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Genpact and Parallel Web Systems Partner to Drive Tangible Efficiency from AI Systems

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Genpact and Parallel Web Systems Partner to Drive Tangible Efficiency from AI Systems

Integrating Parallel’s API helps Genpact automate and improve research workflows in insurance and sales

Genpact, an agentic and advanced technology solutions company recognized for its deep industry knowledge, process intelligence, and last-mile expertise, and Parallel Web Systems (Parallel), a pioneering Silicon Valley startup building the open web for AI, announced a partnership leveraging Parallel’s AI-native web agents and web search tools, available through application programming interface (API) technology, to transform how Genpact addresses enterprise challenges in information search and retrieval and web intelligence across business operations.

Applying Genpact’s differentiated domain expertise to Parallel’s AI-native web research API built for agentic workflows
Purpose-built to embed research capabilities directly into AI agents, automated workflows, and enterprise systems, Parallel is now part of the Genpact Enterprise Reference Architecture for AI systems requiring robust research infrastructure, including:

  • Faster, more consistent product research and price matching for contents claims in insurance: Genpact leverages Parallel’s advanced web research capabilities to automate line-item pricing for like-kind-and-quality (LKQ) replacements in contents claims settlements. Parallel’s Task API enables Genpact to transform manual price intelligence into Property Contents Pricing AI Assist, a scalable, rule-based AI system with agents for interpretation, research, and reasoning. Property Contents Pricing AI Assist is integrated into production with two of the top 10 U.S. property and casualty (P&C) insurers and has improved speed and consistency in LKQ settlements, including 55% touchless processing, 50% reduction in cycle time, and most importantly, indemnity accuracy through precise pricing.
  • Real-time business insights and account intelligence in sales: Genpact uses Parallel to automate research on clients and prospects for better outreach strategies. Parallel’s Task API helps Genpact replace manual investigation and static tools with Meeting Assist, an automated, real-time, account-based AI system comprised of agents for intelligence on accounts, financials, competitors, decision makers, and buying centers. In production with Genpact’s field organization, the deep search and high confidence enabled by Meeting Assist helps the sales team identify the best triggers and signals to inform outreach, increasing efficiency and scaling client engagement.

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Building trust in agents using real-time context and verification
Parallel’s API, which operates on the premise that the future of web browsing will be dominated by AI agents, enhances the ability to retrieve real-time, relevant, and highly accurate information from the web. Parallel’s innovative technology improves enterprise decision-making by significantly enhancing open web information searches and quality of results, including full source traceability and confidence scores.

“While automation attempts struggle with real-world complexity, especially in highly regulated industries, our partnership with Parallel replaces repetitive human effort with continuous agentic research that integrates seamlessly into enhanced decision-making systems,” said Sanjeev Vohra, Chief Technology & Innovation Officer at Genpact. “By combining Genpact’s industry and domain expertise with Parallel’s groundbreaking AI capabilities, we are poised to deliver exceptional value to clients.”

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While large language models (LLMs) are limited by their training data cutoff, Parallel enables Genpact to give its agents live context, or access to the short-term memory of the web including real-time news, regulatory changes, and market shifts. Additionally, Parallel’s API provides evidence-based outputs with clear source citations, which is critical to clients in highly regulated sectors such as finance, insurance, and healthcare.

“Parallel’s API are purpose-built for encoding complex business rules into automated web research workflows – a perfect pairing to Genpact’s domain and industry expertise,” said Parag Agrawal, Founder and CEO of Parallel Web Systems. “By providing Genpact with a single infrastructure layer that can research across the open web programmatically, we’re helping clients bring efficiency, precision, and confidence to those workflows.”

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DataVeil Version 5 Adds PostgreSQL Support for Enterprise Static Data Masking

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digna 2026.04 Expands Time-Series Analytics and Data Validation for Enterprise Data Platforms

DataVeil Technologies

Version 5 extends DataVeil’s database-agnostic static data masking solution to PostgreSQL and PostgreSQL-compatible platforms such as Amazon Aurora PostgreSQL and Google AlloyDB.

DataVeil Technologies has released DataVeil Version 5, adding support for PostgreSQL and extending its static data masking solution to one of today’s fastest-growing database ecosystems.

With Version 5, organizations can now use DataVeil to mask sensitive data in PostgreSQL and PostgreSQL-compatible platforms such as Amazon Aurora PostgreSQL and Google AlloyDB. The new support is delivered through the same database-agnostic DataVeil workflow already used for SQL Server, Azure SQL Database / Managed Instance, Oracle, and MySQL.

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DataVeil is designed for static data masking that permanently replaces sensitive data in a copy of a production database so the data can be used more safely in development, testing, QA, analytics, training, support and other non-production environments.

“PostgreSQL is continuing to gain momentum across enterprise environments, and organizations need safe, realistic data for non-production use,” said Terry Swiatkiwsky, Director of DataVeil Technologies. “DataVeil Version 5 brings enterprise-grade static data masking to PostgreSQL, making it easier for organizations to protect sensitive data without adding complexity to development, testing, and migration projects.”

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DataVeil Version 5 addresses the capabilities organizations prioritize in a static data masking solution, including:

  • Consistent masking across related data
  • Preservation of referential integrity
  • Realistic masked values for useful testing
  • Format-preserving masking
  • Sensitive data discovery support
  • Project-based masking definitions
  • Reusable masking components across multiple projects
  • Command-line automation for repeatable execution
  • A consistent user experience across multiple DBMS platforms

A key benefit of DataVeil is its database-agnostic design. Users work with the same masking concepts and project structure across supported databases, making it easier to standardize masking practices across mixed environments.

This also makes DataVeil especially valuable for organizations migrating to PostgreSQL. Existing masking definitions used for SQL Server, Azure SQL, Oracle, or MySQL can be easily switched to PostgreSQL, avoiding migration issues with tools that require a different approach for each database platform.

DataVeil has been in general release since 2013 and is focused on helping organizations protect sensitive data while keeping non-production data realistic and usable.

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BrightLocal launches AI Insights to help businesses navigate increasingly complex local search

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BrightLocal launches AI Insights to help businesses navigate increasingly complex local search

  • New feature consolidates search visibility signals across rankings, Google Business Profile reviews, citations and content

  • Built upon BrightLocal SOPs and local SEO playbooks, AI Insights is powered by 16 years of expertise

As local search becomes increasingly complex to manage across platforms, BrightLocal has launched AI Insights, a new feature designed to help businesses turn growing volumes of search data into clear, actionable next steps.

The launch comes as BrightLocal research shows consumers now check an average of six different review sites before choosing a business, raising the pressure on brands to maintain consistent, high-quality visibility across multiple platforms.

“This isn’t a UI refresh or a simple chatbot wrapper,” said Myles Anderson, CEO at BrightLocal. “AI Insights is the first step in our evolution. We are transitioning from a platform that shows you what happened, to one that tells you exactly what to do next and ultimately, a platform that puts local growth on autopilot.”

While access to data has increased, many businesses and agencies still spend hours manually reviewing rankings, reviews, listings and content to determine what to prioritize. AI Insights helps to address this challenge by analyzing performance across key local search signals and delivering prioritized recommendations on where to focus for the greatest impact, acting as a built-in, always on local search expert.

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Key capabilities of AI Insights

  • Prioritization engine: Moves beyond generic suggestions to rank actions based on ease, speed and potential impact on visibility.
  • Exclusive insights: Powered by 16 years of expertise, the engine uses local-specific playbooks rather than generic LLM logic.
  • Agile and robust validation: Instantly analyzes rankings, GBP health, citations, and content to identify advanced issues like “category dilution” that are often missed by human audits.

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Empowering small businesses and scaling agencies

AI Insights is designed to solve two distinct pain points in the local search ecosystem for small business owners, agencies and consultants. For small businesses, the feature simplifies complex SEO data into clear next steps. For agencies and consultants, it accelerates audits and supports more consistent, data-backed recommendations at scale that help build client trust.

“AI Insights really opened my eyes. I updated my meta titles and descriptions based on its suggestions, and my rankings jumped immediately. I’m now ranking around number 10 for my main keyword, where I was pages down before,” said Jeremy Raymond, Founder and CEO at East Texas Title & Loan.

By moving from reports to insights, BrightLocal is working toward a point where AI agents will not only recommend actions but help execute them to drive local growth autonomously.

“This tool serves as a vital backstop for my local marketing service. It reinforces my findings and provides highly specific, actionable ideas that I can turn into strong recommendations for my clients. It has become such a good feature that I would be genuinely disappointed if I no longer had access to it,” said Travis Staut, Founder and Lead Strategist at Scrappy Marketing.

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Topsort Integrates Google Ad Manager to Maximize Retail Media Revenue from Every Impression

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Magnite Unveils New AI-Powered Intelligent Assistance and Agentic Execution Capabilities, Empowering Media Owners and Buyers

Topsort secures $20M Series A Funding to Lead Post-Cookie Advertising Revolution

New Google Ad Manager integration increases advertiser demand for marketplace ad inventory

Topsort, an AI-native, auction-based retail media infrastructure company powering marketplaces and retailers worldwide, today announced the integration of Google Ad Manager (GAM) to help retailers capture more revenue with increased advertiser demand for their inventory.

As retail media programs scale, ad operations teams are responsible for managing increasing volumes of inventory across multiple placements and demand sources. To help manage this complexity, retailers and marketplaces are looking for new ways to maximize their ad revenue without adding to their operational challenges.

By integrating GAM Topsort partners can improve monetization by expanding advertiser demand beyond Topsort’s core auction with ease. GAM immediately provides retailers access to additional external demand to fill their inventory.

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“Retail media is becoming a core revenue driver for marketplaces,” said Regina Ye, CEO of Topsort. “adding GAM ensures our customers can capture value from every impression, helping them improve yield, increase efficiency, and build a more resilient monetization strategy.”

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Maximize Revenue from Every Impression

Through this workflow, retail media teams can:

  • Expand demand beyond retail media: Tap into GAM open auction and direct deals, including non-endemic advertisers.
  • Improve overall monetization performance: Capture incremental revenue and strengthen yield across all your placements.
  • Built for the AI-Native Future of Retail Media: GAM integrates directly into existing retail media infrastructure, supporting fast deployment and minimal operational overhead.

The launch reinforces Topsort’s mission to build AI-native retail media infrastructure that helps enterprise marketplaces maximize inventory value, scale monetization efficiently, and operate with greater control and transparency.

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New Research Finds AI Is Now Foundational to Modern Marketing

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New Research Finds AI Is Now Foundational to Modern Marketing

NetApp Logo

AI’s Impact on Marketing Doubles as Teams Move from Experimentation to Embedded Use

NetApp® , the Intelligent Data Infrastructure company, announced its participation in a new marketing research study conducted by Callan Consulting, a Silicon Valley executive marketing consulting firm, joining 18 B2B and B2C technology companies to examine how AI is reshaping modern marketing organizations, marking a clear shift from early experimentation to embedded, enterprise‑wide adoption.

According to the State of AI in Technology Marketing 2026 report, based on in‑depth interviews with CMOs and senior marketing leaders at the participating companies, the study finds that AI is becoming rapidly integrated across core marketing teams and workflows—from content development and research to campaign optimization and analytics. As adoption deepens, data quality, accessibility, and governance are emerging as critical priorities.

“AI doesn’t change what great marketing is supposed to do. It just removes the excuses for not doing it,” said Gabie Boko, Chief Marketing Officer at NetApp. “When your data is clean, accessible, and trusted, your team stops managing chaos and starts making decisions. That’s when you get to the work that actually moves the business.”

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The report highlights several notable changes since Callan Consulting’s prior study dated November 2024, including the emergence of “Born in AI” companies that built marketing organizations around generative AI from day one, the rapid expansion of AI use cases across the marketing lifecycle, and the growing importance of new disciplines such as Answer Engine Optimization (AEO) as customers’ buying patterns shift toward AI‑driven interfaces.

While enthusiasm for AI adoption is high, marketing leaders also point to ongoing challenges. Many respondents cite difficulty measuring AI’s direct return on investment, with benefits more often seen anecdotally in speed, output, and cost avoidance rather than traditional performance metrics. The findings also reinforce the danger of overreliance on AI and the importance of maintaining human oversight, governance, and input as AI‑generated content becomes more prevalent.

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“What’s changed most dramatically since our last study is that AI is no longer treated as a bolt‑on or side project,” said Ed Callan, Chief Executive Officer at Callan Consulting. “Marketing leaders now view AI as a baseline expectation, similar to analytics or marketing automation. At the same time, we’re starting to see signs of overreliance on the tools, with leaders recognizing that human judgment, creativity, and discipline are more important than ever.”

Looking ahead, marketing leaders expect deeper AI integration over the next 12 months, including increased use of agentic AI, consolidation of marketing technology stacks, and continued evolution in how brands engage both human buyers and AI‑driven decision systems.

“In an era of AI-driven content, marketers struggle to drive visibility and differentiation. Now with answer engines fast becoming the new way of search, it’s an opportunity to put content back in the strategic seat—intelligent content that is structured, accurate, trustworthy, and accessible to everyone,” said Jen Jones, CMO of Siteimprove and one of the contributors to the report. “Marketers will still need to be successful in traditional SEO, and AEO is the expanded discipline that moves beyond rankings and into answer engines.”

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Mundial Media Appoints Matt Weisbecker as Chief Revenue Officer

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Mundial Media Appoints Matt Weisbecker as Chief Revenue Officer

Mundial Media

Seasoned revenue executive joins to lead commercial expansion of Cadmus AI platform

Mundial Media, an AI-powered advertising platform purpose-built to deliver cultural precision at scale, announced the appointment of Matt Weisbecker as Chief Revenue Officer.

Matt’s track record of building strong revenue organizations speaks for itself

Weisbecker brings deep experience scaling revenue in multicultural media. At My Code, a five-time Inc. 5000 company, he served as Chief Revenue Officer and was a driving force behind the digital advertising growth that put leading brands in front of the country’s fastest-growing consumer audiences.

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“The underinvestment in tools designed for multicultural audiences has created a significant and largely uncaptured market opportunity,” said Weisbecker. “Cadmus AI addresses that gap with a level of precision and scalability that has not previously existed in this category. Having evaluated this platform firsthand, I am confident in its capacity to become the definitive infrastructure layer for culturally intelligent advertising.”

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In this role, Weisbecker will direct Mundial Media’s national sales organization, own revenue strategy, and lead the commercial scaling of Cadmus AI, the company’s proprietary machine learning engine trained on more than three years of compounded cultural data. The platform provides brands with nuanced contextual targeting across a premium publisher network, enabling access to consumers in brand-safe, high-quality environments.

Weisbecker’s career spans more than 30 years of senior revenue leadership across media and advertising technology, including tenures at AOL, Epsilon, GumGum, Amazon Media Group, and NBCUniversal.

“Matt’s track record of building strong revenue organizations speaks for itself,” said Tony Gonzalez, CEO and Co-Founder of Mundial Media. “He understands how to translate platform capability into commercial outcomes. Having him in this seat full-time is an exciting moment for this company.”

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MERGE Launches Humanity Suite: A New Operating Model for the AI-Empowered Agency

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MERGE Launches Humanity Suite: A New Operating Model for the AI-Empowered Agency

Merge_Logo_Primary_E-Green_RGB.png

MERGE announced the launch of the Humanity Suite, an orchestrated system of six offerings designed to turn the noise of an AI-driven world into clarity for brands and their audiences. Incorporating the themes of MERGE’s AIgency, the Humanity Suite is the new operating model for the AI-first era, scaling human-centered marketing.

Responding to a Changing Industry
The marketing landscape has reached an inflection point where the demand for speed and hyper-personalization often challenges opaque performance models and fragmented and disjointed technology. A Qualtrics 2026 Consumer Experience Trends Report states personalization remains a differentiator, with 64% of consumers preferring tailored experiences alongside data transparency and data control. Yet organizations are struggling with over-automation and poorly tuned AI that can treat people as data points rather than whole humans.

“The AI paradigm shift is elevating the human touch as the differentiator it should’ve always been while simultaneously democratizing and scaling tech-enabled opportunities. The Humanity Suite is MERGE’s answer to the future of whole human marketing,” said Stephanie Trunzo, MERGE CEO.

This new operating model is designed for the speed and scale of AI to clear the noise, allowing a more dynamic connection with your audience. By automating the ordinary, we empower humans to focus on the extraordinary: scaling human empathy, creativity, and judgment to create genuine moments that are meaningful and personal. The name Humanity Suite embodies MERGE’s belief that data-driven intelligence must work alongside humanity.

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“At Baptist Health, we believe innovation is only valuable if it improves the human experience,” said Alex Piña, Director of Marketing Technology at Baptist Health. “As healthcare navigates a massive transformation, we need partners who are architects of the future, not just occupants of the present. MERGE has consistently proven their ability to blend rigorous strategy with deep empathy, and the vision behind Humanity Suite confirms they are the right partner to help us navigate an AI-first world.”

Solving Core Business Pressures
MERGE reengineered its value delivery to address specific industry bottlenecks through an integrated system.

  • Three foundation offerings allow brands to architect their MarTech for context-aware consumer journeys, design for personalization at scale, and translate data into next-best-action decisions.
    • MarTech Contextual Platform: Unifies disconnected architectures and enables AI-ready activation, architecting data and workflows so existing investments work together.
    • Adaptive Creative System: Replaces production bottlenecks with scalable, data-aware, and AI-enabled creative systems and human-led creativity designed to deliver audience-of-one personalization at scale.
    • Predictive Decision Engine: Moves CRM from reactive outreach to predictive, proactive, next-best-action intelligence that anticipates disengagement and drives growth, trust, and lifetime value.
  • Three impact offerings optimize insights across a spectrum of shifting contexts and channels, reorient customer journeys into rich moments, and evolve with AI using tools and capabilities that speak directly to consumers.
    • Strategic Growth Accelerator: Replaces static annual planning with an integrated, optimized, AI-powered commercial roadmap that adapts strategy in real time.
    • Whole Human Experience Orchestrator: Reorients flat journeys into meaningful moments, balancing automation and empathy so experiences feel contextual, trusted, and human.
    • Applied AI Blueprint: Moves AI from pilot purgatory into safe, governed, and scalable production with ethical compliance and oversight built in from the start.

A Partnership Rooted in the Future
The Humanity Suite is engineered to activate and integrate seamlessly within a client’s existing ecosystem, leveraging MERGE’s partnerships with platforms like Adobe, Google, Optimizely, Salesforce, and Sitecore.

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The Humanity Suite is available now, serving as the foundation for MERGE’s mission to help brands make a difference at the intersection of health, wellness, and happiness.

“In the CPG [consumer packaged goods] space, the battle for relevance is won by those who can personalize at scale without losing their brand authenticity and purpose,” said Saverio Spontella, Chief Commercial Officer at Land O’Frost. “As a third-generation, family-owned business, our partnerships are incredibly important to us. We chose to partner with MERGE because they don’t just react to market shifts; they anticipate them. The philosophy behind Humanity Suite aligns with where we take our brand, leveraging advanced technology not to replace human connection but to deepen it.”

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2X AI Innovation Lab: New AI Visibility Index Finds 96% of B2B Companies Are Invisible in AI Discovery

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Focus Is the Moat: Cytation AI Outbuilds the Platforms on Trust by Refusing to Do Anything Else

2X_Logo_2025-02.png

New benchmark reveals most brands appear only after buyers already know them, signaling a fundamental shift in the B2B discovery funnel

2X, a subscription-based go-to-market services partner for B2B organizations, released findings from the 2026 2X AI Visibility Index, revealing that most companies are effectively invisible during the earliest stages of AI-driven buyer discovery. The research was conducted by the 2X AI Innovation Lab, a research and development initiative focused on operationalizing artificial intelligence across go-to-market functions. Led by Executive Director Will Waugh, the AI Innovation Lab develops practical frameworks, tools, and workflows that help B2B organizations translate AI capabilities into measurable revenue outcomes.

The inaugural index analyzed 70 B2B companies to understand how brands appear across generative AI environments used by buyers to research vendors and solutions. The findings reveal a striking gap: only 4.3% of companies maintain a healthy discovery funnel where their brands appear in early-stage buyer questions. The remaining 95.7% appear primarily in queries where buyers already know the company name, meaning they are largely absent from the AI-generated answers increasingly shaping vendor shortlists.

As generative AI becomes a primary research tool for business buyers, companies that fail to appear in AI-generated answers risk losing influence before a sales conversation ever begins.

“CMOs are waking up to a hard truth: you can’t manage what you don’t show up for,” said Lisa Cole, Chief Marketing, Product & AI Officer at 2X. “AI is increasingly shaping perception, trust, and vendor shortlists. If your brand isn’t present in those conversations, you’re effectively invisible to a growing portion of the market.”

The 2X AI Visibility Index benchmarks how often B2B brands appear in generative AI responses across the buyer journey, from early discovery questions to purchase validation queries. The index measures both a company’s technical readiness for AI discovery and the authority signals that influence whether AI systems recommend a brand in response to buyer prompts.

The index is powered by GravityScan™, a proprietary AI visibility audit developed by the 2X AI Innovation Lab. GravityScan™ evaluates how brands appear in AI-driven discovery environments by analyzing visibility across discovery, evaluation, and purchase-stage queries. The analysis also assesses technical and authority signals—including structured data, third-party citations, and review ecosystems—that influence whether AI systems recommend a brand.

The 4% Funnel: Most Brands Are Invisible in Discovery

Data from the 2X AI Visibility Index shows that most organizations now operate with what researchers describe as an “inverted discovery funnel.” Instead of appearing early when buyers are exploring solutions, most companies surface only in later-stage queries where the buyer already knows the brand or category.

This pattern suggests that many organizations are losing influence during the most important stages of the buying journey when needs are being defined, categories are being explored, and vendor shortlists are being formed.

“Artificial intelligence is fundamentally reshaping how B2B buyers discover solutions,” said Will Waugh, Executive Director of the 2X AI Innovation Lab. “General brand awareness is no longer enough. If AI systems don’t recognize your brand as an authoritative answer to buyer questions, you risk losing opportunities before sales teams even know the deal exists.”

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Structural Blind Spots Undermining AI Visibility

The research also identified technical and authority gaps that suppress AI visibility, including:

  • Missing or incomplete structured data
  • Blocked or unmanaged AI crawlers
  • Weak third-party review ecosystems
  • Limited independent citations across the open web
  • Unmanaged community sentiment on platforms such as Reddit

In several cases, billion-dollar enterprise brands scored near-zero visibility for basic category-level queries, demonstrating how quickly traditional market leadership can fail to translate into AI-driven discovery.

“AI models don’t care about org charts or market caps,” Waugh added. “They respond to clarity, consistency, and corroboration across the open web. Companies that don’t adapt their digital presence for AI risk handing narrative control to competitors and sometimes to their critics.”

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Four Stages of AI Visibility Maturity

The 2X AI Visibility Index segments companies into four stages of AI visibility maturity based on readiness, authority, and discoverability:

  • Authority Leaders — companies with strong technical readiness and deep authority signals that consistently appear in AI-generated answers.
  • Strong Contenders — organizations with strong visibility and readiness but less comprehensive authority signals.
  • Paradoxical & Niche Players — companies with fragmented brand authority or strong visibility within narrow domains.
  • Emerging & Lagging — organizations with significant gaps in both readiness and discoverability.

Together, the findings point to a new strategic reality for B2B marketing leaders: the buyer journey is increasingly shaped by AI-generated answers long before a human interaction occurs.

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eGain Announces Enterprise AI Platform Connectors for Copilot, Claude, Gemini, and Cursor

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eGain Announces Enterprise AI Platform Connectors for Copilot, Claude, Gemini, and Cursor

eGain

eGain announced new enterprise AI platform connectors that integrate Microsoft Copilot, Anthropic Claude, Google Gemini CLI, and Cursor with eGain AI Knowledge Hub, the company’s AI-powered knowledge management platform. The connectors allow organizations to ground these AI platforms in a single, governed knowledge source, so every AI model, agent, and agentic developer environment can use accurate, up-to-date knowledge rather than fragmented and outdated sources.

Studies from MIT and leading analyst firms show that enterprise AI initiatives fail at high rates when they lack a governed knowledge foundation. When any AI system pulls from fragmented, ungoverned sources, it produces contradictory outputs, creates compliance exposure, and stalls AI adoption.

Open knowledge architecture that works with any AI or IT platform

The new AI platform connectors are part of the eGain AI Knowledge Connector family, a broader integration architecture that unifies and governs enterprise knowledge. They give enterprises a single governed knowledge foundation that works across any AI vendor, platform, or tool. This matters especially as enterprises move from AI that answers questions to AI that takes actions. When agents act autonomously on behalf of employees and customers, ungoverned knowledge doesn’t just produce wrong answers, it causes agents to amplify those errors across every interaction, creating operational and compliance failures that are costly to reverse.

The eGain AI Knowledge Connector family supports Model Context Protocol (MCP), the emerging standard for connecting AI agents to enterprise systems. eGain offers pre-built connectors for leading agentic developer environments including Windsurf, VS Code, and Kiro, and supports any additional MCP-compatible AI platform or agentic framework through its open MCP architecture. Unlike basic retrieval approaches, eGain delivers certified answers with source citations, giving every connected model, agent, and agentic IDE (integrated development environment) access to verified, traceable knowledge. The same governed knowledge that powers customer service and employee productivity can now inform how enterprise software is built, not just how it is used.

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With the new eGain AI Knowledge Connectors, enterprises can now:

  • Give Microsoft Copilot a trusted knowledge foundation so employees across every workflow get accurate, policy-compliant answers and actions without switching tools.
  • Ensure every Claude deployment, from custom applications to full agentic workflows, operates from the same governed enterprise content, delivering consistent, compliant answers and actions.
  • Connect Google Gemini across Workspace, Cloud, and developer tools to a single governed knowledge source, so every team in your Google ecosystem gets accurate, consistent answers and actions.
  • Keep AI-assisted development in Cursor and other leading agentic IDEs, including Windsurf, VS Code, and Kiro, grounded in governed enterprise knowledge, so engineering teams move faster without losing traceability or compliance.

“In a world where AI is no longer just answering questions but performing assured actions on behalf of employees and customers, the quality of your knowledge determines the quality of your AI,” said Ashu Roy, CEO of eGain. “These new enterprise AI platform connectors allow organizations to apply one trusted knowledge foundation across Copilot, Claude, Gemini, Cursor, and whatever comes next.”

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According to Gartner, “Enterprises recognize modern knowledge management as a prerequisite for implementing successful generative AI or agentic AI solutions to improve customer service, employee productivity, and customer experience.”1

Connecting Knowledge Across Your Entire IT Ecosystem

eGain AI Knowledge Connectors are organized into four categories that work together to unify, govern, and deliver enterprise knowledge across any platform:

  • Content Connectors gather content and signals from systems such as policy repositories, CRM knowledge, SharePoint, Confluence, and conversation archives so teams do not have to rebuild what they already have.
  • Data Connectors provide direct access to enterprise data, delivering the right information to the right people and systems in real time, so every interaction has the context it needs to produce accurate, trusted answers, without the overhead of traditional integration pipelines.
  • Experience Connectors deliver trusted answers to the places where work happens, including Salesforce and SAP desktops, collaboration systems, ticketing tools like Zendesk, contact center platforms such as Amazon Connect, Genesys, and Talkdesk, and agentic developer environments like Cursor.
  • Process Connectors integrate identity, access rules, AI model choices, and business policies so AI remains accurate, compliant, and within approved boundaries. They ensure that answers and actions consistently follow enterprise rules and required steps, even when delivered by different AI models, and provide an auditable confirmation trail for every interaction.

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Preciso launches Ultima for Publishers Plugin

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MTS Staff Writer
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Preciso launches Ultima for Publishers Plugin

WordPress tool will enable publishers to increase revenues using brand-safe, native advertising placements

Preciso has launched a timely new plugin, Ultima for Publishers, which enables publishers to generate additional revenues from their websites.

Ultima for Publishers is designed for sites running on WordPress, the most widely-used publishing platform. The Ultima for Publishers WordPress plugin enables publishers to choose where to place native advertising units on their sites, and monetise them with reputable, brand-safe ads which respect the user experience – with no gambling or adult advertising content, and no pop-unders or intrusive banners.

Ultima is Preciso’s targeted native advertising solution. It uses machine learning technology to create personalised campaign creatives and automatically embed them within web pages to combat banner blindness and drive meaningful engagement at scale.

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In tests, Ultima has been shown to deliver a CTR of 2.1% (vs 1.84%  Industry Average), an engagement rate of 65.94% (vs 60.03% Industry Average) and an Average Session Duration of 3m 46s (vs 2m 40s Industry Average).

“It has become increasingly difficult for publishers to monetise their traffic in recent times,” said Preciso CEO, Piero Pavone. “This solution offers a simple way for the huge number of publishers running on WordPress sites to increase their revenues by as much as 50%, through native advertising that adds to the user experience, rather than interrupting it – all managed by Preciso.”

Consumers have steadily become less tolerant of disruptive ads when browsing or shopping online, and are increasingly blind to more traditional advertising banners. As a result, the value of native advertising has never been greater, and the global market for native is set to reach $400bn this year.

A massive 43.6% of all websites on the internet use WordPress, including more than a third of the top million sites. More than 500 new sites are built on WordPress every day.

Marketing Technology News: Feature-Rich to Functionally Effective: Adjusting your Martech Strategy

Ultima for publishers is available now. Any publishers interested in unlocking a new revenue stream to their site without complexity should simply install Ultima Publisher directly from their  WordPress plugin and start monetising their content immediately.

Preciso is Europe’s fast-growing adtech company, powered by its flagship Smart-Bid technology and delivering client campaigns in just a few easy clicks. Through use of actual customer journey and machine learning, Preciso technology predicts customer behaviour to calculate which display ad placement to buy in a real-time bidding marketplace – boosting relevance and conversion and putting the power back into the hands of advertisers. Founded in Italy by Piero Pavone, Preciso has expanded over the last few years and now has teams in six countries.

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Multimedia Plus Launches MMP AI Studio, Turning Product Content Into Training and E-Commerce Videos in Minutes

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MTS Staff Writer
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Multimedia Plus Launches MMP AI Studio, Turning Product Content Into Training and E-Commerce Videos in Minutes

Multimedia Plus | INCITE | NRF 2026 Retail's Big Show Exhibitor

New platform eliminates video production bottlenecks, enabling brands to scale training and product content without studios, crews, or long lead times.

Multimedia Plus (MMP), creators of the mobile-first platform INCITE®, today announced the launch of MMP AI Studio, an AI-powered platform that transforms product content into on-brand microlearning and e-commerce videos from simple text briefs. Backed by decades of award-winning video production experience, MMP AI Studio combines creative excellence with AI-driven speed and scale.

Retail brands tell us that they need more video content, faster, and they can’t scale their production budgets to match the pace of their product cycles. MMP AI Studio changes the math entirely.”

— David Harouche, CEO and Founder of Multimedia Plus

Designed for both associate training and digital commerce, MMP AI Studio enables retail brands to generate polished video content for store teams, product pages, and marketing channels in minutes instead of weeks.

MMP AI Studio fundamentally changes the economics of video production, compressing scripting, production, and post-production into a single, streamlined workflow.

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MMP AI Studio addresses two of retail’s most persistent challenges: keeping frontline associates trained on rapidly changing product assortments and producing high-quality product content fast enough to support modern e-commerce.

Traditional video production requires scripting, talent scheduling, studio time, and post-production – a process that can take weeks and cost thousands of dollars per video. MMP AI Studio compresses that entire workflow into a single platform where users enter a product brief and receive a finished, captioned video with an AI-generated virtual presenter, animated product visuals, and a professionally scored music bed.

For example, a retailer can take a new product launch, input key features and positioning, and instantly generate both an associate training video and a customer-facing product video for digital channels.

“Retail brands tell us the same thing: they need more video content, faster, and they can’t scale their production budgets to match the pace of their product cycles,” said David Harouche, CEO and Founder of Multimedia Plus. “MMP AI Studio changes the math entirely. A training manager or e-commerce team can go from a product brief to a finished, multi-language video in the time it used to take just to schedule a shoot.”

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“Our goal has always been to help retailers move with speed and precision while staying connected to what makes each brand unique,” added Jodi Harouche, President and Chief Creative Officer. “MMP AI Studio takes that further than ever before – it puts broadcast-quality video production directly in the hands of the people who know the products best, whether they’re training associates or engaging customers.”

Key capabilities of MMP AI Studio include:

– AI-Generated Scripts and Video Plans: Describe a product and objective, and MMP AI Studio writes, sequences, and produces the video automatically.

– Virtual Presenter Library: A diverse roster of AI-generated on-camera hosts, rendered in brand-specific environments and uniforms.

– Multi-Language Video Generation: Instantly translate, re-voice, and re-render videos in multiple languages with one click.

– Role-Play and Scenario Videos: Two-actor conversational training videos for customer interactions, selling techniques, and compliance scenarios.

– E-Commerce Video Generation: Instantly create product videos for PDPs, digital campaigns, and social channels from existing product content.

– Full Script Control: Edit scripts in-browser, export for review, and regenerate segments without re-rendering the entire video.

– Flexible Delivery: Publish directly to INCITE®, download, export to editing tools, or deliver via SFTP and API.

Unlike generic AI video tools, MMP AI Studio is purpose-built for retail, combining product knowledge, brand standards, and frontline execution into a single platform that serves both training and commerce.

MMP AI Studio is available immediately to select retail partners, with broader rollout planned later this year. The platform is offered as both a standalone product and a premium add-on to INCITE®.

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Trust3 AI Announces Apache Iceberg Integration to Enable Unified Data and AI Governance

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MTS Staff Writer
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Prosper Insights & Analytics Says AI’s Next Competitive Battleground Is High-Quality, Forward-Looking Data

Trust 3 AI Home

Apache Iceberg integration enables streamlined access, scalability, and reliability for modern enterprise data management and analytics.

Trust3 AI has launched a new Apache Iceberg integration designed to help organizations streamline data management and elevate their analytics capabilities.

The addition of Apache Iceberg integration marks a pivotal milestone for our platform and our customers, enabling the creation of robust, future-proof data environments”

— Don Bosco, CTO/Co-Founder

The release of this native integration coincides with this week’s Iceberg Summit, reinforcing Trust3 AI’s ongoing commitment to advancing open table formats and modern data architectures.

As data volumes continue to grow, organizations face mounting challenges in maintaining performance, governance, and accessibility.The new Apache Iceberg integration allows Trust3 AI users to seamlessly read, write, and manage massive analytic datasets. By adopting the open standard of Apache Iceberg, data teams can avoid vendor lock-in, ensure transactional consistency, and scale their data operations with complete reliability.

In complex data environments, organizations often struggle with fragmented policies, inconsistent masking, and siloed auditing across multiple engines. Trust3 AI addresses these challenges head-on with a suite of practical governance patterns purpose-built for Apache Iceberg.

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By centralizing policy definition, context, enforcement, audit, and access workflows, Trust3 AI enables enterprises to define governance once and enforce it everywhere across batch, streaming, and AI-powered workloads.

This integration significantly accelerates the time-to-insight for enterprises across various industries. Trust3 AI’s integration with Apache Iceberg introduces features such as self-service access with automated workflows, unified context that brings together metadata and lineage from diverse catalogs, and dynamic policy translation for natural language queries. In short, the integration enables data engineers and analysts to now run high-performance queries across complex datasets without worrying about data corruption or manual schema evolution, while maintaining compliance. This frees technical teams to focus on driving strategic business value rather than managing complex governance mandates. infrastructure.

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Built-in compliance, continuous audit monitoring, fine-grained control over service accounts, and consistent policy enforcement across engines ensure that both data products and AI agents can access trusted datasets safely and efficiently.

These governance patterns empower organizations to automate most access requests, tag and propagate sensitive data classifications, and establish real-time, policy-aware controls making Iceberg not just open, but also trusted and AI-ready for enterprise-scale analytics.

This week’s Iceberg Summit serves as a key gathering for data practitioners to discuss the evolution and future of open data architectures. Trust3 AI recognizes the significance of such industry events and remains committed to supporting open standards like Apache Iceberg, which empower organizations to simplify data pipelines, improve analytics performance, and maintain flexibility as their data needs evolve.

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H2O.ai appoints Ingram Micro as Distributor for ANZ, Strengthening its AI Fulfilment Leadership

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Business Wire
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H2O.ai appoints Ingram Micro as Distributor for ANZ, Strengthening its AI Fulfilment Leadership

h2o_logo

H2O.ai, a pioneer in sovereign AI and global leader in agentic, predictive, and opensource generative AI and machine learning, announced a new distribution agreement with Ingram Micro Australia and New Zealand. Under the agreement, Ingram Micro becomes a key route to market for the full H2O.ai portfolio across Australia and New Zealand, including the H2O opensource platform, h2oGPTe, Document AI, and enterprise grade Agentic AI solutions.

This strategic collaboration expands H2O.ai’s reach in the region and reinforces Ingram Micro’s position as ANZ’s largest technology distributor and a leader in AI fulfilment. By incorporating H2O.ai’s proven, Kagglewinning AI stack into its rapidly growing ecosystem, Ingram Micro empowers partners to deliver secure, sovereign, and production ready Generative and Agentic AI solutions. All offerings will be discoverable, quotable, and transactable via Ingram Micro’s Xvantage™ AI enabled platform.

Built on the foundations of trust, transparency, and enterprise grade security, Xvantage™ consolidates software, infrastructure, and cloud marketplace capabilities into a single intelligent hub. By pairing H2O.ai solutions with leading infrastructure vendors and cloud services, Xvantage™ allows partners to deliver in country AI outcomes with unprecedented speed and efficiency.

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Jamie Lim, Vice President, Partnerships, Asia Pacific at H2O.ai, said:

“Partnering with Ingram Micro combines our expertise in AI platforms and solutions with their extensive partner ecosystem, enabling organisations to accelerate AI adoption at scale. Together, we can bring practical, production ready AI capabilities to more businesses and drive meaningful outcomes across industries in Australia and New Zealand.”

Hope McGarry, Vice President and Chief Country Executive, Ingram Micro Australia, said:

“We’re proud to collaborate with H2O.ai and bring genuine opensource Generative and Agentic AI leadership to our channel. This collaboration enables our partners to design and sell recurring AI services that may drive long term business impact, while helping address critical industry trends such as data sovereignty and ethical AI deployment.”

John Brown, Senior General Manager, Strategy, AI and Emerging Vendors, Ingram Micro Australia, added:

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“H2O.ai is a crucial addition to our AI portfolio. Their opensource foundation, enterprise grade performance, and commitment to responsible AI align strongly with the needs of Australian and New Zealand organisations amid increasing scrutiny around AI ethics, sustainability, and governance. Our partners can now deliver production AI solutions faster and more profitably than ever before.”

Brook Gyde, General Manager, ASG and Cloud, Ingram Micro New Zealand, added:

“H2O.ai’s focus on sovereign and responsible AI aligns strongly with what New Zealand customers are looking for – transparency, control, and clear business outcomes. When combined with the capabilities of our Xvantage™ platform, this relationship helps partners design, quote, and transact AI solutions more efficiently, while creating differentiated cloud and managed services that deliver long term value.”

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Amperity Expands Australian Presence with AWS and Strategic Investment in Talent

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MTS Staff Writer
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Amperity Expands Australian Presence with AWS and Strategic Investment in Talent

Amperity is the AI-Powered Customer Data Cloud | Amperity

Expansion builds on rapid customer growth and rising demand across retail, financial services, and travel in Australia

Amperity, the leading AI-powered Customer Data Cloud, announced a major expansion of its Australian operations, including the availability of its platform in the AWS Asia-Pacific (Sydney) and Asia-Pacific (Melbourne) Regions, along with continued investment in regional talent. The move follows strong market momentum and growing demand from enterprises that require local data residency, governance, and scale.

Amperity’s footprint in Australia has doubled over the past year, driven by customer wins with leading brands including JB Hi-Fi, Endeavour Group, and Accent Group. As these organisations scale across channels and brands, they rely on Amperity to unify customer data across business units, enabling trusted personalisation, analytics, and activation.

To support this growth, Amperity is now available in both the AWS regions in Australia. By operating within these AWS regions, Amperity enables organisations to keep customer data resident locally while maintaining the performance, scalability, and flexibility required for real-time customer intelligence.

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This approach allows enterprises in industries such as airlines, banking, insurance, and telecommunications to unify, govern, and activate customer data within Australia, while supporting advanced analytics, AI-driven use cases, and customer engagement at scale – helping organisations meet local data residency and privacy requirements.

“Australia has become a proving ground for some of our most complex customer data challenges, from strict data residency requirements to large-scale, multi-brand environments,” said Billy Loizou, AVP and General Manager at Amperity. “Expanding our team and making Amperity available in AWS regions in Australia allows us to support customers more closely on the ground and help them turn trusted customer data into real business outcomes.”

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Alongside this expansion, Amperity has continued to invest in its local team in Melbourne. The company recently hired Matthew Yip as a Customer Solutions Architect and Uday Gupta as a Services Delivery Manager. These additions strengthen Amperity’s ability to support customers locally as adoption grows across industries and use cases.

The Australian expansion is part of Amperity’s broader strategy to help enterprises move beyond fragmented customer data and build a unified, AI-ready foundation. This enables organisations in the region to personalise, analyse, and act on customer data at scale. Amperity will host its flagship event, Amplify, on May 6 in New York City, bringing together marketing, data, and technology leaders to explore how AI and customer data are driving measurable business outcomes.

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Criteo Expands GO with Full Self-Service Access to Its AI-Powered Performance Platform

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

Criteo

New offering enables cross-channel, full-funnel performance campaigns in as few as five clicks
Former Google Head of Shopping Courtney MacConnell joins Criteo to lead GO

Criteo , the global commerce intelligence platform, announced the expansion of its GO platform with full self-service access for small and mid-sized businesses (SMBs) and growth-stage commerce brands. Criteo GO enables advertisers to independently create an account, enter billing details, and launch campaigns in as few as five clicks. By expanding access to Criteo’s AI-powered performance capabilities, the company can scale to a wider advertiser base while delivering measurable outcomes across the shopper journey.

Designed to simplify activation and dynamically allocate budgets across channels, Criteo GO unifies display, video, native, and social within a single campaign environment. The platform automatically optimizes spend to drive the best outcome, while built-in generative AI creative tools produce and adapt ad formats, including video, to maintain consistent, high-performing messaging across channels.

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GO campaigns have already demonstrated strong performance in the market. Campaigns that include social activation deliver more than 20% higher return on ad spend (ROAS) compared to traditional configurations. This performance has contributed to increased advertiser investment and lower churn, reinforcing Criteo GO’s role as a durable growth driver for the company.

“As a growing brand, speed and creativity are critical to how we show up in the market,” said Eric Prum, Co-Founder & Co-CEO at Very Great, a digitally native consumer product company behind brands including Wild One, W&P, and Courant. “Criteo GO’s AI-powered capabilities allow us to move from idea to execution quickly, helping us stay agile, make smarter decisions, and drive meaningful cross-channel, full-funnel results without adding complexity.”

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As consumer touchpoints fragment across platforms, channels, and devices, many legacy tools remain confined to closed ecosystems, limiting reach and transparency for marketers. Criteo GO addresses this challenge by harnessing the scale of its global commerce data, including 740 million daily shoppers, $1T in annual transactions, and 5 billion product SKUs to help brands engage high-intent consumers wherever they discover and shop online.

“Performance marketing is being redesigned in real time and marketers can no longer afford to operate in channel silos,” said Todd Parsons, Chief Product Officer and President of Performance Media at Criteo. “With GO’s new self-service capabilities, we’re opening our platform to a broader set of advertisers, giving growing brands access to AI-powered, cross-channel, full-funnel performance capabilities at scale, while unlocking a meaningful, multi-year growth opportunity for Criteo.”

Criteo GO’s Onboarding Agent is available today, marking a significant step forward in advancing Criteo’s agentic capabilities. By forecasting results and automatically configuring key parameters,

the Onboarding Agent reflects Criteo’s vision of an AI-powered ecosystem where campaigns are not only automated but intelligently guided from launch to scale.

To support the expansion of Criteo GO globally, the company has also appointed Google veteran Courtney MacConnell as Vice President of Commercialization for GO. Most recently Head of Shopping at Google, MacConnell brings significant operating experience scaling Google’s Performance Max solution, as well as a proven track record of driving AI-powered commerce outcomes for brands. In this role, she will work alongside newly appointed Vice President of GO Product Christopher Towl to lead the next phase of Criteo GO’s growth and evolution.

“We’re excited to welcome Courtney to Criteo at such a pivotal moment for GO,” Todd Parsons added. “We’ve built strong momentum with this offering, and with Courtney and Christopher at the helm, we’re well-positioned to scale execution globally and make Criteo GO a cornerstone of how brands achieve performance outcomes across channels.”

Criteo GO’s self-service capabilities are now available in the U.S. and U.K., with plans to expand to other markets later this year.

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Segra Launches SkyVoice, a Unified Communications Platform Built for Modern Business Communications

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PRNewswire
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Segra Launches SkyVoice, a Unified Communications Platform Built for Modern Business Communications

Segra, one of the nation’s largest independent fiber network companies, announces the launch of SkyVoice, a unified cloud communications platform designed to simplify business communications by bringing voice, collaboration, and contact center capabilities together in one intelligent environment.

SkyVoice gives businesses a unified communications platform that simplifies how teams connect and collaborate, allowing users to access the platform whether they’re in the office or remote through integrated desktop and mobile apps. By bringing essential tools and intelligent features into one centralized platform, it delivers a more seamless, efficient, and modern communications experience. The launch expands Segra’s communications portfolio with a more unified offering built to support evolving business needs.

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“Businesses are trying to manage more communication channels than ever, but many are still doing it across disconnected systems,” said Justin Brinker, Senior Vice President, Strategic Technology Solutions at Segra. “SkyVoice brings those functions together in one environment, making it easier to manage voice, collaboration and customer interactions while giving businesses the reliability and visibility they need to operate efficiently.”

Moving communications to the cloud also gives businesses greater flexibility to adapt as needs change. By reducing reliance on legacy hardware and separate communication tools, organizations can simplify management, avoid costly equipment upgrades and keep technology current while supporting employees and customers across locations.

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SkyVoice supports direct integration with widely used business platforms, including Salesforce, Microsoft Teams, Zendesk, NetSuite, and HubSpot, allowing organizations to connect communications directly into existing workflows and customer systems.

Because SkyVoice is delivered over Segra’s owned fiber infrastructure, customers also benefit from high-bandwidth, low-latency performance that supports clearer voice quality, minimal jitter, and more consistent communications than services dependent on public internet routing.

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Inspiro Announces Strategic Expansion into Comprehensive Business Process Services to Drive Next-Generation Enterprise Efficiency

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Globe Newswire
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Inspiro Announces Strategic Expansion into Comprehensive Business Process Services to Drive Next-Generation Enterprise Efficiency

Inspiro logo

Altius Inspiro (Inspiro), a globally recognized leader in digital customer experience (CX) management, announced a strategic expansion of its service portfolio to include comprehensive Business Process Services (BPS). The evolution highlights Inspiro’s shift from serving as a cost-reduction and process-efficiency partner—focused on providing a competitive workforce—to becoming a value-driven partner, holistically supporting the client’s entire business operation, encompassing not only efficiency but also enabling revenue generation and profit growth.

Anchored by the strategic philosophy of “Achieving More with Less,” Inspiro’s newly expanded BPS framework is engineered to optimize resources, streamline complexity, and accelerate time-to-market. By integrating Lean Six Sigma methodologies with AI-powered automation and advanced data analytics, Inspiro transforms legacy operations into agile business engines. Through this optimized delivery model, Inspiro is currently collaborating with global enterprises to set remarkable operational benchmarks, helping them achieve 60% in cost savings and driving a 40% increase in process efficiency.

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The shift to integrated BPS addresses the growing enterprise demand for streamlined front-to-back-office workflows.

“Our foundation in customer experience remains central to who we are, but our clients’ needs and challenges have changed,” said Ryo Ohashi, President and Chief Executive Officer of Inspiro. “They are no longer asking us only to manage customer interactions; they are asking us to help improve the way their entire business operates. For our existing clients, this means we can extend our discipline and performance culture beyond isolated touchpoints to deliver smarter, leaner, and more impactful solutions across their entire operational footprint.”

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As the global market accelerates toward holistic digital transformation, organizations require partners capable of delivering multi-shore resilience and outcome-based results. Inspiro’s BPS expansion directly addresses these evolving dynamics. By bridging the gap between front-office engagement and back-office administration, the company equips business leaders with the critical infrastructure necessary to sustain long-term growth and maintain a competitive edge.

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Bandicam Introduces VideoTrimmer.com for Fast, Free Video Trimming

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MTS Staff Writer
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Bandicam Introduces VideoTrimmer.com for Fast, Free Video Trimming

Bandicam Company - Logo and image resources

A free browser-based tool that enables fast, privacy-focused video trimming with no software installation required

Bandicam Company has announced the launch of VideoTrimmer.com, a new browser-based solution designed to simplify the video editing process. The platform offers users a fast and accessible way to trim videos directly within their browser, eliminating the need for software installation or complex editing tools.

We launched VideoTrimmer.com to make video trimming faster and easier for anyone who wants simple results without complicated software.”

— Denny

The newly launched video trimmer provides a streamlined experience for users seeking quick edits without compromising quality or privacy. The service is completely free to use, requires no sign-up, and produces videos without any watermark. It supports popular formats such as MP4, WebM, and MOV, allowing users to trim clips efficiently and export them as high-quality MP4 files.

VideoTrimmer.com is built with a focus on simplicity and speed. Users can select a video file from their device, set precise start and end points using intuitive controls or manual input, and instantly preview the trimmed output. The platform also offers multiple trimming modes, including Auto, Fast, and Re-encode, enabling users to choose between speed and precision depending on their needs.

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A key differentiator of the service is its privacy-first approach. Unlike many online editing tools, VideoTrimmer.com is designed to process videos entirely within the user’s browser. This ensures that files are not uploaded to external servers, allowing users to trim videos with greater confidence and control over their data.

Denny Oh, CEO of Bandicam Company, commented on the launch, stating, “We launched VideoTrimmer.com to make video trimming faster and easier for anyone who wants simple results without complicated software.” He added, “Our goal was to create a solution that balances convenience with privacy, so that users can trim videos online more comfortably and securely.”

The platform is compatible with major browsers including Chrome, Edge, and Firefox, and supports trimming of Full HD and 4K videos. With features such as instant preview, frame-accurate editing, and no upload queues, the service is tailored for users who require quick edits without delays.

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

While VideoTrimmer.com focuses on simplicity and accessibility, Bandicam Company continues to offer advanced solutions through its desktop software lineup. For users working with larger files or requiring more comprehensive editing capabilities, the Bandicut video cutter provides high-speed processing, support for additional formats, and advanced features such as splitting, merging, and batch editing.

In addition to its video editing tools, the company also offers a screen recorder solution that allows users to capture high-quality video content across both Windows and macOS platforms. Together, these tools form a comprehensive ecosystem designed to support content creation for various purposes.

With the introduction of VideoTrimmer.com, Bandicam Company is expanding its portfolio to include web-based solutions that complement its desktop software. The new platform is positioned as an ideal tool for users who need quick, efficient video trimming without the overhead of traditional editing software.

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EZdial.online Chooses Telnyx to Power Its Brin

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MTS Staff Writer
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Relynta Expands Its Inbox-First AI CRM Into an End-to-End Client Workflow Platform for Service Businesses

EZdial.online integrates Telnyx’s network to give businesses full control over their voice infrastructure with enterprise-grade reliability and flexibility.

BFF Software Integrates Telnyx as Bring Your Own Carrier (BYOC) Provider to Power EZdial.online MCA Dialer Platform

BFF Software announced the integration of Telnyx as the Bring Your Own Carrier (BYOC) provider powering voice infrastructure for EZdial.online, its browser-based power dialer and CRM platform built for the Merchant Cash Advance (MCA) industry.

Selecting Telnyx as our BYOC carrier was an easy decision. Their network reliability and flexibility align perfectly with what EZdial.online customers expect from a modern communications platform.”

— Bronson Zolik, Founder

The integration enables EZdial.online to deliver high-performance, browser-based VoIP calling using Telnyx’s global communications network, allowing MCA brokers and sales teams to operate without traditional phone hardware or complex SIP configurations.

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“Voice quality, reliability, and scalability are non-negotiable in high-volume outbound sales,” said Bronson Zolik, Founder of BFF Software. “Integrating Telnyx’s infrastructure into EZdial.online gives our users access to enterprise-grade call quality while maintaining the flexibility to use their own numbers and scale on demand.”

Powering a New Standard for MCA Dialing Infrastructure
Through this integration, EZdial.online leverages Telnyx’s WebRTC-based voice technology, enabling users to make and receive calls directly from their browser with no downloads or hardware requirements. This architecture supports the platform’s core mission: simplifying outbound dialing while maximizing agent efficiency.

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

Key capabilities enabled by the integration include:
• Bring Your Own Carrier (BYOC) flexibility, allowing users to connect their own Telnyx numbers
• Browser-based VoIP calling via WebRTC, eliminating the need for desk phones or softphones
• High call quality and low latency, optimized for high-volume outbound dialing
• Scalable voice infrastructure, supporting single agents to multi-seat call centers
• Global coverage and number provisioning, enabling teams to expand operations seamlessly

Built for Speed, Scale, and Simplicity
EZdial.online is designed to replace fragmented dialing systems with a unified platform that combines predictive dialing, power dialing, lead management, and CRM integration in a single interface. The addition of Telnyx as the BYOC provider reinforces the platform’s commitment to zero-hardware deployment and rapid onboarding.

Sales teams can upload leads, assign caller IDs, and begin dialing within minutes—without the delays typically associated with telecom setup.

Strategic Alignment for Growth
The Telnyx integration aligns with BFF Software’s broader strategy to build a scalable, API-driven ecosystem for outbound sales and MCA deal flow management. Telnyx’s programmable communications platform and global infrastructure provide the foundation needed to support continued product expansion and enterprise adoption.

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Zenfox Launches AI Operating System for Professionals, Exposing Critical Gaps in the $15B Productivity Market

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MTS Staff Writer
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0
Zenfox Launches AI Operating System for Professionals, Exposing Critical Gaps in the $15B Productivity Market

Zenfox.ai

Next-generation agentic AI platform combines autonomous execution, deep research, and RAG-native architecture; early adopters report 40% workflow acceleration

Zenfox announced the public launch of its AI operating system, a unified agentic AI platform that exposes a critical paradox in enterprise AI adoption: despite $15 billion invested in productivity tools, 73% of professionals report these same tools have increased their cognitive load.

Current generation AI — from ChatGPT Enterprise to Claude for Work — excels at conversation. But professional work isn’t conducted in chat windows. It’s conducted across email, calendars, CRMs, cloud storage, and project management tools that remain stubbornly disconnected from the AI layer meant to accelerate them.

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“We built Zenfox because the status quo forces professionals to abandon their workflow to access intelligence,” said Alexandre Gonzales, founder of Zenfox. “Current solutions require you to copy sensitive context into third-party interfaces, maintain constant mental overhead to ‘manage’ AI interactions, and pay for multiple subscriptions that fragment rather than unify your stack. Zenfox operates as infrastructure, not another app to babysit.”

From Chatbot to Autonomous Agent

Unlike conversational AI that demands context-switching and explicit prompting, Zenfox deploys agentic AI architecture with 2-tier agent orchestration that operates across a user’s entire digital environment. Unlike wrapper-based solutions like OpenClaw that route sensitive data through external API black boxes, exposing users to supply chain vulnerabilities and intelligence ceilings imposed by third-party providers, Zenfox maintains complete architectural control.

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

The platform combines:

– 2-tier agent architecture: Meta-orchestrators delegate to specialized sub-agents for complex multi-step workflows
– Autonomous execution: AI agents that perform tasks across Gmail, Google Calendar, Slack, HubSpot, cloud providers, and enterprise systems
– Deep research engine: Background intelligence gathering that decomposes queries, searches multiple sources, and synthesizes reports with citations
– RAG-native architecture: Retrieval-augmented generation grounded in user’s own indexed documents, not just training data
– Proactive intelligence: Anticipates workflow needs from contextual patterns

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