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Apollo.io Launches AI Assistant, Powering End-to-End Agentic Workflows in the First AI-Native All-in-One GTM Platform

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Apollo.io Launches AI Assistant, Powering End-to-End Agentic Workflows in the First AI-Native All-in-One GTM Platform

Nearly 20,000 Weekly Users Already Executing End-to-End Agentic Workflows Through Apollo‘s AI Assistant; Users 36% More Likely to Book Meetings in Their First 14 Days

Apollo.io, a leading AI-native go-to-market platform, announced the launch of its AI Assistant, making Apollo the first fully agentic GTM operating system designed to replace legacy sales tools. By embedding AI into every step of the workflow, Apollo enables revenue teams to prospect, research, engage, and optimize, all from a single platform using natural language.

Unlike standalone AI tools that provide instructions for what to do, Apollo’s AI Assistant is embedded directly into core workflows and actually does the work. Now, sales, marketing, and revenue teams can engage prospects, build campaigns, and drive revenue by automating tasks that used to take hours in just minutes.

“AI is quickly becoming the interface for how revenue teams work, but ideas without execution do not drive growth,” said Matt Curl, CEO of Apollo.io. “Apollo’s AI Assistant does more than suggest next steps, it executes them across the entire go-to-market workflow. From finding the right accounts to engaging them with precision, we’re bringing data, outreach, and intelligence into one system. Revenue teams don’t need more tools, they need an operating system that delivers outcomes. That’s exactly what we’ve built.”

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A True Integrated AI Execution Engine for Revenue Teams
Coming out of beta, Apollo’s AI Assistant has nearly 20,000 weekly active users with beta users seeing 2.3x more meetings booked. The Apollo AI Assistant isn’t just another chatbot — it’s a GTM assistant leveraging industry best practices integrated deeply into Apollo’s platform to help sales teams hit their quota. Its capabilities include:

  • Natural Language Workflow Execution — Users simply describe a goal, and the Assistant generates and executes complex workflows across Apollo’s platform without manual setup. Unlike other AI tools, the Assistant doesn’t just provide the user with instructions, it actually does the work.
  • Full-Funnel Support — From prospect discovery and qualification, to data enrichment, to outreach and reporting, to deal execution, the AI Assistant supports every phase of the GTM cycle.
  • Business-specific Outputs — The Assistant leverages users’ saved company and product context to produce more consistent targeting, research, and messaging.

“Apollo AI Assistant represents a fundamental shift from tools that just surface data to an intelligent system that executes,” said Bela Stepanova, Chief Product Officer at Apollo.io. “We’ve built an AI-native platform that understands go-to-market workflows end-to-end. Our goal is simple: turn signals into strategy and strategy into execution—at a scale and quality that wasn’t previously possible.”

Beta Success — Now Ready for Prime Time
Since its beta introduction in October 2025, Apollo AI Assistant has helped early adopters automate prospect targeting, build sequences, research companies, and accelerate campaign execution, enabling them to focus on strategy and customer engagement rather than repetitive tasks.

“Apollo’s AI Assistant has become my go-to for building outreach sequences,” said Dr. Jonathan Chenier, Director, Business Development, TransPerfect. “I’ve been able to generate high-quality messaging in minutes (even across three languages!) when I provide clear context like our value prop and desired outcome. It saves me hours on every campaign and helps me refine my approach, so I’m encouraging my entire team to use it so they can move faster and get better results.”

“Apollo’s AI Assistant filters and cleans prospect data for me, so I can find the right people faster and run better searches,” said Erik Fernando Nieto, Business Development Representative, JumpCloud. “It’s easy to use, I don’t have to become a prompt expert, and it removes the guesswork from prospecting. It feels like someone is working by my side, and it saves me about an hour per prospecting session.”

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How does Apollo‘s AI Assistant work?

Apollo AI Assistant works by translating plain-language prompts into actionable workflows across its AI-native platform. Users describe what they want to accomplish — such as finding high-intent accounts, drafting personalized emails, or launching a campaign — and Apollo sources from its own proprietary B2B database and GTM features to generate and execute the required steps. Unlike standalone chatbots, Apollo’s AI Assistant is deeply integrated into Apollo’s data, automation, and engagement tools, enabling it to take action, not just provide suggestions.

What does Apollo‘s AI Assistant solve for?

Apollo AI Assistant enables teams to optimize and scale their GTM workflows, such as prospect research, list building, workflow configuration, and content creation, all in one place. It helps teams move faster, reduce operational overhead, and focus more time on strategy, creativity, and customer relationships.

Who is AI Assistant designed for?

Apollo AI Assistant is designed for sales, marketing, revenue operations, and growth teams — from SDRs to AEs to GTM leaders.

What makes this different from other AI tools?

Unlike generic AI chatbots or tools, Apollo’s AI Assistant is purpose-built for end-to-end go-to-market execution. It combines conversational AI with Apollo’s proprietary B2B data, workflow automation, and GTM best practices — enabling users to move from idea to execution in seconds, all within a single platform.

Can customers control how much they use Apollo AI Assistant?

Yes, the Assistant is designed to operate with human oversight and flexible controls. Customers can choose when and how to use AI-powered features, throttle usage based on their workflows, and maintain full control over execution. It supports a human-in-the-loop approach, ensuring users stay in charge of decisions while benefiting from AI-driven speed and automation.

How much does it cost?

AI Assistant is currently free as an introductory offer on Basic, Pro, and Org plans (pricing and availability may change), and Free plans include up to 5 chats.

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AudioEye Advances Next-Generation Digital Accessibility Platform, Delivering the Industry’s Strongest Compliance Protection

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AudioEye Advances Next-Generation Digital Accessibility Platform, Delivering the Industry's Strongest Compliance Protection

The platform combines AI, audits, and custom code fixes in one unified system

AudioEye, Inc., the industry-leading digital accessibility company, announced significant advancements to its digital accessibility platform, built to protect businesses as regulatory pressure intensifies and artificial intelligence (“AI”) fundamentally rewrites the web in real time. The next-generation platform unifies AI detection, expert audits, and custom fixes in a single system that delivers unmatched transparency, ease of use, and 3-4x the legal protection of other solutions.

AI is now the primary engine behind website creation, generating layouts, assembling components, and deploying updates at a pace no human compliance team can match. That speed is creating a new category of accessibility risk: more sites, more frequent changes, and more complexity than traditional compliance models were ever designed to handle. AudioEye’s next-generation platform was built for this reality, replacing fragmented processes with continuous, AI-powered protection designed for the modern internet.

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“AI is accelerating how businesses build digital experiences and also accelerating how fast accessibility failures compound,” said David Moradi, CEO of AudioEye. “We have years of proprietary data from detecting and fixing accessibility issues across hundreds of thousands of sites and billions of unique visits. We are using this data to power the new platform, enabling us to provide a level of transparency and legal protection not available anywhere else.”

What’s New

Unified Platform Experience: All accessibility data now lives in one place: automated scans, expert audit results, and custom accessibility fixes appear in a single view. No other accessibility solution delivers custom fixes directly within the platform, giving teams a complete picture of their accessibility status. Other solutions make claims of custom fixes without being able to back them up.

Unmatched Fix Transparency: See what was fixed, where it was fixed, and what still needs attention, all in one place. When source fixes are needed, dev teams get a clear action list with element-level detail showing exactly which issues need attention and how to resolve them. No other solution in the industry provides this level of visibility.

Enhanced AI-Powered Testing: AudioEye continues to strengthen its industry-leading AI automation, which now tests 37 of 55 WCAG 2.1 Level A and AA criteria, significantly more than any other automated solution, and automatically fixes up to 50% of detected issues instantly.

AI-Driven Risk Intelligence and Accessibility Protection Status: Traditional accessibility scores have been replaced with real-time compliance data, significantly reducing legal risk. Instead of an arbitrary number, teams see exactly where they’re exposed, which issues carry the greatest legal risk, and what to prioritize first, giving compliance and legal teams the actionable intelligence they need to make confident decisions.

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Proven Outcomes at Scale

Together, these advancements deliver measurable protection no other provider can match. AudioEye achieves maximum issue coverage at scale while saving organizations significant time and money compared to in-house efforts to fix accessibility issues with developers. Unlike legacy accessibility tools that retrofit AI onto outdated architectures, AudioEye’s platform was built to capture AI advancements, including continuous learning, and to monitor and protect customers as their digital environments evolve. This approach enables AudioEye to stand behind customers with real legal backing when claims arise.

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UniCourt Launches New Legal Analytics for DART Featuring Judgment and Attorney Comparison Analytics

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Lightfield Launches One-Hour CRM Migration Agent, Enabling Startups to Replace HubSpot With an AI-Native CRM in Under 60 Minutes

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UniCourt announces new groundbreaking legal analytics for its award-winning product DART, showcasing judgment analytics and comparison of attorney metrics in key state trial courts

UniCourt, the preeminent litigation data and analytics platform, is proud to announce the launch of its new legal analytics featuring judgment analytics and comparison of attorneys by key metrics such as trial experience and judgment outcomes. These judgment analytics and the attorney comparison tool will be available for a selection of key trial state courts, soon to be expanded nationwide. This new suite of litigation analytics builds on enhanced case analytics that is a major feature of UniCourt DART (Docket Analytics, Research, and Tracking), UniCourt’s award-winning product line.

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“Knowing who won and how much money changed hands is the only way to get a true picture of the litigation landscape,” says Josh Blandi, CEO of UniCourt.

Now, legal professionals can leverage these powerful analytics to understand case outcomes in terms of damages awarded, timing, and plaintiff/defendant win rates. They can compare attorneys to find those with the strongest experience by trial count, win/loss rate, damages awarded, and more. These new analytics can help answer questions such as:

  • What’s the median jury award for a personal injury case, and is this specific jurisdiction more favorable to plaintiffs or defendants?
  • How long should I expect a case to last if it goes to judgment? What if it goes to trial?
  • How do my panel of attorneys compare against each other? Who is the best attorney for this case if it goes to trial?

“Knowing who won and how much money changed hands is the only way to get a true picture of the litigation landscape,” says Josh Blandi, CEO of UniCourt. “Our judgment and attorney comparison analytics enables legal professionals to better assess litigation trends, outcomes, counsel experience, and ultimately, results. Understanding liability trends and counsel performance will help legal professionals make data-backed decisions on case values, litigation strategy, and business implications.”

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Judgment Analytics

With UniCourt’s new judgment analytics, legal professionals can gain crucial insights into:

  • Award metrics: total amount of damages granted and median amount awarded
  • Outcome trends: likelihood of certain case types to proceed to judgment and verdict
  • Success rates: proportion of judgments and verdicts resolved in favor of plaintiffs versus defendants
  • Timing: median time to judgments and verdicts

Attorney Comparison Analytics

Legal professionals will now also be able to leverage new sophisticated comparison tools in order to compare attorneys by:

  • Litigation experience: total case count and number of judgments/verdicts awarded
  • Win/Loss records: number of judgments and verdicts won and overall win percentages
  • Damages awarded: total and median amounts won on behalf of clients
  • Head-to-head comparison: direct, side-by-side performance metrics of specific attorneys or opposing counsel

The new judgment analytics and counsel comparison are built into UniCourt’s exclusive Litigation Knowledge Graph, which connects cases, claims, facts, and outcomes directly to underlying documents and key players involved (attorneys, law firms, judges, courts, parties). This provides legal professionals with a comprehensive view of the crucial intersections and outcomes of the litigation most relevant to their client and case.

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Zip Appoints Former Ironclad and Salesforce Sales Leader Dallas Stonhaus as Chief Sales Officer to Accelerate Enterprise Expansion

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Zip Appoints Former Ironclad and Salesforce Sales Leader Dallas Stonhaus as Chief Sales Officer to Accelerate Enterprise Expansion

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Stonhaus, a two-decade enterprise sales veteran who helped build Ironclad into a category-defining company, joins Zip as the AI procurement platform enters its next phase of growth

Zip, the AI platform for enterprise procurement, announced the appointment of Dallas Stonhaus as Chief Sales Officer. Stonhaus brings more than two decades of enterprise sales leadership across two of the most significant SaaS companies of the past decade – Salesforce and Ironclad – and will lead Zip’s global sales organization as the company scales its AI-powered procurement platform across the Fortune 500.

“This is the largest, most broken process in enterprise finance, and Zip has the product, the customers, and the AI innovation to define and own this category for a long time.”

The hire signals Zip’s intent to aggressively expand its enterprise footprint. In just five years, the company has saved customers more than $6 billion, orchestrated hundreds of billions in spend, and earned the trust of major enterprises including T-Mobile, OpenAI, LinkedIn, Snowflake, Anthropic, Discover, Dollar Tree, and John Deere, among others. Zip was recently named a Visionary in the Gartner® Magic Quadrant™ for Source-to-Pay Suites, the youngest company ever recognized.

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“Purchasing is one of the largest cost centers in any enterprise and one of the last to be modernized. The opportunity in front of us is massive, and we need a sales leader who has built and scaled world-class enterprise organizations before,” said Rujul Zaparde, Co-founder and CEO of Zip. “Dallas did exactly that at Ironclad, helping transform a startup into the market leader in contract lifecycle management. He’s done this before, and we’re thrilled to have him do it again at Zip.”

Stonhaus spent 15 years at Salesforce, where he rose from an early sales role to senior enterprise leadership as the company grew from roughly 700 employees to more than 70,000. He went on to serve as Chief Sales Officer at Ironclad, where he built the enterprise sales organization from the ground up and helped grow revenue more than 10x.

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“At Ironclad, I saw what happens when you take a legacy process that large enterprises have struggled with for decades and give them a modern, elegant platform that actually works,” said Stonhaus. “Zip is doing the same thing for procurement, but the opportunity is even bigger. This is the largest, most broken process in enterprise finance, and Zip has the product, the customers, and the AI innovation to define and own this category for a long time.”

At Zip, Stonhaus will oversee the company’s full sales organization, including enterprise and commercial sales, business development, and revenue operations. He joins at a moment of significant momentum: Zip launched over 50 specialized AI agents last year, and the impact has been clear. OpenAI saves 1,400 hours annually with Zip’s AI suite, while Canva has boosted procurement productivity by 250%. The company more than doubled headcount to over 700 employees.

Zip is backed by $371 million in funding at a $2.2 billion valuation from investors including BOND, CRV, Y Combinator, Tiger Global, and DST Global.

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CORRECTING and REPLACING Qualified Accelerates Customer Growth as Leading Enterprises Move Toward Full-Funnel Agentic Marketing

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fullthrottle.ai® Announces Strategic Audio Partnership With TuneIn to Power Outcome-Driven Campaigns

First sentence of the second paragraph of the release dated February 25, 2026, should read: In the last year, Qualified saw a 145% increase in new customers on their Agentic Marketing Platform, which powers Piper the AI SDR Agent. (instead of: Qualified saw a 185% increase in new customer acquisitions since last quarter, driven by demand for full-funnel AI automation.)

“Qualified is setting the standard for AI SDR agents in the market,” says Maura Rivera, CMO of Qualified. “Customers aren’t just experimenting with AI; they’re rebuilding their go-to-market motions around agentic marketing…”

QUALIFIED ACCELERATES CUSTOMER GROWTH AS LEADING ENTERPRISES MOVE TOWARD FULL-FUNNEL AGENTIC MARKETING

Qualified announced significant customer momentum as organizations accelerate their shift to full-funnel agentic marketing with Piper the #1 AI SDR Agent. As buyers expect instant, always-on engagement, pressure is mounting to respond faster and never miss a meaningful conversation. To meet this shift, companies are moving beyond traditional marketing automation and adopting agentic marketing platforms that can autonomously manage full-funnel AI automation and drive pipeline and revenue outcomes.

In the last year, Qualified saw a 145% increase in new customers on their Agentic Marketing Platform, which powers Piper the AI SDR Agent. New customers include Dun & Bradstreet, Epson, and Sprout Social. Qualified also saw strong expansion from existing customers such as Blackbaud and LogicMonitor, underscoring broad demand for B2B pipeline automation and modern pipeline AI solutions.

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Agentic marketing is transforming the inbound funnel

The traditional marketing funnel is strained: too many leads, too little follow-up, and too many missed opportunities. As buyer expectations rise and resources tighten, teams are turning to agentic marketing to keep pace. With Piper, organizations can rely on one intelligent agent to work every stage of the funnel. From website visitor to email nurture to conversion, Piper autonomously engages, qualifies, and advances buyers, replacing legacy Marketing Automation Platforms anchored on manual rules and prescriptive workflows.

“After adopting Piper the AI SDR Agent, we’ve increased meetings booked by 68% and conversations by 118%,” said Troy O’Bryan, Senior Vice President, Global Growth Marketing, Blackbaud. “Piper allows us to work around the clock engaging potential buyers and sets up our team to have more meetings and impactful human-to-human conversations.”

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Consistent innovation is driving this shift

Innovation is fueling the acceleration. Qualified’s recent product enhancements are designed for scale, sophistication and commercial impact. With PiperX, the company introduced multi-stage autonomy, multi-agent infrastructure and multi-modal interactions. This enables buyers to meet Piper via text, voice or video, and allows Piper to decide the next best action at every turn. These breakthroughs relieve marketers from juggling disjointed tools and manual workflows, and instead give them a unified platform that drives pipeline at speed. And this is just the beginning: Qualified is committed to delivering the next generation of agentic capabilities so organizations can expand outreach, reduce friction and convert more buyers faster.

Qualified is at the forefront of the agentic marketing movement

As more companies adopt AI SDR agents to run their funnel end-to-end, Piper has become the foundational platform of this new era. “Qualified is setting the standard for AI SDR agents in the market,” says Maura Rivera, CMO of Qualified. “Customers aren’t just experimenting with AI; they’re rebuilding their go-to-market motions around agentic marketing, and Piper is at the center of that shift.”

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TapClicks Expands Unified Marketing Intelligence with AudioGO and Instacart Instant-On Connectors

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MTS Staff Writer
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TapClicks Expands Unified Marketing Intelligence with AudioGO and Instacart Instant-On Connectors

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TapClicks, the leader in Smart Marketing solutions, today announced two new marketing campaign connectors, AudioGO and Instacart Ads. These additions expand the TapClicks AI-powered marketing intelligence platform, enabling agencies, media companies, and brands to unify audio and retail media performance within a single source of truth for optimization, reporting, and ROI measurement.

The TapClicks Smart Marketing Cloud brings in, integrates, warehouses, and activates data from virtually any marketing source, eliminating silos and reducing manual reporting. Native Instant-On connectors store data historically for deeper analysis and transformation, while Live On-Demand connectors provide near-real-time access for faster decision-making. Together, they empower marketers to move from fragmented channel reporting to unified, cross-channel intelligence.

TapClicks now supports AudioGO as a native Instant-On Connector (www.tapclicks.com/connectors/audiogo), bringing streaming audio performance directly into centralized reporting and AI-driven insights. By integrating AudioGO alongside search, social, retail media, and other digital channels, marketers gain a complete cross-channel performance view — enabling smarter budget allocation and faster optimization.
● Digital audio advertising continues to grow rapidly. According to the 2025 Infinite Dial report by Edison Research, 79% of Americans aged 12 and over (228 million people) listen to online audio monthly. As audio investment rises, unified performance visibility becomes essential for maximizing ROI.
● AudioGO, part of SiriusXM, simplifies audio advertising for businesses of all sizes, making it easier to launch, manage, and measure campaigns efficiently.

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The new Instacart Ads connector (https://www.tapclicks.com/connectors/instacart-ads-early-access) allows marketers to pull retail media campaign data directly into the TapClicks platform, aligning retail performance with broader marketing strategy. Retail media is one of the fastest-growing advertising channels, and bringing it into a unified intelligence environment enables true full-funnel measurement.
● A high-intent audience: With over 1,800 retail banners across nearly 100,000 locations, Instacart reaches more than 98% of households in the U.S. and Canada, connecting brands with ready-to-buy consumers.
● Actionable insights and incremental sales measurement: Instacart’s closed-loop reporting demonstrates an average of 15% incremental sales lift, helping marketers quantify true business impact.
● Full-funnel visibility: Ad formats span the entire shopping journey, allowing marketers to influence discovery, consideration, and purchase within one ecosystem.

Within the AI-powered TapClicks platform, marketers can view, analyze, benchmark, and report on audio, retail, and all other channel performance together. Granular data access and customizable views allow users to group, filter, visualize, and drill down from campaign to creative level. When unified with TapClicks AI Agents, insights become contextual, automated, and immediately actionable — transforming raw channel data into strategic intelligence.

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“Retail media and audio are two of the fastest-growing channels in digital advertising,” said Babak Hedayati, CEO of TapClicks. “By bringing AudioGO and Instacart Ads into our unified AI-enabled platform, we are giving marketers a clearer, more complete view of performance across the entire customer journey. This helps them optimize smarter, move faster, and drive measurable business results.”

TapClicks simplifies marketing operations by unifying data management, reporting, AI insights, workflow, and execution within one scalable platform. By reducing manual effort and accelerating insight delivery, teams can focus more on strategy and growth rather than spreadsheet management.

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EVA Live Secures Strategic Growth Financing to Accelerate AI Platform Expansion as Part of 2026 Growth Strategy

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https://www.globenewswire.com/news-release/2026/03/03/3248364/0/en/EVA-Live-Secures-Strategic-Growth-Financing-to-Accelerate-AI-Platform-Expansion-as-Part-of-2026-Growth-Strategy.html

EVA Live, an artificial intelligence-driven digital advertising and automation company, announced that it has secured strategic growth financing as disclosed in its recent Form 8-K filing with the U.S. Securities and Exchange Commission. The financing, provided by Streeterville Capital, is intended to accelerate product development, support product expansion, and drive market penetration as part of EVA Live’s 2026 Growth Strategy.

The additional capital strengthens EVA Live’s ability to execute on its strategic roadmap, which is focused on scaling its proprietary AI platforms, expanding distribution channels, and capturing market share in the rapidly growing artificial intelligence sector.

As part of its 2026 go-to-market strategy, EVA Live is prioritizing accelerated development and commercialization of its core technologies, NeuroServer™ and FastQuoteDirect™, which the company sees significant growth and potential being first-to-market with new AI driven products.

EVA Live’s proprietary NeuroServer™ platform uses real-time artificial intelligence learning to analyze user behavior and automatically optimize advertising performance and targeting. By continuously adjusting campaigns based on live data, NeuroServer™ enables advertisers to improve efficiency, reduce wasted spend, and respond instantly to changing market conditions.

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The company’s FastQuoteDirect™ platform represents EVA Live’s expansion into AI-powered quoting and lead generation for online services. FastQuoteDirect™ allows businesses to deliver real-time, data-driven quotes to consumers, helping accelerate conversions and streamline customer acquisition. The platform is currently in beta testing and is expected to play a key role in EVA Live’s growth initiatives throughout 2026.

“This financing is an important step in executing our 2026 go-to-market strategy,” said David Boulette, CEO and Founder, “The capital allows us to accelerate growth of NeuroServer and FastQuoteDirect while scaling our infrastructure. Our objective is clear — to capture market share and expand quickly in high-growth AI-driven markets.”

The company expects the financing to support expanded engineering resources, platform enhancements, and targeted marketing initiatives designed to increase the adoption of EVA Live’s AI-driven solutions. EVA Live’s strategy is centered on building a scalable technology ecosystem that allows businesses to automate marketing and quoting functions through real-time artificial intelligence.

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Dstillery, Keynes, and The Trade Desk Partner to Advance Agentic Advertising

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Dstillery, Keynes, and The Trade Desk Partner to Advance Agentic Advertising

DS-1 Agentic Advertising Platform Enables Custom Audience Building and Activation in Minutes

Programmatic advertising is entering its agentic era. AI agents can now handle complex workflows – audience discovery, custom modeling, activation – that previously required hours of manual work across multiple platforms. But this shift requires an industry-wide approach, with data and technology providers, agencies, DSPs, and SSPs collaborating to realize the promise of agentic advertising.

Dstillery, the leading AI ad targeting company, announced its agentic partnership with Keynes, the performance-driven CTV advertising technology. Keynes has adopted Dstillery’s DS-1 agentic advertising platform to streamline audience selection and build custom models, delivering fast, precise, data-driven outcomes for clients. These campaigns are then able to be activated on the largest independent DSP, The Trade Desk.

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How DS-1 Changes the Workflow

DS-1 connects directly to Keynes’ Slack workspace via Model Context Protocol (MCP). This eliminates the platform-hopping, manual handoffs, and wait times that slow down traditional workflows. Work that previously took 48 hours is now done in just 5 minutes.

“At Keynes, our mission is to combine performance, transparency, and operational excellence for our clients, and DS-1 is helping us do exactly that,” said Dan Larkman, Founder and CEO of Keynes. “What once took days now happens in a single conversation – all within Slack, a platform our teams are already operating in every day. DS-1 makes audience strategy easier, faster, and more precise, and it’s reshaping how our team plans and activates campaigns.”

Building an Agentic Ecosystem

Dstillery has built DS-1 through strategic partnerships at every layer of the programmatic ecosystem. Agencies and Technologies like Keynes are gaining immediate, tangible value from DS-1. And as industry standards like the IAB Tech Lab’s Agentic Advertising Initiative and The Agentic Advertising Organization’s Ad Context Protocol (AdCP) establish common systems, DS 1 will unlock new integrations and capabilities for clients – at no additional cost or effort.

“Keynes understood immediately what agentic delivers: custom modeling, planning, and activation in minutes instead of days, with precision that manual processes can’t match,” said Michael Beebe, CEO at Dstillery. “Together with partners like The Trade Desk, we’re building the infrastructure for programmatic’s next chapter.”

“The innovation that’s happening at the intersection of programmatic and agentic is finally being realized,” said Peter Ibarra, General Manager, Data Partnerships, The Trade Desk. “Media buyers using AI as a co-pilot to their strategies and tactics is a win-win for the industry. We applaud Dstillery’s efforts in making DS-1 an innovative use case for what this technology can bring for savvy clients like Keynes.”

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LiveRamp Launches Agentic AI Upgrades to Power Smarter Growth, Planning, and Measurement

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LiveRamp Launches Agentic AI Upgrades to Power Smarter Growth, Planning, and Measurement

Platform updates multiply effectiveness of agent-powered marketing

LiveRamp , the leader in data collaboration, announced the launch of new AI capabilities designed to transform how marketers plan, execute, measure, and optimize campaigns agentically. As part of the updates, LiveRamp is introducing agent-powered access to the LiveRamp platform, enabling specialized AI agents to autonomously collaborate with any partner, helping the marketing ecosystem move from manual, fragmented workflows to intelligent, governed execution that delivers exponential performance. Customers will be able to access these new capabilities in alignment with their organization’s AI policies and the applicable usage guidelines of the underlying AI provider.

“We’re making it possible for AI agents to do what marketers have been doing manually — build audiences, measure cross-media performance, and optimize spend — but faster and within the governed environment our customers already trust,” said Matt Karasick, Chief Product Officer at LiveRamp. “The agents from Newton Research and SemantIQ are live , and they’re the first of many partners we’re bringing onto the platform.”

Deploying agents to build smarter audiences, improve measurement, and optimize media

Building on January’s announcement, LiveRamp clients can now license partners’ AI-powered agents and applications. This expansion empowers marketers to execute on their end-to-end marketing via agents — from audience building to measurement and media optimization — with governed access to premium data, all from one central hub.

LiveRamp is building partnerships across the ecosystem to power end-to-end marketing workflows with agents. For example:

  • Using SemantIQ, health and life science marketers can build and activate healthcare provider audiences from the LiveRamp Clean Room.
  • Using Newton Research, marketers can unlock instant measurement insights from LiveRamp’s Cross-Media Intelligence using simple natural language questions.
  • LiveRamp continues to build new agentic partnerships across all categories — powering audience planning, segmentation, optimization, and measurement — unlocking new opportunities.

“LiveRamp and Newton Research have leaned in together to help marketers use AI to drive quantifiable performance increases, ,” said John Hoctor, CEO and Co-founder at Newton Research. “As Newton Research unlocks media performance gains from analytics with specially-trained intelligent agents, and LiveRamp streamlines adoption of these next-gen agents, every marketer will be able to easily tap the power of AI as part of their everyday workflows.”

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Powering agents with improved capabilities to drive best-in-class performance

LiveRamp is also introducing new, flexible tools for precision growth and smarter planning, available through the LiveRamp platform and via agents. Marketers utilizing these new capabilities via agents can continuously optimize audience performance across channels.

updates include the ability for marketers to build and expand audiences using enhanced lookalike modeling across first-, second-, and third-party data, as well as to apply a single identity-powered control group across surfaces and channels to measure performance consistently. This update makes it easier and quicker for marketers to manage experimentation, which can be further compounded with the speed and scalability of agents.

Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale

“Building a strong identity foundation has given us confidence in the accuracy, completeness, and precision of our data. As we progress to applying AI‑powered lookalike modeling to scale reach for our suppliers and advertisers, we’re able to develop high‑quality models that help us identify the right audiences and engage them in the ways they want to be reached,” said Austin Leonard, VP and GM, DG Media Network.

“With data security and consumer privacy protected at every step, we can use AI and data collaboration to model, build, and recommend higher-quality audiences with confidence, driving stronger marketing results and enabling us to scale more efficiently,” said Thomas Atkins, Executive Director of Media, MGM Resorts International.

“Marketers have historically struggled with incorporating lookalike audiences due to three main friction points: data, workflow, and connectivity,” said Ananda Chakravarty, Research VP for Retail Insights at IDC. “With this release, LiveRamp addresses these factors by sourcing from first-, second-, and third-party data, adapting to workflows, and ensuring seamless connectivity and activation across the ecosystem, resulting in a marketer focused solution.”

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RecordPoint Expands AI Governance Capabilities with New MCP Server Integration

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RecordPoint Expands AI Governance Capabilities with New MCP Server Integration

Connects Customers’ Governed Data with Any AI agent

RecordPoint, the trusted platform for data and AI governance, is announcing the availability of its Model Context Protocol (MCP) Server, giving enterprises a secure, standardized way to expose governed data to external AI agents and platforms.

“If you’re building AI agents, deploying AI platforms, or scaling AI adoption across the enterprise, the RecordPoint MCP Server gives you the governed data connectivity you need without the security and compliance headaches.”-Joseph Pierce, Head of Product

The RecordPoint MCP Server allows any AI system – copilots, agents, or custom LLM apps – to safely access governed, compliant data from the RecordPoint platform without custom integrations or elevated permissions.

By standardizing how AI systems discover and use governed resources, the RecordPoint MCP Server eliminates data fragmentation and accelerates AI adoption. It is the safest, most future-proof way to deliver clean, compliant, fully governed data into any AI environment.

RecordPoint Head of Product Joseph Pearce said, “If you’re building AI agents, deploying AI platforms, or scaling AI adoption across the enterprise, the RecordPoint MCP Server gives you the governed data connectivity you need without the security and compliance headaches.”

“You don’t have to wait 18 months to clean up your SharePoint, Google Drive, or file shares. You can safely expose them .”

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Enterprises working with AI face a challenge: to get the most out of their AI tools, they need to provide them with data. But giving them governed, compliant data introduces serious risks: compliance teams lack visibility and control over what they can access, current integrations are proprietary, inconsistent, or insecure, and a lack of standardization slows AI transformation.

The RecordPoint MCP Server brings governed enterprise data into the MCP ecosystem. With this capability, enterprises can connect any AI system to their governed records, allowing AI to interpret, reason over, and take compliant action on trusted information.

“Most governance vendors are still figuring out how to bolt AI onto their existing architectures. But every bespoke AI integration becomes another pathway auditors will ask you to explain,” Joseph Pearce said.

Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale

The RecordPoint platform was built from the ground up to focus on the data, allowing it to handle the complexity of modern data estates. The RecordPoint MCP Server replaces the sprawl with a standardized, permissioned, and auditable way for AI systems to access governed records, so highly regulated customers can move faster from pilot to production without relaxing controls or granting elevated access.

“This MCP Server is a standard interface for AI systems to tap into to receive compliant, governed data, regardless of where you are on your governance journey,” RecordPoint Head of Product Joseph Pearce said.

Every bespoke AI integration becomes another pathway auditors will ask you to explain. The RecordPoint MCP Server replaces that sprawl with a standardized, permissioned, and auditable way for AI systems to access governed records, so highly regulated customers can move faster from pilot to production without relaxing controls or granting elevated access.

Key capabilities of the RecordPoint MCP Server

  • Governed data exposure without leaking sensitive content
  • Permissioned and auditable AI access
  • Seamless integration with any AI agent or platform

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Similarweb Report Benchmarks AI Brand Visibility Winners and Overachievers

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Similarweb Report Benchmarks AI Brand Visibility Winners and Overachievers

GenAI Brand Visibility Index explores how brands are winning favorable mentions from ChatGPT and its competitors across Finance, Travel, Consumer Electronics, Beauty, Fashion, and News

As consumers increasingly turn to ChatGPT and other generative AI tools for answers to their questions, every business needs to understand the findings of the new Generative AI Brand Visibility Index report from Similarweb.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

“As advertising begins to be introduced in ChatGPT, understanding how to win organic visibility in AI answers is particularly important.” Adelle Kehoe, Director of Product Marketing at Similarweb.

The report reveals which brands are cited most frequently in GenAI answers, which are showing the greatest momentum, and which are overachieving – as in, demonstrating greater visibility in AI answers than in conventional search. Industries covered include Finance, Travel, Consumer Electronics, Beauty, Fashion, and News.

“As advertising begins to be introduced in ChatGPT, understanding how to win organic visibility in AI answers is particularly important,” said Adelle Kehoe, Director of Product Marketing at Similarweb. “As the importance of GenAI visibility grows, some brands may feel compelled to advertise if they want to achieve any visibility at all. Ideally, you want any ad dollars you choose to spend to magnify the impact of the credibility you’ve already gained through organic visibility in AI answers. You want to convert that visibility into sales.”

Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale

Not surprisingly, the most cited brands in an industry tend to be familiar names, like Apple in Consumer Electronics, but that’s not the end of the story.

“Years of building trust, deep specialism, and recognizable positioning are now compounding in AI search,” Kehoe said. “At the same time, the inclusion of ‘overachievers’ in this report signals something equally important: AI search represents an opportunity for all, not just a playground for incumbents. Rising players tend to share common traits: high-quality, specialist content, and deep subject-matter expertise.”

In other words, Kehoe said, “Authority, not just scale, is emerging as the differentiator.”

For example, in Consumer Electronics, specialist retailers and support-led platforms such as B&H, Adorama, and iFixit are accelerating their visibility growth and overperforming relative to their branded search demand. In News, the wire service Reuters is the leader, but the much more specialized Science Direct is an overachiever. The report provides detailed breakdowns ranking 113 distinct brands across Finance, Travel, Consumer Electronics, Beauty, Fashion, and News.

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Coforge Advances Data Cosmos, a Next-Gen AI-Enabled, Cloud-Native Data and Analytics Platform Designed to Accelerate Enterprise Transformation

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Coforge Advances Data Cosmos, a Next-Gen AI-Enabled, Cloud-Native Data and Analytics Platform Designed to Accelerate Enterprise Transformation

Platform delivers advanced data modernization, management, orchestration and agentic AI capabilities for the intelligent enterprise

Coforge Limited , a global digital services and solutions provider, announced the advancement of Coforge Data Cosmos, an AI-enabled, cloud-native data engineering and advanced analytics platform, to enable enterprises to transform fragmented data landscapes into intelligent, high-performing data ecosystems.

Part of Coforge’s technology stack, Data Cosmos is a foundational innovation platform that powers cloud-native, domain-specific solutions built using standard, reusable technology blueprints including Coforge’s own IP, accelerators, agentic components, and domain-aligned solutions. The platform has been engineered to tackle real-world challenges such as data fragmentation, legacy systems modernization, high maintenance costs, limited self-service analytics, lack of unified governance, manual operations, and the complexity of GenAI adoption.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

At its core, Coforge Data Cosmos is structured around five strategic technology solution portfolios — Supernova, Nebula, Hypernova, Pulsar, and Quasar — that guide enterprises across the full data transformation lifecycle. Supernova accelerates modernization and migration from legacy to cloud; Nebula delivers modern data management in data governance, and metadata and data quality management by leveraging GenAI and agentic systems. Hypernova powers next-generation, cloud-native data platforms; Pulsar enables agentic, autonomous, always-on DataOps and MLOps. Quasar accelerates GenAI adoption within enterprise data ecosystems by enabling LLMs with Model Garden and orchestrating AI workflows at scale via Quasar Platform.

To further increase speed-to-value, Coforge has deployed the Data Cosmos Toolkit, a powerful suite of 55+ IPs and accelerators and 38 AI agents powered by the Data Cosmos Engine. This toolkit enables enterprises to move faster with AI-enabled utilities and frameworks, scaling transformation with speed, reliability, and measurable impact.

Data Cosmos also powers Galaxy solutions; pre-built and custom-developed domain solutions tailored for specific industries. Galaxy solutions combine industry-specific data models with the Data Cosmos toolkit and the five technology solution portfolios to solve vertical-specific challenges, enabling faster transformation and smarter decision-making. Coforge currently brings these solutions to key sectors including banking and financial services, insurance, travel, transportation and hospitality, healthcare, public sector, and retail.

Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale

The platform is backed by a robust ecosystem of leading cloud providers and technology partners, enabling Data Cosmos to run seamlessly across multi-cloud and hybrid environments while integrating with modern data and AI platforms. This ecosystem approach ensures enterprises can leverage their existing investments while adopting the latest in cloud, data, and AI innovation.

Speaking about the solution, Deepak Manjarekar, Global Head – Data, Coforge, said, “With Data Cosmos, we are setting a new benchmark for how enterprises convert data complexity into competitive advantage. This platform reflects our belief that the future belongs to organizations that can incorporate intelligence into every layer of their business. Our goal is simple – give our clients a data foundation that is fast, adaptive, and AI-ready from day one.”

The platform is already being adopted in complex transformation programs, including unified data platform modernizations, AWS-powered data transformations, and unified data operations initiatives for global clients across financial services, insurance, and other industries.

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Levelpath Launches Agent Orchestration Studio as a Fast Track to Agentic Procurement

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Levelpath Launches Agent Orchestration Studio as a Fast Track to Agentic Procurement

Levelpath enables procurement departments to easily create and deploy unlimited custom AI Agents and multi-agent workflows at no extra cost

Levelpath, the premier AI procurement platform, announced the launch of Agent Orchestration Studio, a no-code tool that allows procurement teams to create their own AI Agents and multi-agent workflows. It safely empowers non-technical users to build AI Agents that automate every step of the procurement process, from intake and sourcing to contracts and stakeholder management.

“We have hundreds of procurement professionals already working hand-in-hand with our AI Agents to get work done faster, and they are spinning up new agents every day. “

Levelpath already leads the way in end-to-end agentic procurement, with a library of dozens of AI Task Agents and Assistants that can route purchase requests, draft RFPs, analyze supplier pricing, update stakeholders, track contract obligations, and flag renewals. Built on top of the industry’s only supplier graph, Levelpath’s AI Agents know the full history of an organization’s supplier relationships and understand its workflows. This ensures that their work is accurate, compliant, and impactful to procurement teams.

Now customers can apply Levelpath agentic AI to an even greater array of tasks by using Orchestration Studio to design their own custom AI Agents and even entire multi-agent workflows. Because the platform understands their existing processes and policies, there is no need to map out every step before AI Agents optimize their workflows.

Most notably, procurement can deploy as many AI Agents as they need, at no extra charge. While many procurement platforms charge per agent, per prompt or per token consumed, Levelpath’s AI is fully embedded in the platform.

“Customers are incredibly excited by the potential of agents to reduce cycles, eliminate inefficiencies and free procurement teams to drive serious value from their supplier relationships. But, in practice, for many there are just too many barriers to agent adoption,” said Stan Garber, Co-Founder and President at Levelpath. “Organizations are worried about relying on IT resources, lengthy configurations, agent errors and unpleasant billing surprises. Our platform removes these obstacles. We have hundreds of procurement professionals already working hand-in-hand with our AI Agents to get work done faster, and they are spinning up new agents every day. We’re excited to see all the work that they can automate with Orchestration Studio.”

Levelpath AI Assistant now executes tasks

In addition to the launch of Orchestration Studio, Levelpath has expanded the capabilities of its popular AI Assistant, which draws on data from across the entire procurement process to make impactful suggestions or provide guidance. The AI Assistant can now take real workflow actions inside a project, such as approving, rejecting or reassigning steps, adding comments or generating and attaching documents. Users can even request multiple actions in a single prompt.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Automated governance

Security and policy compliance remain the highest priority across the Levelpath platform. All of Levelpath’s AI Agents operate within a governed permissions framework (and within existing workflow rules), giving procurement teams the speed they need without putting compliance or oversight at risk. Every step an AI Agent takes is recorded in the Activity Log and timestamped, providing a clear audit trail of agentic actions.

Benefits for procurement teams

Orchestration Studio enables organizations to accelerate time to value from agentic AI. Businesses can:

  • Automate high-value steps instantly: Turn manual handoffs into automated actions, including routing intakes, generating documents, attaching files, and validating data without redesigning workflows.
  • Scale with reusable AI Agents: Activate pre-built AI Agents and templates to deploy summaries, supplier matches, notifications, and validations across teams.
  • Accelerate procurement cycle times: Surface relevant records automatically, match documents, and trigger next steps so contracts, invoices, and reviews move forward in seconds.
  • Improve governance and visibility: Link invoices, contracts, POs, projects, and supplier records automatically to provide a complete audit trail and reduce risk.

How Orchestration Studio works

Orchestration Studio automates procurement workflows by detecting key events, analyzing supplier and policy data, and deploying AI Agents to take real-time action. Its automation framework is organized into four core stages that move work from trigger to execution in a governed, auditable sequence.

Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale

Step 1: Trigger an Event
Automation begins when a defined event occurs, such as an intake submission, OCR completion, a sourcing event launch, or a workflow step opening. These triggers immediately activate Orchestration Studio without requiring manual follow-up. Work progresses as soon as the system detects the signal, reducing delays between stakeholders.

Step 2: Retrieve Context
Once triggered, Orchestration Studio pulls relevant supplier, contract, project, and policy data from the Levelpath supplier graph and existing workflows. It analyzes prior supplier history, approval paths, spend thresholds, and governance requirements. This ensures every automated action is informed by accurate, organization-specific context.

Step 3: Apply Business Rules
The system applies configurable business rules to determine routing, approvals, and compliance checks. Based on these conditions, it automatically connects the right stakeholders at the right time. For example, when a legal review step opens, a legal-ready summary can be generated and routed instantly. Approvals follow predefined rules, reducing bottlenecks across procurement, finance, and legal teams.

Step 4: Execute Actions
Task Agents handle focused activities such as summaries, data extraction, validations, and document generation, while Workflow Agents coordinate multi-step orchestration across teams and systems. Agents can approve, reject, reassign, notify stakeholders, or trigger downstream workflows in real time. Multiple actions can occur within a single workflow cycle. Every action is logged and timestamped to maintain governance and auditability.

See Orchestration Studio in action at LevelUp

Orchestration Studio will be unveiled this week at LevelUp, the premier AI procurement conference in San Francisco. Orchestration Studio is generally available to Levelpath customers. The three-day immersive event brings together procurement, finance, and technology leaders to explore real-world customer success stories, discover cutting-edge product innovations, and dive deep into the role of AI in transforming procurement.

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Teramind Launches the First AI Governance Platform for the Agentic Enterprise

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Teramind Launches the First AI Governance Platform for the Agentic Enterprise

Complete visibility, audit trails, and policy enforcement across every AI tool and autonomous agent – from Microsoft Copilot and Google Gemini to Claude Code and shadow AI

Teramind, the global leader in workforce intelligence and user behavior analytics, announced Teramind AI Governance, the first platform to extend enterprise-grade behavioral oversight to every AI tool and autonomous agent operating across the modern workforce.

“This isn’t a technology gap – it’s a governance gap,” said Isaac Kohen, Chief Product Officer at Teramind. “The answer isn’t less AI. It’s governed AI. Teramind gives organizations the confidence to say yes.”

The need is urgent. Teramind’s Internal Research Team found that more than 80% of workers now use unapproved AI tools on the job, one-third have shared proprietary data with unsanctioned platforms, and 49% actively hide their AI use from IT. Worker access to AI rose 50% in 2025 alone (Deloitte), and 23% of organizations are already deploying autonomous agentic systems (McKinsey). Yet until now, no platform existed to govern all of it in one place.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

“This isn’t a technology gap – it’s a governance gap,” said Isaac Kohen, Chief Product Officer at Teramind. “The answer isn’t less AI. It’s governed AI. Teramind gives organizations the confidence to say yes.”

What Makes It Different

Teramind AI Governance requires no new infrastructure and delivers visibility from day one – capturing prompts, responses, and autonomous actions across ChatGPT, Microsoft Copilot, Google Gemini, Claude Code, and shadow AI tools. Key capabilities include complete prompt and response logging, visual evidence capture via screen recording and OCR, full transcripts of autonomous agent activity, behavioral detection of shadow AI by execution pattern rather than signature, and automatic enforcement of existing security policies against AI agents.

Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale

According to Teramind’s Insider Risk Management Team, AI-associated breaches now cost organizations more than $650,000 per incident – a figure that rises as agentic AI accelerates the scale of potential exposure. With 50% of developers using AI coding tools daily, and agentic systems capable of executing hundreds of commands in thirty seconds, the window for ungoverned AI activity is closing fast.

Built for Compliance Landscape

Teramind AI Governance produces continuous, automatic audit trails across SOX, HIPAA, CMMC, FedRAMP, SOC 2, ISO 27001, and the EU AI Act – meeting the governance standards Deloitte’s 2026 State of AI in the Enterprise identifies as critical for organizations scaling autonomous systems.

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Brick Marketing Develops System for Balancing SEO, AI Search, and Content Marketing

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prweb
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Brick Marketing to Present AI Search (SEO) Mastermind Sessions at SMX Advanced Boston

Brick Marketing - Digital Marketing Agency

Brick Marketing today announced the development of a structured, integrated system designed to help businesses of all sizes and across all industries grow through a balanced combination of traditional search engine optimization (SEO), Generative Engine Optimization (GEO) for AI-powered search, content marketing, and strategically aligned social media promotion.

Brick Marketing (https://www.brickmarketing.com/) today announced the development of a structured, integrated system designed to help businesses of all sizes and across all industries grow through a balanced combination of traditional search engine optimization (SEO), Generative Engine Optimization (GEO) for AI-powered search, content marketing, and strategically aligned social media promotion.

As search behavior evolves and AI-powered search experiences become more prominent, Brick Marketing’s system focuses on helping organizations maintain strong traditional search visibility while also positioning their brands to be discovered, cited, and trusted within AI-generated answers. The approach is grounded in long-term growth, data-driven strategy, and alignment with business goals rather than short-term tactics.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

A Strategic, Technical, and Content-Driven SEO Foundation

At the core of Brick Marketing’s system is traditional SEO, which remains essential for long-term visibility and credibility. Brick Marketing’s SEO approach focuses on technical excellence, on-page optimization, content relevance, and authority building. This includes site architecture optimization, page speed and performance improvements, keyword and intent research, metadata optimization, and structured content that aligns with how real buyers search.

Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale

Rather than chasing vanity metrics, Brick Marketing emphasizes SEO strategies that support measurable business outcomes, such as qualified traffic, lead generation, and sustained visibility in competitive search results. This foundation allows businesses to benefit from compounding gains over time while avoiding the volatility associated with short-term or overly aggressive tactics.

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Seedtag Welcomes Brendan McCarthy as Chief Marketing & Communications Officer

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AdPlus Beta Attracts Nearly 200 Marketers as AI Ad Platform Sets May 19 Public Launch Date

Seedtag | Where Context Becomes Intelligence

Criteo CMO joins Seedtag to accelerate global growth 

Seedtag, the global Neuro-Contextual advertising company, announced today the appointment of Brendan McCarthy as Chief Marketing & Communications Officer. McCarthy will oversee Seedtag’s global marketing and communications strategy, supporting the company’s rapid international expansion while driving the evolution of privacy-first, Neuro-Contextual advertising across the open web and CTV.

McCarthy joins Seedtag following his tenure as Chief Marketing Officer at Criteo, where he helped transform the company’s positioning from a single-product point solution to the leading AI-centric commerce media platform. He brings more than  20 years of  strategic marketing and communications experience with Fortune 500 companies including Nielsen, Samsung and eBay, blending data, creativity and thought leadership to deliver measurable business impact.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

“At Seedtag, we believe the future of advertising isn’t about tracking people— it’s about understanding them,” said Brian Gleason, CEO of Seedtag. “Brendan brings the rare ability to turn vision into momentum and innovation into impact. As we expand Liz and our Neuro-Contextual platform globally, his leadership will help brands connect with audiences in more meaningful, measurable ways.”

McCarthy will lead a global team focused on advancing the company’s brand, driving demand, and aligning marketing and communications as an integrated growth engine. His appointment comes at a pivotal moment for Seedtag, following 46% year-over-year revenue growth in North America in 2025 and continued global momentum fueled by its proprietary AI platform, Liz.

Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale

“Seedtag has proven it can disrupt the status quo with a years-long track record of rapid growth in mature advertising markets,” said McCarthy. “I’m confident we can accelerate that momentum by aligning our brand and global communications to drive even more value for our clients. We have a unique opportunity to lead the category as the premier AI-driven partner for brands that value both innovation and consumer trust.”

Seedtag is the creator of Neuro-Contextual Advertising. Applying Liz, the company’s proprietary AI built on neuroscience, Seedtag decodes real-time interest, emotion, and intent to deliver relevant, privacy-first advertising across CTV, video, and the open web. Seedtag’s Contextual OS makes context the foundation of modern planning, helping brands build deeper connections that drive performance, while empowering publishers to maximize the value of quality content.

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XTM and Vistatec Launch Enterprise AI Content Globalisation Partnership

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XTM and Vistatec Launch Enterprise AI Content Globalisation Partnership

An end-to-end enterprise operating model built on XTM’s AI globalisation platform and delivered with Vistatec’s expertise.

XTM and Vistatec today announced the launch of an enterprise AI globalisation partnership. The partnership is designed to help organisations operationalise AI-driven global content as a production capability, with the governance, auditability, and expert delivery required to scale across teams, markets, and content types.

This introduces an end-to-end enterprise AI globalisation service built on XTM’s SaaS platform, with Vistatec providing expert translation services including implementation, governance, and optimisation support. The approach is designed for enterprises that need faster global execution without compromising brand control, compliance requirements, or operational visibility. In practice, this covers the full lifecycle of global content — from intake and governance through delivery, quality control, and reporting.

As AI moves from pilots to day-to-day production, time-to-market is increasingly tied to operational maturity. In many organisations, AI-enabled content and translation tools are being adopted independently across departments, which can increase volume but also introduce inconsistency, duplicated effort, and limited enterprise-wide oversight.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

Vistatec provides the expert services that help enterprises adopt and run the model successfully, including translation programme delivery, localisation engineering, governance frameworks for responsible AI, and ongoing optimisation. This supports structured rollout and continuous improvement aligned to brand, regulatory, and organisational requirements.

XTM provides the AI-driven globalisation platform — the enterprise system for orchestrating global content operations across teams, markets, and channels. The platform applies AI based on content type and risk level, embeds governance and audit trails, routes work between AI and human expertise, and provides reporting that links globalisation activity to cost, quality, and time-to-market.

“Enterprises are under pressure to scale global content fast, but most are operating with a patchwork of tools, teams, and providers,” said Lorcan Malone, CEO of XTM International. XTM provides the AI globalisation platform that orchestrates the full lifecycle — from content intake and governance to execution, quality control, and reporting. With Vistatec as a delivery partner, customers get an end-to-end operating model instead of managing multiple LSPs, disconnected workflows, and inconsistent standards.”

Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale

“This partnership gives enterprises a complete delivery cycle built around XTM’s platform, enhanced by Vistatec’s services across localisation engineering, AI governance, and ongoing optimisation. The result is one consistent model across teams and markets, with clearer visibility into outcomes,” commented Caroline O’Connell, Chief Revenue Officer, Vistatec.

Through the partnership, enterprises can:

● Launch faster while maintaining governance and auditability
● Scale AI globalisation with consistency across teams and markets
● Reduce rework and duplicated effort as content volume grows
● Gain visibility into global content cost, quality, and operational performance
● Position globalisation as a measurable growth enabler

“AI increases speed, but it also increases responsibility,” said Vistatec’s Chief Marketing Officer, Simon Hodgkins. “We support enterprises with governance frameworks, domain expertise, and structured adoption so they can adopt AI safely, deliver results, and keep trust at the heart of it.”

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Predactiv Introduces New Lookalike Modeling Feature In The Predactiv Data Platform For Advertising Success and New Product Development

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Predactiv Introduces New Lookalike Modeling Feature In The Predactiv Data Platform For Advertising Success and New Product Development

The new lookalike modeling capability enables companies to transform proprietary data into scalable, activation-ready audiences, new products, and incremental revenue streams, without the need for complex engineering or extensive in-house resources.

Predactiv announced the launch of Lookalike Modeling, a powerful new feature available in The Predactiv Data Platform. Lookalike Modeling was designed to offer clients a push button approach to a common data challenge. Previously, companies spent significant time and resources building models and scoring files. Predactiv now offers those same capabilities without the heavy lift.

With Lookalike Modeling, organizations can onboard proprietary data into The Predactiv Data Platform and quickly build a model that will find look-a-likes, at scale. The newly built audiences can be distributed for digital activation, leading to increased conversions. Our modeling solution enables advertisers to activate scalable, high-value audiences across omni-channel campaigns, from display to CTV, and drive measurable performance outcomes.

Marketing Technology News: Martech Interview with Meena Ganesh, Senior Product Marketing Manager @ Box AI

Turning Owned Data into Scalable Products

Many organizations own valuable first-party data, but lack the infrastructure or expertise required to model, expand, and commercialize it at scale. Predactiv Lookalike Modeling bridges that gap by enabling users to onboard their data directly into the platform and apply lookalike modeling to expand reach, strengthen signals, and increase the overall value of their data assets.

Through a simplified, guided workflow, users can:

  • Onboard single or multiple seed data securely into The Predactiv Data Platform
  • Automatically create modeled audiences using predictive intelligence and enrichment signals
  • Expand their data to a significantly larger addressable universe
  • Generate powerful audiences for advertising, activation, and analytics

The result could also be a new data product that leads to a new revenue stream.

“Many organizations sit on incredibly valuable data, but lack a practical way to turn it into scalable products,” said Dana Hayes, Jr., CEO of Predactiv. “With Lookalike Modeling, we’re removing that barrier. Predactiv gives data providers and data-rich organizations a faster, more accessible path to transform their owned data into expanded, high-value audiences, and ultimately into new, recurring revenue streams.”

Unlocking New Revenue Streams for Data Providers

For data providers in particular, Lookalike Modeling represents a direct path to monetization. By transforming owned datasets into expanded, modeled audiences, data providers can create differentiated advertising products that appeal to brands, agencies, and platforms seeking high-quality targeting signals.

Instead of selling raw data or limited signals, data providers can scale their data into products that enable them to break into new advertising and activation channels. In effect, Lookalike Modeling offers data providers the fastest path to incremental revenue. Predactiv is the infrastructure layer that enables organizations to evolve from data owners into data product companies.

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

Early Access Now Available in The Predactiv Data Platform

Lookalike Modeling is now available through an early access program in which participants will gain hands-on access to the new capability. Early access partners will work closely with the Predactiv team to help shape the future of modeling-driven data monetization within The Predactiv Data Platform.

In addition, Predactiv can provide custom, managed service modeling solutions that meet the specific objectives of clients and data providers.

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Proofpoint Launches AI-Enabled Discovery & Archive Suite for Small to Medium Businesses

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Proofpoint Launches AI-Enabled Discovery & Archive Suite for Small to Medium Businesses

New Nuclei Suite delivers archiving, AI-driven communications intelligence and optional lexicon-free supervision in a single platform with cost-effective licensing

Proofpoint, Inc., a leading cybersecurity and compliance company, announced the global availability of Nuclei Discovery & Archive Suite, a new digital communications governance and archiving (DCGA) solution purpose-built for modern small- to medium-sized (SMB) organizations. Designed to address the growing regulatory, e-discovery, and operational challenges facing lean IT and compliance teams, the Nuclei Suite combines rapid deployment, powerful enterprise-grade functionality, and cost-effective subscriptions in a cloud-native platform.

“Organizations are frustrated by legacy archiving tools that are complex, expensive, and slow to deliver value,” said Harry Labana, senior vice president and general manager of Proofpoint’s Digital Communications Governance business unit.

As digital communications continue to expand across email, collaboration tools, mobile messaging and social platforms, SMBs are under pressure to retain, govern and investigate content without the staffing or budgets of large enterprises. According to the U.S. Chamber of Commerce, more than half of small businesses say navigating regulatory compliance requirements is negatively impacting their growth, and 47% say they spend too much time on compliance tasks.

The Nuclei Suite directly addresses these challenges with a streamlined experience that enables administrators to deploy the solution and begin capturing data in minutes. “Organizations are frustrated by legacy archiving tools that are complex, expensive, and slow to deliver value,” said Harry Labana, senior vice president and general manager of Proofpoint’s Digital Communications Governance business unit. “The Nuclei Suite delivers an AI-first simple-to-deploy solution that unifies archiving and communications intelligence, helping SMBs quickly identify risk, strengthen compliance and reduce operational overhead.”

Simple: Rapid Deployment and Streamlined Administration

Small- to medium-sized organizations often rely on lean resources to manage IT, security, and compliance. The Nuclei Suite is designed to be deployed in minutes, enabling organizations to quickly begin capturing data with minimal setup. A single, intuitive administrative interface provides a centralized view for managing users, policies, ingestion, and reporting, eliminating the need to navigate multiple consoles or products.

Proofpoint manages ongoing solution updates in collaboration with customers, reducing maintenance overhead. Organizations can also easily ingest legacy data and expand subscriptions to support additional users, digital communications channels, or archive storage as needs evolve.

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Powerful: Archiving and Communications Intelligence Without Enterprise Complexity

While smaller in size, these organizations still require advanced capabilities to support regulatory compliance and investigation readiness. The Nuclei Suite delivers self-service, enterprise-grade functionality, including:

  • Intuitive search to quickly locate and retrieve archived content
  • Litigation hold to preserve data against deletion
  • Data export without added export fees
  • Built-in reconciliation and reporting to track archive health and ingestion status

Unlike traditional supervision platforms built for large enterprises that rely on complex lexicons, manual tuning, and dedicated compliance teams, the Nuclei Suite also offers optional supervision designed specifically for SMBs.

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Its AI-first communications intelligence, including agent-based analysis, identifies conduct, compliance and insider risks across digital channels without lexicon creation or ongoing rule maintenance. Uniquely integrated with Proofpoint Insider Threat Management, the Nuclei suite provides clear visibility into communications risk, strengthening oversight with faster deployment and lowering operational overhead compared to legacy solutions.

Cost-Effective: Transparent Licensing and Built-In Value

The Nuclei Suite is designed to help organizations do more with constrained IT budgets, offering a simple per-user, per-connection licensing model that supports capturing content from more than 80 digital communications channels. For organizations using Microsoft 365, a single connection includes support for Exchange email, Teams, OneDrive, SharePoint, Viva Engage, and Copilot.

Each subscription includes 10 gigabytes of pooled archive storage per user and connection, with the flexibility to add additional storage as requirements grow without complex pricing structures.

Proofpoint was recently named a Leader for the second consecutive time in the 2025 Gartner® Magic Quadrant™ for Digital Communications Governance and Archiving Solutions. Gartner evaluated 14 vendors for its October 2025 report and recognized Proofpoint as a Leader for its Ability to Execute and Completeness of Vision.

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

Truecaller Expands Global Direct Ad Sales With New Exclusive Reseller Partnerships

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Adobe Advertising’s Greg Collison Publishes Framework for Practical AI in Advertising

File:TrueCaller Logo.png - Wikimedia Commons

Truecaller today announced a series of exclusive regional reseller partnerships across Africa, MENA, Southeast Asia and India, marking a significant step in accelerating its global direct advertising sales strategy.

The initiative strengthens Truecaller’s ability to build direct brand relationships across high-growth markets and supports the company’s long-term ambition to scale a more diversified and resilient advertising business internationally

Truecaller has entered into three separate exclusive reseller agreements::

  • 365 Digital will serve as the exclusive reseller for Truecaller Ads in South Africa and Kenya
  • AnyMind Group will cover Ghana, Nigeria, MENA, and Southeast Asia
  • Integrated Media Tech will represent Truecaller Ads across India

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Together, these partnerships expand Truecaller’s international direct sales distribution, enabling brands and agencies to access premium, first-party data-driven mobile advertising solutions across key growth regions.

Fredrik Kjell, COO at Truecaller, said: “In 2025, we spent considerable effort on strengthening the fundamentals of Truecaller Ads’ direct sales capabilities, and I am pleased to announce these important reseller agreements. Truecaller’s internal sales function, combined with strong resellers in multiple regions, is a key component in our plan to grow our direct sales business.”

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Strengthening Direct Sales Across High-Growth Regions

Truecaller today reaches around 150 million users outside India with a growth of 50 % since the end of 2023. The exclusive reseller agreements across Africa, MENA, and Southeast Asia increase the company’s local sales execution capacity in markets where digital advertising demand continues to expand.

By combining Truecaller’s global user base and brand-safe environment with established regional sales partners, the company enhances its ability to scale direct advertising revenue outside its core markets.

Expanding Direct Sales Coverage in India

In India, Integrated Media Tech will expand Truecaller’s direct sales coverage beyond metro regions, strengthening access to regional and mid-sized advertisers and broadening the company’s advertiser base in one of its largest markets.

These partnerships reflect Truecaller’s continued focus on strengthening its global monetization infrastructure. By expanding exclusive direct sales representation across multiple regions, the company advances its strategy to build a more diversified, scalable, and resilient advertising business.

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

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