mix Modeling, Unifying Tactical Attribution and Strategic Planning in One Platform

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Acquisition Strengthens Kornit’s Platform Strategy, Expanding Digital Access to the Global Screen-Printing Market and Advancing Connected Infrastructure Linking Demand, Production and Fulfillment

Kornit Digital Ltd. (“Kornit Digital”, “Kornit” or the “Company”), a global pioneer in sustainable, on-demand, digital fashion and textile production, announced its acquisition of PrintFactory, a global Netherlands-based technology leader of cloud-native workflow, color management and production automation software. The acquisition represents a strategic step in Kornit’s mission to accelerate the digital transformation of the global fashion and textile industry.

By integrating PrintFactory’s automation capabilities into its platform, Kornit strengthens its ability to connect demand generation, production workflow and fulfillment into one continuous digital ecosystem.

Digitizing the Global Screen-Printing Market
The global screen-printing market represents one of the largest production segments in apparel decoration, yet it remains heavily dependent on analog processes.

While demand for digital production continues to accelerate, many large producers still face significant operational barriers when transitioning from traditional production processes to digital manufacturing, including managing complex workflows, the need to coordinate multiple technologies, streamlining connectivity within IT environments, and overcoming the challenge of maintaining consistent production output across different production lines. PrintFactory’s technology addresses these gaps.

PrintFactory’s platform enables unified production workflow management and consistent output across mixed technology environments, allowing producers to operate with predictable results regardless of the technologies deployed on the production floor. By simplifying the transition to digital production, the acquisition supports Kornit’s strategy to penetrate the massive screen-printing market and unlock significant growth opportunities.

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Driving Efficiencies, Industrial Quality and Consistency at Scale
For global brands and large-scale production networks, workflow automation, production visibility, and consistent output are not just technical features, they are business requirements. The ability to run efficient operations and maintain repeatable results across multiple production sites and technologies is fundamental to operating distributed manufacturing environments.

PrintFactory’s platform helps producers streamline operations — from file preparation through final output — reducing media and ink waste, while enabling production environments that run faster, leaner and more consistently. These efficiencies are essential for producers transitioning from craft-based production environments to industrial digital manufacturing.

PrintFactory is currently deployed across thousands of production sites worldwide, supporting over 3,500 different models of printing and cutting devices. Its workflow and color management capabilities enable producers to maintain reliable quality across different locations, technologies, and production environments. These capabilities significantly enhance Kornit’s ability to support global brands and industrial producers operating large-scale on-demand manufacturing networks.

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Strengthening Customer Engagement and Market Reach
PrintFactory brings more than technology. The company contributes an established global install base, a community of more than 10,000 active users, including several of Kornit’s largest customers, strong industry credibility, and a talented team with decades of expertise in production workflow and color management.

By combining workflow automation, color management infrastructure and production technology, Kornit can better support customers designing and operating scalable digital manufacturing operations.

The acquisition further supports Kornit’s strategic shift toward consultative, solution-oriented engagement with customers across the production value chain.

Building the Digital Infrastructure for Fashion and Textiles
The acquisition represents another milestone in Kornit’s broader platform strategy. The Company is building a connected digital infrastructure that spans the entire fashion and textile production value chain.

Within this enhanced architecture:

  • KornitX enables demand generation, order orchestration and global fulfillment
  • PrintFactory provides the production workflow and color infrastructure connecting directly to the manufacturing floor
  • Kornit’s printing technologies, inks and data platforms power the manufacturing layer itself

Together, these capabilities create a continuous digital value chain connecting consumer demand to production and fulfillment through a single integrated infrastructure.

The global fashion and textile industry is moving in this direction, away from isolated production tools and toward connected digital manufacturing environments. Kornit intends to lead this transition.

“This acquisition is about more than workflow or color management,” said Ronen Samuel, Chief Executive Officer of Kornit Digital. “It is about building the digital infrastructure the fashion industry needs to move from analog production to agile, on-demand manufacturing. By connecting demand generation, production workflow and manufacturing through one integrated platform, we are accelerating the industry’s transition to a new production model.”

Erik Strik, CEO of PrintFactory, added, “For more than three decades, PrintFactory has focused on solving real workflow and production challenges for professional print operations. Joining Kornit opens an exciting new chapter. Kornit’s global reach, innovation culture and platform vision will accelerate our roadmap and significantly expand the value we deliver to customers worldwide.”

Transaction Details
Upon closing, expected in the second quarter 2026, PrintFactory will continue to operate from its headquarters in the Netherlands and will maintain its commitment to an open, technology‑agnostic platform, serving its existing global customer base and partners across all markets — including those outside textile and apparel printing, as well as those operating mixed technology environments. Terms of the transaction were not disclosed, and the acquisition is not expected to have a material impact on Kornit’s near-term revenue or earnings.

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CLEAR and Snappt Close the Identity Gap in Property Management

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CLEAR and Snappt Close the Identity Gap in Property Management

New case study shows how Snappt integrated CLEAR1 to strengthen applicant trust, help stop fraud, and reduce bad debt.

CLEAR, the secure identity company, and Snappt, an applicant trust platform built for the multifamily housing industry, released a new case study showing how Snappt integrated CLEAR1 into their Applicant Trust Platform to verify applicant identity alongside Snappt’s validation of financial qualifications giving owners and operators a more complete view of each applicant while keeping the leasing experience fast and renter-friendly.

Rental application fraud is rising across multifamily, and document checks alone are no longer enough. More than 93% of multifamily owners and managers report experiencing fraud, while increasingly sophisticated tactics — including AI-enabled identity fabrication — are making it easier for bad actors to slip through traditional screening processes. Snappt and CLEAR are helping the industry respond with a stronger, more connected approach to trust.

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In the first six months of the partnership, CLEAR1 helped Snappt identify more than 5,400 fraudulent applications and prevent more than $10 million in potential bad debt before those applicants reached leasing teams.

For leasing applicants, verifying with CLEAR is designed to be simple, predictable, and fast: those who have previously verified with CLEAR can confirm their identity instantly with a selfie. Applicants who are new to CLEAR complete a one-time setup—typically in under 90 seconds. From there, identity is confirmed through CLEAR1’s multi-layered approach: combining signals from biometrics, documents, and devices— and corroborating them against verified data sources behind the scenes.

“Rental fraud is evolving fast, and the industry needs stronger identity infrastructure to keep pace,” said Jon Schlegel, Chief Security Officer at CLEAR. “Our work with Snappt shows that high-assurance identity verification can help stop bad actors earlier in the process without creating unnecessary friction for legitimate applicants.”

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“Fraud is rising across multifamily, but renters shouldn’t pay the price,” said Kyle Nelson, EVP of Corporate Strategy & Growth at Snappt. “Our goal is to make it easier for applicants to move through the leasing process while giving operators greater confidence in who they’re approving.”

Last year, CLEAR announced a partnership with Docusign to strengthen security against identity fraud. This latest partnership with Snappt demonstrates CLEAR’s commitment to helping enterprises stay ahead of the evolving threat landscape by leveraging frictionless identity assurance that can be seamlessly integrated.

Snappt and CLEAR plan to continue expanding the integration across markets, with a focus on strengthening identity verification earlier in the screening process as fraud tactics continue to evolve.

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Gistvox Declares War on Synthetic Noise With New Web Audio Studio

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Gistvox Declares War on Synthetic Noise With New Web Audio Studio

The voice-first platform expands to the browser with two-minute human-only audio posts and a listener-controlled feed built for real presence—not algorithmic intrusion.

Gistvox announced the launch of its new web audio studio, providing users a professional browser-based suite to record, organize, and publish two-minute audio posts—called “Gists”—seamlessly across Web, iOS, and Android platforms.

The launch marks a strategic expansion for Gistvox beyond its mobile roots, sharpening the company’s core mission: providing a high-fidelity sanctuary for human speech in a digital landscape increasingly saturated by AI-generated content and intrusive algorithms.

“We are taking communication back to one of its oldest and most human forms: the voice,” said Abram Olmstead, founder of Gistvox. “No synthetic avatars. No algorithmic theater. Just a person, speaking—and a listener choosing whether to hear them. While the rest of the industry leans into automation, we are leaning into authenticity.”

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The Gistvox platform is built on three foundational pillars designed to return control to the user:

  • Human-Only Audio: A strict policy prohibiting AI-generated or synthetic published audio.

  • The Sacred Feed: A “Zero-Noise” Home Feed with no ads, no algorithmic injections, and no forced recommendations.

  • Listener Sovereignty: A separate discovery space allows users to explore the global conversation on their own terms, preventing “feed creep” from polluting the personal listening experience.

“Most platforms treat the feed as inventory to be sold to the highest bidder,” added Olmstead. “We treat it as sacred space belonging to the listener.”

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Key Features of the Web Audio Studio Launch:

  • Browser-Based Recording: Record and edit high-quality Gists directly from any desktop browser with no additional hardware required.

  • Two-Minute “Brevity” Format: Designed to capture insights and observations while preserving the intimacy and momentum of natural speech.

  • Global Synchronization: Full cross-platform parity allows users to start recording on mobile and manage their library on the web.

  • Organization Tools: New folder and categorization systems for users to manage audio content at scale.

As social platforms become more synthetic, Gistvox is making a deliberate, human-centric bet: that the human voice remains the most powerful medium for connection, and that the “social” in social media should be defined by people, not machines.

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Kornit Digital Brings Global Apparel Leaders Together to Accelerate the Move Towards On-Demand Production

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Angelfish Marketing Expands AEO and AI Search Services for B2B Brands

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Expanding Digital Infrastructure and Connecting Demand Generation, Production, and Fulfillment at Global Scale

Kornit Digital Ltd. (NASDAQ: KRNT “Kornit Digital”, “Kornit”, or the “Company”), a global pioneer in sustainable, on-demand digital fashion and textile production, announced more than 500 leaders from across the apparel ecosystem are gathering in Hollywood, Florida for Konnections 2026 – Powered by Kornit. With more than 20 sessions across three days, the event takes place at a pivotal moment as the industry explores how technology is enabling new levels of agility.

Now in its third year, Konnections has become a central global platform where the industry aligns around what comes next. The event brings together leading sports and fashion brands, digital platforms, creators, designers, software partners, fulfillment providers, investors, analysts, and media, all focused on one clear direction: accelerating the move from forecast-driven production toward agile, on-demand manufacturing.

Critical Inflection Point
The apparel industry is undergoing a structural shift. Demand is faster, more fragmented, and increasingly shaped by digital platforms and creators. Brands are seeking to reduce risk, improve margins, and operate more sustainably while delivering higher quality at greater speed. These dynamics are accelerating the transition toward demand-driven production, enabled by technologies allowing companies to respond in real time to market needs. Konnections highlights this shift not as a future vision, but as a transformation already underway across the global apparel industry.

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From Technology to Infrastructure
At Konnections 2026, Kornit will unveil Atlas MATRIX, a breakthrough system enabling true on-demand manufacturing across all major fabric types, including cotton, polyester, and blends, within a single platform. By enabling consistent retail-quality production across multiple fabrics, Atlas MATRIX removes one of the largest barriers preventing digital production at scale.

In parallel, Kornit is highlighting the strategic acquisition of PrintFactory, a cloud-native color and production platform enabling consistent output across digital and analog environments. PrintFactory expands Kornit’s ability to support large global producers transitioning from analog to digital production while enabling distributed production at scale. This acquisition strengthens Kornit’s infrastructure connecting demand generation with consistent global fulfillment and expands Kornit’s reach into the large global screen-printing market.

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Together, these innovations reflect a clear strategic direction: building a fully digital infrastructure linking demand generation with production and fulfillment, supporting scalable on-demand manufacturing globally. This integrated approach enables brands and demand generators to scale on-demand production globally with consistent quality, supporting faster response to market trends while reducing inventory risk.

“We are witnessing the gradual decline of traditional production models and the emergence of a new era in apparel manufacturing,” said Ronen Samuel, Chief Executive Officer of Kornit Digital. “Production is increasingly moving closer to demand, enabled by digital infrastructure connecting demand generation, production, and fulfillment. Konnections unifies the leaders shaping this transformation.”

A Global Ecosystem Connected
Konnections brings together the full value chain enabling this shift, including global brands, sportswear leaders, digital-native platforms, designers, and fulfillment providers. Participants represent a truly global ecosystem with attendees from the Americas, Europe, and Asia. Keynote speakers include Nick Beighton, former CEO of ASOS; Alex Saltonstall, CEO of the combined Printful and Printify platform; Daymond John, entrepreneur and Shark Tank investor; and senior leaders from global brands including Legends, Custom Ink, Redbubble, Zumiez, Life is Good, Nine Line, Grand Style, and additional industry innovators.

Innovation in Action
A central component of the event is the Konnections Solutions Showcase, where Kornit will highlight Atlas MATRIX, Apollo, and Presto MAX PLUS for roll-to-roll and technical applications, alongside innovations in materials, automation, and integrated production solutions. A broad ecosystem of partners will present complementary technologies spanning software, robotics, blank goods, and production automation, demonstrating how connected solutions enable faster, more efficient, and more responsive production environments.

Mr. Samuel concluded, “Konnections 2026 represents a defining moment for an industry increasingly shaped by agility, real-time production, and minimal waste. Konnections unifies the global ecosystem enabling this transformation and demonstrates how the future of apparel production is becoming a reality.”

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Artificial Intelligence Tools Shape Content Organization Strategies for Modern Business Websites

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Artificial Intelligence Tools Shape Content Organization Strategies for Modern Business Websites

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Content organization across business websites continues to evolve as artificial intelligence tools influence how information is structured, categorized, and delivered. Businesses across industries are examining how AI-driven systems affect navigation, content hierarchy, and search visibility, particularly as search engines and users demand greater clarity and relevance.

AI tools are increasingly used to analyze user behavior, identify content gaps, and recommend structural adjustments. These systems evaluate how visitors interact with pages, which sections receive the most attention, and where engagement declines. The resulting data allows businesses to reorganize content in ways that align with real-world usage patterns rather than assumptions.

Artificial intelligence has changed how content is organized across business websites. ”

— Brett Thomas

Traditional website structures often relied on static menus and predetermined categories. AI introduces a dynamic layer, enabling content groupings based on intent, topic relationships, and semantic relevance. Pages are no longer treated as isolated assets but as interconnected components within a broader informational framework.

Search engines have also adapted to these advancements. Algorithms now prioritize context, meaning, and authority rather than keyword frequency alone. AI-assisted content organization supports this shift by helping businesses create logical pathways between topics, ensuring that related information is clustered and easy to navigate.

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Internal linking structures have become more strategic as a result. AI tools can identify which pages should reference one another to strengthen topical authority. This approach improves both user experience and search engine comprehension, as crawlers can better understand how different pieces of content relate within a site.

Another key influence of AI is in content categorization. Automated systems can classify pages based on subject matter, intent, and relevance, reducing the need for manual tagging. This leads to more consistent organization across large websites, especially those with extensive archives or frequent updates.

User experience plays a central role in these developments. Visitors expect to find information quickly, without navigating through layers of unrelated content. AI-driven organization helps streamline this process by presenting content in a way that mirrors user expectations and behavior patterns.

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Personalization is also emerging as a factor. AI systems can adjust content presentation based on user history, location, or preferences. While the underlying structure remains consistent, the way content is displayed may vary, creating a more tailored experience for each visitor.

Content audits have traditionally been time-consuming, requiring manual review of each page. AI tools can now scan entire websites, identifying outdated information, redundant pages, and structural inconsistencies. This allows businesses to maintain a more organized and current digital presence.

Voice search and conversational queries have further influenced content organization. As users shift toward natural language searches, websites must adapt by structuring content in a way that answers specific questions clearly. AI assists in identifying these query patterns and aligning content accordingly.

Mobile usage continues to shape how content is arranged. Smaller screens require concise, well-structured information that can be accessed quickly. AI tools help prioritize content elements, ensuring that the most relevant information appears prominently on mobile devices.

Accessibility considerations are also impacted. AI can evaluate whether content is presented in a way that is usable for individuals with disabilities, suggesting improvements in structure, labeling, and navigation. This contributes to a more inclusive digital environment.

Data-driven decision-making has become central to website management. AI provides insights that guide content placement, hierarchy, and updates. Instead of relying solely on intuition, businesses can base organizational changes on measurable performance indicators.

Brett Thomas, owner of Rhino Web Studios in New Orleans, addressed the role of AI in shaping modern website structures.

“Artificial intelligence has changed how content is organized across business websites. Data now determines placement, hierarchy, and connections between pages. Structure is no longer static. It evolves based on how users interact with information and how search engines interpret relevance.”

The integration of AI into content management systems continues to expand. Many platforms now include built-in tools that suggest structural improvements, recommend internal links, and highlight opportunities for better organization. This reduces the complexity of maintaining large websites.

Content scalability is another area influenced by AI. As businesses grow, the volume of content increases. AI helps maintain order by ensuring that new pages fit within an existing framework, preventing disorganization and fragmentation.

Industry-specific applications are also emerging. Healthcare, legal, construction, and retail sectors each have unique content needs. AI tools can adapt organizational strategies to match these requirements, ensuring that information is presented in a way that aligns with industry standards.

Security and compliance considerations remain important. AI systems must be implemented carefully to ensure that sensitive information is handled appropriately. Content organization strategies must account for data privacy regulations and secure access controls.

The relationship between content and conversion continues to be studied. Organized content can guide visitors toward specific actions, whether that involves making a purchase, scheduling a service, or requesting information. AI helps identify which pathways are most effective and adjusts structure accordingly.

As technology continues to advance, the role of AI in content organization is expected to grow. Businesses that adopt these tools gain access to insights that were previously difficult to obtain. The ability to continuously refine structure based on real-time data represents a shift in how websites are managed.

Content organization is no longer a one-time task. It has become an ongoing process influenced by user behavior, search engine evolution, and technological innovation. Artificial intelligence serves as a central component in this transformation, shaping how information is structured and accessed across the digital landscape.

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LynkDog Launches the First Backlink Monitoring Platform Built for the AEO and GEO Era

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San Antonio Startup KeepTabz Launches with 15 B2B Customers, Aims to Disrupt $6B Competitive Intelligence Market

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As AI search reshapes B2B discovery, LynkDog protects backlinks and directory placements that power brand citations in ChatGPT, Perplexity, Google AI Overviews

LynkDog announced the official launch of the first backlink and directory monitoring platform purpose-built for Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) – the fast-emerging disciplines focused on brand visibility inside AI search engines like ChatGPT, Perplexity, Claude, and Google AI Overviews. The platform is already trusted by 500+ agencies and 5,000+ users, with over 1 million backlinks under active 24/7 monitoring.

The launch arrives at a pivotal moment for B2B marketing. According to recent industry data, 94% of B2B buyers now use AI during their buying process, 50% of software buyers begin their research inside an AI chatbot rather than a traditional search engine, and brands cited in AI answers convert at 14.2% compared to just 2.8% from traditional search – a 5x lift that has turned AI citation share into one of the most commercially valuable metrics in modern marketing.

“When we looked at the existing backlink monitoring tools, none of them were engineered for the reality marketing teams are living in today,” said Amit Jain, VP of Technology at LynkDog. “They were built to check if a link still returns a 200 status code. That’s table stakes. What teams actually need is a system that watches every backlink and every directory placement in real time, catches the silent changes – a dofollow flipped to nofollow, an anchor text edit, a stale G2 or Product Hunt profile – and surfaces them before they quietly erode a brand’s AI visibility. We built LynkDog from the ground up to protect that authority layer at scale.”

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A silent decay crisis
Industry analysis suggests that roughly 15% of B2B backlinks die every year – removed, noindexed, or silently stripped of their dofollow attributes. Directory profiles on G2, Capterra, Product Hunt, and similar platforms go stale just as quickly. In nearly every case, the brand that earned or paid for the placement is never notified. For marketing teams investing six or seven figures annually in link building and directory strategy, the result is a widening gap between the authority they believe they have and the authority AI engines actually see.

LynkDog closes that gap by monitoring every backlink and directory placement in a customer’s portfolio multiple times a day, tracking status codes, anchor text changes, rel attribute shifts, page removals, and directory listing health. Instant alerts via Email and Slack let teams recover placements before they compound into lost citations – and lost revenue.

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A new category, built on a new problem
LynkDog is positioning itself as the category-defining platform for AEO & GEO protection, a new discipline that sits at the intersection of traditional SEO, PR, and AI visibility strategy. Unlike legacy backlink monitors that focus narrowly on Google rankings, LynkDog’s platform is architected around a broader thesis: in the AI era, every third-party mention – a backlink, a G2 review profile, a Product Hunt launch page, a Capterra listing – is a potential citation source for an LLM answer. Monitoring all of them, together, is no longer optional.

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BFJ Digital Outlines the ‘Human-First’ Framework for AI Integration in Modern Marketing Teams

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BFJ Digital Outlines the ‘Human-First’ Framework for AI Integration in Modern Marketing Teams

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BFJ Digital, a digital marketing and transformation agency, has released a strategic framework for the integration of Artificial Intelligence (AI) within professional marketing and sales teams. Drawing on a recent analysis of IBM’s large-scale AI implementation, the agency shifts the conversation from simple automation to a “human-first” structural model that prioritises reinvesting efficiency gains into high-value human capital.

The 6% Gap: Lessons from Global AI Adoption
The framework follows an examination of IBM’s transition to its AI-led platform, which successfully handled 94% of routine interactions. While the move delivered significant productivity gains, it also highlighted a critical “6% gap” where work requiring judgement, nuance, and human connection began to degrade. BFJ Digital asserts that for marketing and sales leaders, this small percentage represents the area where brand trust and competitive advantage are actually built.

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“IBM’s experience shows that automating the repetitive 94% is the straightforward part,” states Dana Cano, a CRM Manager at BFJ Digital. “The harder question, and the one that separates good teams from great ones, is how you handle the remaining 6%. In marketing and sales, that 6% looks like a strategist recognising that a technically ‘successful’ campaign isn’t actually moving the business forward.”

A Management Blueprint for AI-Augmented Teams
Rather than viewing AI as a tool for headcount reduction, the BFJ Digital framework treats automation as a mechanism to amplify team effectiveness. The agency identifies that when teams are freed from repetitive reporting and data hygiene, they must be intentionally redirected toward strategy, relationship management, and creative direction.

The human-first framework outlines three non-negotiable leadership pillars for 2026:

•Strategic Reinvestment: Efficiency gains from automation should be reinvested into deeper training, additional strategic talent acquisition, or providing teams with more time for critical thinking.

•Radical Transparency: Successful AI rollouts require leadership to be upfront about what is being automated and how it evolves roles for the better to maintain internal trust.

•Protection of Human Value: Leaders must actively protect the work that requires humans, such as complex problem-solving and creative direction, ensuring AI acceleration does not replace human judgement.

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The Future of Professional Services
The agency suggests that as AI tools reach industry-wide parity, the true differentiator for businesses will be the quality of their human strategy. BFJ Digital currently implements these protocols across its own operations to ensure that rapid data analysis and campaign execution are always grounded in human experience.

“The teams that win over the next few years will not be the ones that automated the most,” Cano continues. “They will be the ones that understood what to automate, what to protect and how to lead people through the change with honesty and purpose.”

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Infobip at 20: the AI Era Is Here, and the Next 20 Years Start Now

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Infobip sets out why the shift to agentic AI represents the biggest opportunity in its history

Global AI-first cloud communications platform Infobip marks the 20th anniversary of its founding. With Infobip AgentOS now live and agentic AI moving from pilot to production globally, Infobip is entering its most significant chapter in its history.

Founded on 13 April 2006 by Silvio Kutić and Izabel Jelenić in Vodnjan, Croatia, with a €25,000 loan, Infobip bootstrapped to a billion-dollar valuation before its first external funding round in 2020, growing from core SMS into an omnichannel communications platform spanning more than 15 natively integrated channels.

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Infobip predicts agentic AI will define the next decade of customer communication with personal AI agents autonomously managing complex customer interactions, from booking travel to resolving billing issues, communicating directly with a brand’s own AI systems by 2030. Gartner® forecasts “that by 2028, AI agents will outnumber human sellers tenfold but less than 40% of sellers will report that AI agents have improved their productivity1”. Research, conducted in collaboration with MIT, shows just 5% of GenAI pilots currently deliver measurable business value, with fragmented data and disconnected systems the leading barriers2. Infobip’s AgentOS platform addresses this directly, unifying customer data across marketing, sales, and support into a single AI-native orchestration layer, enabling enterprises to deploy agentic AI at scale with human oversight built in.

As Infobip marks its 20th anniversary, the company remains focused on what it set out to do in 2006: use technology to bring people closer together. That focus has been shaped by two decades of continuous innovation and co-creating with customers and partners.

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Izabel Jelenić, Chief Technology Officer and Co-Founder of Infobip, said: “When we registered the company, the commercial court initially rejected the name. We had to explain to the clerk why we chose ‘info’ and ‘bip’, arguing that bip captured the beep of the now nostalgic Nokia 3310 message sound that everyone recognised. Making the case for ideas before the world catches up is what we have always done, and it is exactly what we are doing now with agentic AI.”

Infobip believes the businesses that will succeed in the agentic AI era are those that stay closest to the end customer. Infobip is also working to connect search intent directly to RCS for Business conversations, enabling real-time engagement from search results. By 2030, Infobip anticipates this kind of contextual, channel-native responsiveness will be the baseline expectation for every brand interaction.

Silvio Kutić, CEO and Co-Founder of Infobip, said: “Twenty years gives you perspective. We have watched communication evolve from SMS to omnichannel to conversational AI, and what is coming next is the most transformative shift yet. We’ve spent two decades building the global infrastructure and enterprise trust that the agentic AI era demands. We are entering our most ambitious chapter.”

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Retail Media 2.0: From Sponsored Listings to AI-Driven Commerce Ecosystems

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Retail Media 2.0: From Sponsored Listings to AI-Driven Commerce Ecosystems

What was retail media even up to five years ago?

Simply a channel where brands paid for sponsored products listings on Amazon. They optimized bids on search terms. They measured ROAS. The model was transactional, narrow, and largely confined to the bottom of the funnel, a digital version of paying for a better shelf position in a physical store.

That era is over.

Retail media in 2026 is something structurally different. It is a convergence of advertising, commerce intelligence, payment data, and loyalty infrastructure into a unified commercial operating system. The sponsored listing was the opening act. What’s emerging now is an AI-driven ecosystem where media spend, purchase behavior, payment financing, and loyalty rewards operate as a single, continuously optimizing feedback loop. And the financial scale of this transformation demands that every CMO, CRO, and Chief Digital Officer understand what it actually means because the strategic implications extend far beyond the marketing department.

From an ad channel to an operating system

The most consequential shift in retail media’s evolution is conceptual. As one industry leader framed it at Retail Customer Experience’s 2025 AI in Retail analysis: by 2026, retail media will evolve from being a pure ad channel to becoming the operating system of retail. Media, merchandising, and commerce data will finally operate as one system, giving retailers a unified engine to shape how products are discovered, priced, promoted, and sold.

This framing of retail media as operating system rather than ad channel explains why leading retailers are restructuring their entire commercial architectures around it. At CES in January 2026, executives from Target, Meta, and Oura described a retail media ecosystem that is about how data signals and technology support better decision-making.

AI as the commerce intelligence engine

At the center of retail media’s transformation is AI lies a decisioning engine that makes the entire ecosystem function at scale.

In 2026, AI is operating across every layer of the retail media stack simultaneously. At the inventory layer, it is dynamically managing ad placements across on-site search, off-site programmatic, connected TV, and in-store digital surfaces, adjusting in real time based on bid competition, product availability, margin targets, and audience signals.

At the audience layer, generative AI is enabling dynamic creative optimization at the SKU level, personalizing ad content based on a shopper’s loyalty profile, current cart contents, and purchase history, creating messaging that functions more like a relevant recommendation than an advertisement. At the measurement layer, AI-driven analytics are enabling real-time optimization against commercial outcomes rather than media efficiency metrics, closing the longstanding gap between ROAS and actual business performance.

Unfolding the role of FinTech in retail media

The most analytically underappreciated dimension of retail media 2.0 is the entry of financial services companies as major players in the commerce media ecosystem. This convergence of fintech and retail media is not a future possibility. It is a present-day restructuring.

PayPal moved in the same direction. With nearly 400 million active accounts generating purchase signals across the open web, PayPal’s advertising platform built on transaction data represents a commerce intelligence asset that no social platform can replicate. JPMorgan Chase’s move to allow advertisers to target bank customers based on card transaction history follows the same structural logic: payment data is the most commercially actionable behavioral data available, because it reflects actual purchase decisions rather than browsing behavior.

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

Loyalty as the commerce data flywheel

Retail media 2.0 is inseparable from the evolution of loyalty programs and understanding this connection is essential for any organization building a commerce media strategy.

First-party loyalty data is the raw material that gives retail media its targeting precision. CVS’s retail media network derives its competitive advantage from connecting loyalty membership data, pharmacy transaction records, and behavioral signals into a single audience intelligence layer. Kroger’s strength is built on decades of grocery loyalty data that connects product preferences to household demographics with a level of granularity no third-party data source can approach. Amazon’s retail media dominance, capturing approximately 79% of retail media investment alongside Walmart Connect’s 11%, together accounting for 89.5% of incremental 2026 spending is inseparable from Prime membership’s loyalty and behavioral data depth.

In 2026, the loyalty-to-media flywheel is accelerating. As the Research and Markets Consumer Loyalty Databook 2026 confirmed, the global loyalty market is expected to reach $93.2 billion in 2026, and the defining trend is loyalty being designed into payment flows rather than managed as a separate program. Earn-and-burn wallets are becoming the delivery mechanism for retail media value: a loyalty point earned from a purchase is also an advertising signal, a credit eligibility input, and a personalization trigger.

What CMOs, CROs, and CDOs Must Build Now

The commercial leaders who will extract disproportionate value from retail media 2.0 are those who stop treating it as an advertising channel with a new name and start treating it as commercial infrastructure, a data flywheel that connects media, payments, loyalty, and commerce into a single, continuously learning system.

That requires four operational investments.

  • First, a unified customer data.
  • Second, a cross-retailer orchestration capability.
  • Third, a clean room strategy.
  • Fourth, a loyalty-to-media integration roadmap.

The operating system of retail is being built now. The brands and retailers designing it will define the competitive terms for the decade ahead. Those still managing sponsored listings in siloed campaigns will find themselves financing a system optimized for someone else’s advantage.

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

OpenText Enterprise Data and AI Solutions to be Available on AWS European Sovereign Cloud

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PRNewswire
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OpenText Enterprise Data and AI Solutions to be Available on AWS European Sovereign Cloud

OpenText will offer customers a hybrid sovereign cloud architecture that supports regulated European Union organizations with secure, AI‑ready data platforms, complementing what is available in North America today

OpenText, a global leader in secure information management for AI, announced that it will make a number of its world leading enterprise data and AI solutions available on the AWS European Sovereign Cloud, a new independent cloud for Europe.

By making its hybrid sovereign cloud offering available via the AWS European Sovereign Cloud, Canada-based OpenText expands its ability to provide a hybrid sovereign cloud in Europe, giving customers the flexibility to leverage the cloud capabilities of AWS while keeping sensitive data and governance firmly anchored within European boundaries.

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OpenText™ Content Management, OpenText™ Documentum Content Management, OpenText™ Core Application Security and OpenText™ Core Service Management will be available on the AWS European Sovereign Cloud, further supporting OpenText’s growing European client base. OpenText’s solutions deliver structured, secure content management, making data ready for AI-powered analytics and automation that accelerate data-driven decision-making; while providing clients with the same security, availability, and performance they expect from AWS. This enables OpenText customers to meet stringent operational autonomy and data residency requirements within the European Union (EU).

“OpenText has spent years building trusted, secure content solutions for the world’s most regulated industries and regions including FedRAMP-authorized, IRAP-assessed, and Protected B-aligned deployments,” said Shannon Bell, Chief Digital Officer and Chief Information Officer, OpenText. “Making our solution available on the AWS European Sovereign Cloud brings that expertise to a sovereign cloud purpose-built for the European Union. Together with AWS, we are giving customers the confidence to innovate at scale without compromising on control.”

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

The AWS European Sovereign Cloud is a fully featured, independently operated sovereign cloud backed by strong technical controls, sovereign assurances, and legal protections designed to meet the needs of European governments and enterprises. The AWS European Sovereign Cloud infrastructure is entirely located within the EU and operates independently from existing Regions. Customers using the AWS European Sovereign Cloud will benefit from the full power of AWS including the same service portfolio, security, availability, performance, familiar architecture, APIs, and innovations such as the AWS Nitro System.

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GIBO WATCH Introduces Breakthrough in AI Filmmaking: Solving Continuity and Context at Scale

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PRNewswire
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GIBO WATCH Introduces Breakthrough in AI Filmmaking: Solving Continuity and Context at Scale

GIBO Holdings Ltd. announced a major technological advancement under its GIBO WATCH framework, addressing one of the most critical limitations in AI-generated filmmaking: continuity and contextual consistency across scenes.

As AI-generated video production rapidly scales, maintaining visual coherence—such as consistent character appearance, scene transitions, and narrative flow—has emerged as a fundamental challenge. GIBO’s latest proprietary system directly tackles this issue by introducing a suite of engines designed to ensure persistent context awareness, version traceability, and automated quality assurance throughout the content production lifecycle.

This development represents a significant milestone toward achieving production-grade AI filmmaking, where large-scale content generation can meet professional storytelling standards.

Solving the “Continuity Problem” in AI Video Production

Traditional AI video generation systems often struggle with maintaining consistency across frames and scenes. Issues such as changing character outfits, inconsistent environments, and visual artifacts have limited the scalability of AI-generated content for professional use.

GIBO WATCH introduces a new layer of intelligence that enables AI systems to “remember” and enforce continuity rules across the entire production process.

At the core of this advancement is GIBO’s proprietary Context-Retention Engine, which tracks key narrative and visual elements—including character attributes, styling, scene composition, and storyline progression—ensuring that generated content remains consistent from start to finish.

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

Integrated Engines Powering Next-Generation AI Filmmaking

The GIBO WATCH framework integrates multiple specialized components to deliver a fully controlled and scalable AI production environment.

The Version Control & Collaboration System allows creators and production teams to track iterative changes across scripts, scenes, and edits, enabling structured workflows and collaborative content development. This ensures that every version of a project can be reviewed, refined, and reverted with precision.

The Context-Retention Engine serves as the backbone of continuity management, preserving character identity, wardrobe, visual styling, and environmental consistency across multiple scenes and episodes.

The Automated QA Engine continuously scans generated content for visual inconsistencies and technical defects, such as background morphing, rendering artifacts, or scene misalignment. This system significantly reduces manual review requirements while improving overall production quality.

In addition, GIBO WATCH incorporates UGC Moderation Tools, enabling platforms to manage large volumes of user-generated content by automatically detecting policy violations, inappropriate material, and quality issues, ensuring a safer and more reliable content ecosystem.

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

Advancing Toward Industrial-Grade AI Content Production

With these advancements, GIBO is positioning GIBO WATCH as a critical infrastructure layer for the next generation of AI-driven content platforms.

By combining continuity control, collaborative workflows, and automated quality assurance, the system enables creators and platforms to produce high-volume, high-quality short-form content without sacrificing narrative integrity or visual standards.

This breakthrough is particularly significant for short drama ecosystems, where rapid production cycles and episodic storytelling demand both speed and consistency.

Redefining the Standard for AI-Generated Storytelling

GIBO believes that solving continuity and context is essential to unlocking the full commercial potential of AI-generated filmmaking. The introduction of these capabilities marks a transition from experimental AI content generation to scalable, production-ready storytelling infrastructure.

As the demand for short-form video continues to grow globally, GIBO WATCH is expected to play a central role in enabling platforms, studios, and creators to deliver consistent, high-quality narratives at scale.

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YouLinc Launches Referral Partner Generation Platform for B2B Professionals on LinkedIn

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Globe Newswire
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YouLinc Launches Referral Partner Generation Platform for B2B Professionals on LinkedIn

YouLinc Digital LLC announced the launch of its referral partner generation platform, a LinkedIn-based solution designed to help B2B professionals systematically identify and build relationships with complementary partners who serve similar client bases. The platform is now available to users across the United States.

The platform addresses growing challenges faced by revenue teams as traditional cold outreach becomes less effective. YouLinc provides a framework for establishing referral ecosystems, enabling professionals to foster repeatable, long-term business connections instead of relying solely on one-time leads.

“Most B2B professionals recognize that their best clients come through referrals, yet few have a structured system for cultivating these relationships at scale,” said Daryl Bowen, founder of YouLinc. “Our platform aims to turn referral partner development into a consistent, intentional process rather than leaving it to chance.”

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

YouLinc combines campaign automation, human-style messaging, conversation management, and analytics in a single workflow. Initial platform activity over the last 30 days shows a 21 percent acceptance rate for connection requests and a 16 percent reply rate from accepted connections, indicating the potential of LinkedIn as a relationship-focused platform rather than just a cold outreach tool.

The platform is intended for professionals in financial services, insurance, payroll, professional services, and business services; industries where trust, introductions, and long-term relationships often generate the highest-value opportunities. YouLinc is already being used by organizations including Paychex, Auris, InKind, Jimmy John’s, Global Payments, and Farmers Insurance.

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“One established referral partner can generate multiple introductions over time, creating more value than individual cold leads,” Bowen said. “YouLinc provides the infrastructure to develop these relationships consistently across LinkedIn.”

Customer Testimonial
Early users of the platform have highlighted its effectiveness in streamlining referral connections. A recent testimonial video from Erin Pyka of NeoWell demonstrates how one B2B professional expanded their network and established multiple referral partnerships through YouLinc.

By positioning referral partner generation as a distinct business function, YouLinc helps companies move beyond unpredictable referrals to a more measurable, repeatable, and scalable approach to growth. The platform is live and accessible to B2B professionals nationwide.

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DropsyneX Announces Global Expansion and Debut of New AI-Powered E-Commerce System

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prweb
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Rezolve Ai Appoints James House to Lead Reward, Strengthening Its Global AI-Powered Banking and Commerce Platform

ffgei

DropsyneX, a global B2B cross-border e-commerce solutions provider with over 10 years of industry experience, today announced the official launch of its newly developed integrated system, marking the company’s first public media release since its establishment.

Despite more than a decade of operational expertise in global e-commerce, DropsyneX has previously focused on internal development, supply chain optimization, and infrastructure building. With the completion of its new system, the company is now entering a new phase of global visibility and strategic expansion.

From 10 Years of Experience to a New Global Launch

With over 10 years of continuous operation in cross-border e-commerce, DropsyneX has built a strong foundation in:

Global supply chain management

Multi-country warehouse operations

Logistics and fulfillment systems

Drop shipping infrastructure

The newly launched system represents the culmination of years of development, combining all core capabilities into a unified one-stop platform designed for global scalability.

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

  • One-Stop E-Commerce Ecosystem

DropsyneX offers a fully integrated solution that includes:

Global warehouse network

Smart inventory and WMS systems

Efficient international logistics

AI-powered virtual livestream commerce

This one-stop ecosystem enables businesses to operate globally without managing inventory or complex logistics, significantly lowering barriers to entry for international trade.

  • Global Warehousing & Scalable Fulfillment

Leveraging its global warehouse infrastructure, DropsyneX provides fast and reliable order fulfillment across multiple regions.

Key advantages include:

Distributed inventory management

Faster delivery times

Stable supply chain operations

Scalable B2B wholesale support

  • AI Livestream Commerce Innovation

A core highlight of the new system is DropsyneX’s AI-powered livestream commerce solution, enabling:

24/7 automated product promotion

Increased conversion rates

Reduced operational dependency on manual teams

This innovation positions DropsyneX at the forefront of next-generation digital commerce.

  • Leadership Perspective

“Over the past decade, we have focused on building the foundation rather than public promotion,” said Allen Carter, CEO of DropsyneX.

“With the launch of our new integrated system, we are now ready to introduce our capabilities to a global audience and support businesses with a complete, scalable solution.”

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

JWX Partners with QuantumPath to Give Media Buyers Holistic Control Across Their Programmatic Ad Buys

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MTS Staff Writer
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JWX Partners with QuantumPath to Give Media Buyers Holistic Control Across Their Programmatic Ad Buys

JWX_logo

Exclusive agreement accelerates agentic ad buying across all programmatic inventory premium

JWX, the technology company connecting premium content, engaged consumers, and the advertisers who reach them, announced an exclusive agreement with QuantumPath, the agentic media planning and buying platform built for traders, by traders.

Combined with our publisher network and the behavioral signals it generates, advertisers will benefit from increased working dollars and stronger ROI.”

— John Nardone, CEO of JWX

Through this agreement, JWX now offers a multi-DSP agentic cross-platform orchestration layer–an independent agentic infrastructure that sits above existing buying platforms–helping agencies and advertisers dramatically reduce the amount of time spent manually building and optimizing campaigns and reducing errors across buying platforms. Through QuantamPath’s technology, JWX can now offer advertisers automated, granular control of their performance across leading integrated DSPs.

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

“Since the invention of the original JWPlayer, JWX has been committed to continuous innovation. Agentic technology is just the newest frontier,” said John Nardone, CEO of JWX. “For agencies and advertisers, Quantum Path delivers dramatically faster, more accurate campaign execution and control across every major buying platform, without having to replace a single tool they already rely on. Combined with our publisher network and the behavioral signals it generates, advertisers will benefit from increased working dollars and stronger ROI. The move comes at a pivotal time for the advertising industry as ad buying transitions from manual, UI-based execution to agentic automation. Today, traders spread campaigns across as many as five DSPs, a process that takes an entire day to input one campaign brief.”

QuantumPath is an agentic platform powered by AI-driven decisioning that automates buyer processes and reduces operational complexity. By providing a single orchestration layer that sits across major DSPs to normalize setup, QP enforces accuracy, ensures performance, and surfaces cross-platform intelligence that no individual DSP can provide. When combined with JWX’s network and granular insights, this agentic activation layer makes even the most sophisticated campaigns more efficient and effective.

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“In 2025, QuantumPath addressed agency requirements to orchestrate fully-agentic campaigns across multiple DSPs,” said Jeff Hirsch, CEO of QuantumPath. “Today, the platform supports more than 12 of the 14 critical media workflows identified in the IAB’s 2025 State of Data Report—spanning campaign setup, pacing, anomaly detection, optimization, and unified reporting. Since April 1, 2025, we’ve supported 233 campaign setups and governed 381 live campaigns across more than a dozen advertising platforms. Partnering with a company like JWX gives us the scale, resources, and global footprint needed to take this capability to the broader market.”

JWX empowers publishers to transform, distribute, engage, and monetize their storytelling at scale. Following the acquisition of Aug X Labs and its AI-assisted commercial video studio, publishers can now use JWX to strategically engage and monetize audiences through new narrative-driven media at greater scale and efficiency. With JWX, publishers can create premium, differentiated creative assets that they can monetize without damaging brand trust or their user experience.

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Infometry Launches INFOFISCUS Conversa for macOS to Interact with Enterprise AI Analytics Using Natural Language

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MTS Staff Writer
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Infometry Launches INFOFISCUS Conversa for macOS to Interact with Enterprise AI Analytics Using Natural Language

Infometry Inc logo

Infometry’s native macOS app enables executives to bypass SQL and dashboards, delivering real-time, AI-driven insights via plain-English data conversations.

Infometry, a global leader in AI-powered enterprise solutions, announced the launch of the native macOS version of INFOFISCUS Conversa. This release marks a pivotal shift in business intelligence, moving from static, slow-moving dashboards to real-time, AI-driven data conversations.

Business leaders need decisions in minutes, not days. Conversa on macOS removes technical barriers, allowing users to simply ask questions and get instant, decision-ready insights.”

— Nag Dinamani, CEO of Infometry Inc.

As enterprises migrate to modern cloud stacks like Snowflake, Databricks, and BigQuery, the “last mile” challenge remains: Decision Velocity. INFOFISCUS Conversa solves this by acting as an on-demand AI Data Scientist, allowing any authorized user to explore complex datasets using natural language.

The End of the Dashboard Bottleneck “Business leaders cannot afford to wait days for a report or struggle with complex SQL queries,” said Nag Dinamani, CEO of Infometry. “With the native macOS application, we are bringing conversational intelligence directly to the executive suite, enabling data-driven decisions at the speed of thought.”

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

Native macOS Integration for the Modern Workforce The macOS version is engineered for high-performance enterprise environments, offering:
–> Natural Language to SQL: AI automatically translates plain-English questions into optimized queries.
–> Root Cause Discovery: Instantly identify drivers behind revenue shifts or operational anomalies.
–> Narrative Insights: Receive contextual, executive-ready summaries alongside visualizations.
–> Enterprise-Grade Security: Queries execute directly within the customer’s secure cloud environment, ensuring data never leaves the enterprise perimeter.

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Availability & Limited Pilot Offer The macOS version of INFOFISCUS Conversa is available immediately. To celebrate the launch, Infometry is offering limited trial licenses for the first ten enterprise partners to accelerate their transition to AI-driven decision support.

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CannaSpyglass Advances ChatCSG with MCP Integration, Unlocking Real-Time Cannabis Data Inside AI Workflows

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MTS Staff Writer
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Qualytics Launches Data Control Layer to Govern Context for AI Systems

CannaSpyglass logo

New capabilities connect verified cannabis datasets with live internet insights—delivering faster, smarter answers directly inside chat environments.

CannaSpyglass, a leading provider of verified cannabis market data and operator intelligence, announced a major advancement to its ChatCSG feature with the introduction of Model Context Protocol (MCP) capabilities.

With MCP integration, ChatCSG can now connect directly to CannaSpyglass datasets while also incorporating relevant information from across the internet—bringing together structured cannabis data and broader context in a single, seamless experience.

This update enables users to ask complex, business-critical questions in plain language and receive immediate, actionable insights—without exporting data, switching tools, or manually compiling reports.

ChatCSG is designed to function as an intelligent layer on top of CannaSpyglass’ verified datasets, helping operators, investors, and service providers quickly extract meaningful insights from large volumes of data.

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

Users can now input prompts such as:
“Pull a list of multi-location cannabis operators in New York.”
“I’m in private equity—what should I prioritize when evaluating operators in this market?”

ChatCSG not only retrieves the relevant data but also interprets it—surfacing patterns, prioritizing insights by geography or business model, and highlighting what matters most based on the user’s intent.

The addition of MCP allows ChatCSG to integrate directly into AI tools and chat environments where users are already working. Rather than relying on static exports or disconnected dashboards, users can now interact with live CannaSpyglass data in real time—inside platforms like ChatGPT, Claude, Gemini and other AI assistants that support MCP.

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This means:
–No more manual data pulls or spreadsheet cleanup
–No more context switching between tools
–No lag between question and answer

Instead, insights are generated dynamically, combining verified cannabis datasets with broader market context to deliver a more complete picture.

CannaSpyglass developed ChatCSG’s MCP capabilities in response to growing demand for faster, more intuitive ways to work with cannabis data—particularly among multi-state operators, investors, and B2B service providers.

“Access to data is no longer the challenge—turning it into something actionable, quickly, is,” said [Tyler Works, Chief Growth Officer of CannaSpyglass]. “With ChatCSG and MCP, we’re removing the friction between question and insight. You can ask what you need in plain language, and the system does the work for you.”

By combining verified datasets, AI-driven interpretation, and real-time context from the internet, ChatCSG represents a shift from traditional data platforms toward a more interactive, intelligence-driven approach.

The result is a system that doesn’t just deliver data—but helps users understand what to do with it.

CannaSpyglass continues to invest in AI-driven capabilities that make cannabis market intelligence more accessible, more actionable, and more aligned with how modern teams operate.

The enhanced ChatCSG feature with limited MCP capabilities is now available to select CannaSpyglass subscribers.

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Syncari Named a Visionary in 2026 Gartner® Magic Quadrant™ for Master Data Management

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prweb
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Matrix Unveils Sidevine: AI Data Fabric & Intelligence Layer Designed to Eliminate Manual Entry Tax & Unlock Raw Data

Syncari Closes Series B as Fortune 1000 Enterprises Adopt Syncari Agentic MDM™ to Accelerate Data and AI Initiatives

Syncari, a leader in data unification and automation, has been named a Visionary in the 2026 Gartner® Magic Quadrant™ for master data management (MDM). This recognition highlights a shift toward real-time, automation-first MDM, where organizations move from fragmented, manual data reconciliation to continuously managed, trusted data across all systems.

Syncari, a leader in data unification and automation, announced that it has been named a Visionary in the 2026 Gartner® Magic Quadrant™ for master data management (MDM). We believe this recognition reflects a broader shift in how organizations approach master data in the era of real-time systems and AI.

“Most data architectures today are still fragmented. Different systems, different versions of data, and a lot of effort spent trying to reconcile everything after the fact,” said Neelesh Shastry, CTO of Syncari. “What’s changing is the ability to create a consistent, mastered layer across all those systems in real time. That means instead of constantly moving and fixing data, you’re actually managing it continuously so everything built on top of it, including AI, can rely on it.”

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

What organizations require now is not simply a system of record, but a system of trust: a continuously operating platform that enforces data quality, consistency, and policy across all systems, ensuring that data remains accurate, governed, and actionable wherever it is used, without reliance on manual intervention.

To this end, modern MDM platforms must deliver:

  • Stateful, multi-directional synchronization to ensure all systems operate from a shared, actionable data foundation
  • No-code orchestration that empowers both business and technical teams to move faster
  • Embedded governance and AI readiness so that analytics and autonomous agents can rely on trusted data

Syncari’s approach aligns with these priorities, supporting a growing customer base, from mid-market to Global 1000 enterprises, addressing complex data challenges that extend beyond traditional MDM. Purpose-built for this new paradigm, its agentic MDM platform continuously unifies, governs, and distributes master data in real time, enforcing policy at the point of action so every system, workflow, and AI agent operates on trusted, up-to-date data.

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

We believe this recognition reflects a broader shift toward automation-first, real-time MDM platforms that support both operational execution and AI readiness. Organizations modernizing their data stacks are moving beyond traditional hub-and-spoke architectures toward approaches that unify and govern data seamlessly across CRM, ERP, analytics, and other systems.

Syncari is committed to helping redefine the category, advancing a model that reflects the realities of modern data operations in partnership with customers, partners, and industry analysts.

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How Bad Data Breaks the Go-To-Market Engine

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Lisa Sharapata
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How Bad Data Breaks the Go-To-Market Engine

In B2B marketing, the problem rarely announces itself as “bad data.” It shows up as opportunity: high-intent signals, engaged accounts, prospects that appear ready to buy. The dashboards look strong. The pipeline looks active. The forecast looks promising. But beneath that surface, an invisible saboteur is at work: bad data masquerading as real sales signal.

And marketing is only the beginning of the fallout. The damage doesn’t stop at demand generation. It moves downstream into the core of the go-to-market engine, affecting sales execution, pipeline integrity, forecasting accuracy, and ultimately revenue. Bad data isn’t confined to marketing dashboards. It is a sales problem, and it is costing companies far more than they realize.

For revenue leaders and frontline sellers, the failure rarely appears labeled “data quality.” Instead, it shows up as another “high-intent” lead that never replies. Another outbound sequence that stalls. Another quarter that closes nowhere near what the dashboards predicted. A rep follows up on what looked like a hot account and gets ghosted again. With each dead end, trust in the system erodes.

When the Funnel Distorts Reality

The moment flawed data enters the pipeline, credibility fractures. Lead-to-account mapping struggles under the weight of outdated records, constant job changes, and enrichment platforms that disagree on basic firmographics. A global enterprise may be flagged as surging in intent, yet no one can determine which region, division, or stakeholder actually demonstrated interest.

Hesitation creeps in before outreach even begins.

As the motion continues, each handoff becomes more fragile. Sequences reach contacts who lack buying authority, prospects who have already made a decision, or individuals only loosely connected to the opportunity. Sales development representatives are not simply being ignored. They are chasing ghost signals: inflated intent spikes, mismatched personas, and timing misaligned with real buying cycles.

Over time, the human response is predictable. Reps stop trusting routed leads. They build their own prospect lists. They circumvent automated workflows. They rely on personal networks rather than the GTM infrastructure meant to support them. Marketing feels sidelined. Sales feels unsupported. What started as a data issue becomes a breakdown in cross-functional trust.

The Revenue Impact No One Sees at First

The cost of bad data compounds quietly. Advertising spend and outbound energy are directed at the wrong buyers at the wrong time. Reps devote hours to opportunities that never had genuine potential. Meanwhile, legitimate high-intent accounts slip past unnoticed.

Conversion rates begin to decline. Sales cycles lengthen. CRM dashboards still show healthy pipeline coverage, yet closed-won results trail projections. Quotas are not missed solely because deals fall apart. They are missed because the funnel itself was never aligned with authentic buying behavior. Forecasts drift further from reality each quarter.

Eventually, accountability unravels. Marketing defends campaign volume. Sales questions lead quality. Leadership struggles to determine which metrics still deserve confidence. Yet many organizations remain locked in this cycle because they have already invested heavily in platforms, people, and political capital. Abandoning the motion feels like conceding failure. So budgets continue flowing into a system that amplifies flawed inputs rather than correcting them.

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

Why Traditional Intent Signals Fall Short

Much of today’s third-party intent infrastructure was built for a different internet, one where human buyers performed most searches, clicks, and downloads. That environment no longer exists. Bots, crawlers, and synthetic traffic now generate a meaningful portion of online activity. Many of the “intent spikes” lighting up dashboards originate from machines, not buyers.

Outreach fueled by those artifacts sends sellers into conversations that were never real to begin with. Each failed interaction further weakens confidence in the pipeline.

At the same time, authentic buyers have migrated into harder-to-track environments. Research happens inside large language models. Peer recommendations unfold in Slack communities, private group chats, events, podcasts, and dark social spaces, not through repetitive website visits or form fills. Legacy intent systems largely miss these signals while continuing to overweight superficial digital activity.

This is not a minor calibration issue. It is structural. No incremental scoring adjustment can fix a model built on signals that no longer reflect how people buy or how modern sales teams should allocate their time.

Rebuilding the GTM Engine with Agentic Intelligence

The answer is not squeezing marginal improvements from broken intent data. It requires rethinking the architecture of the go-to-market engine itself.

Agentic marketing offers that shift. In this model, autonomous AI systems operate on real, current, buyer-level intelligence to execute the tactical work of marketing. Instead of relying on isolated, noisy signals, trustworthy insight emerges from synthesizing data across the full GTM ecosystem.

Cross-platform intelligence becomes critical. Teams can see how accounts engage across channels and prioritize outreach based on verified patterns of behavior rather than inferred clicks.

With this AI layer in place, marketers are no longer stuck patching flawed signals or chasing phantom demand. They can return to strategic fundamentals such as brand, positioning, and deep customer understanding, while automation handles execution grounded in validated data. Sales receives what it actually needs: signals it can trust, orchestrated intelligently and rooted in reality rather than noise.

In the next installment of this series, we will examine how to redesign the GTM engine around agentic intelligence, building a system capable of delivering genuine opportunity instead of misleading signals.

Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration?

Haast Raises $12M Series A to Solve the Compliance Bottleneck Stalling AI-Driven Enterprises

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PRNewswire
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Haast Raises $12M Series A to Solve the Compliance Bottleneck Stalling AI-Driven Enterprises

US-based startup Haast embeds organizational policy and risk frameworks directly into enterprise workflows, automating high-effort manual compliance processes at scale.

Haast, the leading AI-powered enterprise compliance engine, announced it has raised $12 million in Series A funding led by Peak XV Partners, with participation from DST Global Partners, Airtree, Aura Ventures, and Black Sheep Capital. The funding brings Haast’s total US capital raised to $17.05 million and will be used to scale its successful agentic flows, accelerate product development, and expand its global enterprise footprint.

As content production scales and AI adoption accelerates across marketing, product, and go-to-market functions, manual review processes are becoming critical operational bottlenecks. With the cost of content generation nearing zero and LLM search optimization becoming essential, corporate content volume has exploded by 8x to 10x. Legal and compliance teams cannot keep pace. According to Haast’s research, compliance and legal teams spend 70% of their time on manual, repetitive or otherwise automatable compliance tasks, resulting in significant delays.

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Unlike current market saturated AI point solutions and general-purpose assistants, Haast addresses the problem at the infrastructure level. Haast builds compliance infrastructure designed to automate regulatory and policy review inside enterprise workflows. With the use of AI agents, Haast embeds organizational policy, risk appetite, and approval logic directly into day-to-day tools, enabling enterprise teams to automate high-volume compliance work and move faster while maintaining compliance standards at a global, federal, and state scale.

“Enterprises shouldn’t have to choose between moving fast and staying compliant, and that tradeoff is exactly what manual review processes currently force on teams,” said Kunal Vankadara, cofounder and CEO of Haast. “We built Haast to transform compliance from a generic assistive checkpoint into an intelligent, automated engine embedded directly within global enterprises. By embedding policy and risk standards directly into the fabric of every workflow, we empower teams to move at AI speed with confidence, unlocking real efficiency and output gains without ever compromising governance.”

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Haast has achieved significant traction among Fortune 500 customers by delivering an AI-native, end-to-end workflow. The platform bridges the gap between frontline teams, such as content marketers and review teams while ensuring enterprise-grade AI interpretability and a strict, unalterable audit trail. Additionally, the company reports 4.5x revenue growth in 12 months and zero customer churn.

“We are seeing a major shift across large enterprises: a content explosion driven by LLMs alongside an increasingly complex regulatory landscape,” said Rohit Agarwal, Managing Director at Peak XV Partners. “In a world where every screen and ad is personalized, manual review is no longer just slow, it’s impossible. Haast is solving a multi-billion dollar bottleneck by turning compliance into an automated enabler. They are helping the world’s leading brands unlock the full potential of GenAI without the looming threat of regulatory friction or brand damage. We are excited to partner with Haast as they reinvent AI-native compliance.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Yobi Partners with Microsoft on Enterprise AI Model for Predictive Behavioral Intelligence

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Business Wire
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Yobi Partners with Microsoft on Enterprise AI Model for Predictive Behavioral Intelligence

Collaboration unlocks unprecedented access to AI-powered personalization for enterprises

Yobi and Microsoft technologies propel Wolverine Worldwide Inc.’s Merrell and Saucony brands to higher ROI and accelerated new customer acquisition across priority audiences

Yobi, the leading behavioral AI company, announced a strategic partnership with Microsoft to unlock predictive consumer intelligence for U.S. enterprises. Built on the Microsoft Azure cloud computing platform, Yobi has compiled the largest consented consumer database in the U.S., helping organizations ethically access vast behavioral datasets to develop predictive AI models without compromising consumer privacy.

Together with Microsoft, Yobi is leveling the playing field for U.S. enterprises by unlocking access to the scale of behavioral intelligence once reserved for the largest online advertising platforms. Yobi’s behavioral foundation model is changing how businesses use customer data to drive growth, placing privacy and consent at the center of its model.

“Understanding and predicting customer intent is a competitive necessity, but enterprises today face a data disadvantage,” said Max Snow, CEO and co-founder of Yobi AI. “As the leading cloud provider for AI, Microsoft Azure offers infrastructure and best-in-class tooling that allows Yobi to train proprietary 700B parameter models – unlocking for companies like Wolverine the ability to optimize sales without compromising privacy.”

The Yobi Effect on Enterprise Performance Advertising

Today’s dominant social and search platforms are optimized for late-stage, lower-funnel shoppers already close to purchase. While effective for conversion, this approach naturally prioritizes known, repeat, or already-in-market buyers, often resulting in spend that sustains demand rather than grows it. Yobi enables brands to reach net-new audiences earlier in the customer journey, converting previously untapped shoppers into high-LTV customers and driving actual incremental growth.

For Wolverine Worldwide, one of the world’s largest footwear designers and brand licensors, partnering with Yobi is delivering some of the strongest incremental returns its brands have recorded outside of paid search and social. In 2025, Wolverine’s Merrell and Saucony brands used Yobi’s AI to reach high-value shoppers at the top of the funnel, driving meaningful net-new customer acquisition and powering revenue that outperformed legacy channels. The results validate a straightforward thesis: personalization at scale can unlock outsized returns by reaching consumers that traditional channels miss.

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“Yobi’s Behavioral AI enables us to target the right audiences with precision. By supplementing our customer knowledge with enriched data, Yobi helps us personalize at scale — driving stronger engagement and measurable results across Wolverine Worldwide’s portfolio of brands,” said Chris Hufnagel, President and Chief Executive Officer.

Wolverine has ambitious targets for AI infrastructure, and the company is primed to leverage Yobi’s advanced behavioral AI on Microsoft Azure across its portfolio of brands for its largest campaign of the year.

AI is Only as Strong as the Data it is Trained On

Unlike LLMs, which are trained on vast amounts of text and optimized for language generation, Yobi’s behavioral foundation model uses real-world data like purchases, store visits, and marketing conversions to understand and predict consumer intent. This enables enterprises to personalize outcome modeling around the business metrics that matter the most to their priorities. For example, creating personalized online and in-store experiences, discovering the best next customer, and transforming shopper loyalty.

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“By combining Yobi’s consented behavioral data with Microsoft’s cloud and AI platform, organizations like Wolverine Worldwide are gaining critical insights that improve customer engagement and drive meaningful business growth,” said Judson Althoff, CEO of Microsoft’s commercial business. “This partnership reflects our commitment to building AI solutions that are both innovative and responsible, with trust and privacy at the core.”

First-party data is the foundation for customer insights, yet only the largest advertising platforms have been able to capture behavioral signals at scale—and often at a prohibitive cost for enterprises. Yobi is an equalizer. By creating privacy-preserving customer representations that surface intent signals without exposing personal details, Yobi grants businesses of all sizes access to predictive insights.

Microsoft customers can purchase Yobi through the Azure Marketplace to securely centralize their permissioned consumer data, enrich it with Yobi’s behavioral signals, and activate it in real time to drive measurable outcomes, from revenue growth to improved customer acquisition and higher return on ad spend.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

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