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Gamma Launches Gamma Imagine to Bring AI-Native Design to the Masses

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Gamma Launches Gamma Imagine to Bring AI-Native Design to the Masses

Gamma Logo

The company is expanding the platform from AI-powered presentations, websites, and documents to include a powerful new AI-native visual creation tool and several other features in its biggest release to date

Gamma, the AI-powered platform for visual communication, announced the launch of Gamma Imagine, a new AI design tool that lets users create standalone, on-brand design assets, such as logos, infographics, diagrams, and social posts, directly inside Gamma. It marks the company’s most significant expansion to date, moving well beyond presentations and documents into the full visual design category. The release also includes a new set of enterprise integrations, bringing Gamma directly into the tools teams already use.

Teams today face mounting pressure to produce more branded visual content, faster, and across more channels than ever. Legacy design tools have responded by bolting AI onto existing workflows, but Gamma Imagine is AI-native at its core. It’s designed to act like a human graphic designer, automatically applying a team’s brand colors and visual identity, with the ability to refine any output using natural language. Users can also upload a reference image to match a style across an entire creation. And while most AI image tools only offer a single output with limited control, Gamma Imagine presents users with multiple creative directions for each asset.

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Additional key features of the launch include:

  • AI-native, remixable templates: Start with any gamma created previously—or one of Gamma’s 100+ new professionally-designed templates—and simply describe the desired changes to get a personalized, fresh version instantly.
  • Smart Charts: Build interactive charts and data visualizations, like bar charts, scatter plots, funnels, and heatmaps, that automatically inherit brand styling.
  • AI Illustrations: Generate and revise branded illustrations, like logos, marketing assets, and social graphics, using natural language prompts.
  • AI Infographics: Create on-brand infographics and diagrams from a text description, ready to use as a standalone asset or inside a presentation or document.

Gamma is also expanding its integration ecosystem to meet professionals in the tools they already use. New integrations include ChatGPT, Claude, Make, Zapier, Atlassian, n8n, Superhuman Go, and Profound, with additional platforms like Glean coming soon. Users can now generate Gamma content, like presentations and documents, directly from their existing AI assistants and workflows.

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“We built Gamma around the belief that anyone should be able to communicate visually without needing a design background or a design team,” said Grant Lee, CEO, Gamma. “This launch is the biggest expression of that vision yet, and with Gamma now living inside the tools where teams already work, the gap between an idea and a ready to share output is virtually nothing.”

To mark the launch, Gamma CEO Grant Lee is embarking on a global user tour, starting in Seoul, Korea on March 17, London, England on March 23, and São Paulo, Brazil on March 26. The tour reflects the international scale of Gamma’s user base: more than 80% of Gamma’s nearly 100 million users are outside the United States, making Gamma one of the most widely used AI creation tools on the planet.

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Informa TechTarget Launches AI Visibility and GEO (Generative Engine Optimization) Content Solutions for the Zero-Click B2B Buyer Journey

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Informa TechTarget Launches AI Visibility and GEO (Generative Engine Optimization) Content Solutions for the Zero-Click B2B Buyer Journey

  • With up to 60% of online searches ending without a click1, B2B companies are seeing website traffic decline, as buyers increasingly use AI to identify and shortlist vendors before engaging directly with brands or sales teams.

  • Despite this changing buyer behavior, Informa TechTarget grew its tech and business audiences across its industry-leading media brands, quadrupling AI-driven audience membership in 2025.

  • The AI Visibility Audit and the GEO Topic Planner—powered by Informa TechTarget’s expertise in audience and content development, market insights, and marketing engagement services—are designed for B2B brands seeking to sustain relevance and build more brand trust in a new era of search.

Informa TechTarget , a leading growth partner for the B2B technology and services sector, announced the launch of two new content strategy solutions: the AI Visibility Audit and the GEO (Generative Engine Optimization) Topic Planner. Designed as part of a strategic partnership to help businesses succeed in the AI era, these innovative solutions empower marketers to enhance their brand’s discoverability, visibility, and authority in an increasingly AI-driven landscape:

  • With the AI Visibility Audit, Informa TechTarget will help marketers understand how audiences encounter their brand through AI, identify visibility and accuracy gaps, and provide an actionable roadmap to improve discoverability, visibility, and authority.
  • The GEO Topic Planner is designed to align brands’ content plans with AI systems’ evolving preferences, to help brands build topical authority and avoid wasted content efforts and marketing spend.

The new solutions are informed by a combination of Informa TechTarget’s expertise in areas spanning content strategy, demand intelligence, and AI; its exclusive buyer intent signal data and insights; and its own experience with AI-driven audience engagement as a publisher. In addition to its brand-to-demand marketing solutions and services, Informa TechTarget manages a diverse portfolio of highly targeted media sites, including Dark Reading, Cybersecurity Dive, and Computer Weekly. In 2025, Informa TechTarget increased AI-driven traffic to these sites by 235%, and quadrupled membership sign-ups from AI referrals.

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“B2B organizations have only just begun to tap into the transformative potential of AI to drive innovation in products, services, and customer engagement. As the indispensable growth partner to the B2B sector, Informa TechTarget is committed to ensuring our client partners are at the forefront of this pivotal shift,” said Gary Nugent, CEO of Informa TechTarget. “We’re in a unique position to move the B2B sector forward in its adoption of, and preparedness for, all the ways in which AI is rapidly changing the B2B marketing and sales landscape, due to our expansive set of market and buyer insights, top-of-the-line content studio, marketing and tech expertise, and expansive network of industry-leading media properties.”

GEO—sometimes referred to as AIO (Artificial Intelligence Optimization), AEO (Answer Engine Optimization), AISO (AI Search Optimization), and LLMO (Language Learning Model Optimization)—is an emerging practice as marketers adapt to the growing trend of zero-click search, or the shift of individual consumer and B2B buyer research from search engines to AI answer engines, such as ChatGPT, Perplexity, Claude, Microsoft CoPilot and Google Gemini. A survey by global consultancy Bain & Company found that “about 80% of consumers now rely on ‘zero-click’ results in at least 40% of their searches” (Bain–Dynata Generative AI Consumer Survey, December 2024). And research by global analyst firm Forrester finds that “B2B buyers are adopting AI-powered search at three times the rate of consumers” (“Messaging for a Zero-Click World,” Forrester Research, Inc., June 10, 2025).

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“Marketers are seeing the need and opportunity to leverage AI search as a channel to drive prospect engagement, but not everyone has the expertise, data, and tools to do so effectively yet,” said Jane Qin Medeiros, General Manager, Brand to Demand, Informa TechTarget. “With these powerful new AI visibility and GEO content solutions, we’re empowering our clients with the latest expertise and tools to ensure their brands are visible, trusted, and aligned with AI-driven shifts in audience behavior.”

“Brands need a partner who understands not just how LLMs evaluate and recommend information, but also how to actually create quality content, or update existing content, that will be deemed valuable by these LLMs—while still telling a compelling human story,” said Mandi Tompkins, Head of Studio by Informa TechTarget. “That’s why our team combines strategic guidance, technology expertise, and multimedia creative talent, so that we can bring brand stories to life where and how audiences engage with them.”

Studio by Informa Tech Target is a full-scope multimedia content studio, powered by 100+ skilled creators, content strategists, tech and AI experts, and a deep understanding of buyer audiences. Formed by the Informa TechTarget merger, it combines talent and complementary capabilities from trade publisher Industry Dive’s studioID and webinar platform BrightTALK’s BrightTALK Studios, for a best-in-class multimodal offering spanning videos, podcasts, events, design, research reports, and more.

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BetterCloud Launches Chrome Browser Extension to Combat AI-Accelerated Shadow IT and De-Risk Resulting SaaS Sprawl

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BetterCloud Launches Chrome Browser Extension to Combat AI-Accelerated Shadow IT and De-Risk Resulting SaaS Sprawl

BetterCloud, the leading platform for SaaS management, announced the launch of its new Chrome Browser Extension, a powerful tool that gives IT teams expanded visibility into their organization’s SaaS ecosystem. The extension directly addresses the growing challenges of shadow IT and shadow AI by discovering unmanaged applications and providing actionable insights to optimize costs and enhance security.

According to a recent survey by Ernst & Young, 97% of technology executives view autonomous AI pursuits as a “high” or “essential” priority. However, the report also revealed that AI adoption is far outpacing the ability to manage it: 78% of respondents confirmed that AI adoption is growing faster than their organization’s ability to effectively manage the associated risks, and over 52% reported that department-level AI initiatives are operating without formal approval or oversight.

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This unchecked enthusiasm for AI is accelerating the very shadow IT and SaaS sprawl that IT, security, and finance teams have been battling for years, as employees bypass traditional controls by signing up for applications outside of SSO and approved procurement channels. This behavior results in hidden risks, wasted budgets, and limited oversight.

Now, if employees can browse it, IT can manage it. BetterCloud’s Chrome Browser Extension delivers SaaS visibility that follows the user, not just the API. The extension is a key component of BetterCloud’s multi-layered discovery approach, which combines data from Single Sign-On (SSO) providers, financial systems, and now, the browser. This provides a complete, 360-degree view of an organization’s entire SaaS portfolio.

“Shadow IT isn’t just a security risk, it’s a major financial drain,” said David Bean, Chief Product and Technology Officer at BetterCloud. “End users move fast, often adopting unsanctioned AI tools or browser-based SaaS without IT involvement. Our Chrome Browser Extension gives IT admins a proactive line of defense, transforming every browser into a trusted visibility point. It’s enterprise-grade visibility without the friction – designed to stop guessing and start governing.”

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BetterCloud Chrome Browser Extension features include:

  • Comprehensive app discovery: Identifies all SaaS applications being used, including managed, unmanaged (Shadow IT), and the recent influx of AI tools, by monitoring URLs, domains, and session activity.
  • App discovery dashboard: Centralizes intelligence within the BetterCloud platform, categorizing discovered apps and providing key metrics like Daily and Monthly Active Users (DAUs/MAUs), frequency of use, and recency.
  • Smart filtering and privacy: Uses Google native allow/block lists to ensure data collection is focused on corporate-related web use, maintaining a crucial balance between security and user privacy.
  • Actionable, automated workflows: Transforms insights into action by triggering automated processes, such as license reclamation which detects inactive users and initiates workflows to ask if they still need their license, automatically deprovisioning access if the answer is no.

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SkrewAI Launches Free Camera App That Uses Physics to Prove Videos Are Real

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SkrewAI Launches Free Camera App That Uses Physics to Prove Videos Are Real

Patent-pending app replaces the default phone camera with a full-featured alternative that captures sensor data during every recording, creating unfakeable proof of human presence

SkrewAI LLC launched SkrewAI Camera, a free full-featured camera app for iOS and Android that takes a fundamentally different approach to the deepfake crisis. Instead of trying to detect AI-generated content after it spreads, SkrewAI lets creators prove their videos and photos are real at the moment of capture — using device sensor data that artificial intelligence cannot fake.

The app records synchronized telemetry from the phone’s accelerometer, gyroscope, and magnetometer alongside every video and photo. On the backend, SkrewAI’s proprietary algorithms and large language models cross-analyze sensor patterns against the visual content itself — verifying that physical motion, orientation, and environmental data are consistent with what the camera recorded. The result is a physics-based proof that a real human held a real device in a real environment.

“Detection asks ‘is this fake?’ We ask ‘can you prove it’s real?'” said Uroš Jojić, founder of SkrewAI. “To forge a SkrewAI-verified video, you’d need to fabricate accelerometer, gyroscope, and magnetometer readings that perfectly match your video content, frame by frame, while running on verified hardware. The physics don’t lie.”

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Key Features

  • Full camera replacement: Video, photo, slow-motion, and timelapse modes with cinematic stabilization, face-aware focus, exposure control, and filters — offering more shooting options than the stock camera app while adding verification to every capture
  • Seamless local integration: All verified media saves directly to the phone’s gallery and syncs to the cloud in the background — no app switching, no workflow changes
  • Advanced backend analysis: Proprietary algorithms and LLMs cross-reference sensor telemetry against visual content for multi-layered authenticity verification
  • Screen recording detection: Identifies attempts to re-record manipulated content displayed on another screen
  • Social proof pages: Every capture generates a shareable verification URL with interactive sensor visualizations, device data, and GPS mapping — a TikTok-style format designed for social sharing where anyone can verify authenticity with one tap
  • Copyright protection: Timestamped, sensor-verified proof of original creation for content ownership disputes

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SkrewAI is building machine learning models trained exclusively on cryptographically verified authentic content — a growing dataset of proven human recordings no other company can replicate. With social features including vertical-scroll browsing and community engagement on verification pages planned for upcoming releases, SkrewAI is positioning verified content as shareable social proof, not just a security tool.

SkrewAI Camera is free to download and free to use, with iOS as the primary platform. Blockchain-backed proof certificates and C2PA Content Credentials interoperability are also in development. The technology is patent-pending (US Patent Application No. 19/409,651).

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Blackbaud Launches New Category of AI Agent with General Availability of its First Agent for Good™

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Blackbaud Launches New Category of AI Agent with General Availability of its First Agent for Good™

The Development Agent, designed to help personalize donor engagement and grow giving at scale, is the first-ever expert agent to be embedded in a dedicated social impact platform

Blackbaud, the world’s leading provider of AI-powered solutions for social impact, announced the general availability of the Development Agent, Blackbaud’s first Agent for Good™, to Raiser’s Edge NXT® customers in the U.S., with availability internationally and in other products to follow. Building on its leadership trajectory as the category creator for systems of record in the fundraising market, Blackbaud is now defining a new category of agentic AI for social impact: one where expert digital teammates are native to a sector-specific platform, making them the first agents of this type able to execute fully autonomous social impact workflows under human supervision.

With the Development Agent, Blackbaud moves the sector beyond bolt-on agents, which can introduce data gaps and security risks, and AI assistants that offer insights but don’t meaningfully add capacity. The Development Agent – operating autonomously, but with human oversight like any team member – can identify, cultivate and engage donors with individualized, timely, and brand-aligned outreach at a scale fundraising teams could never achieve alone.

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“I believe the social impact sector has a monumental opportunity to benefit from the advancements in agentic AI,” said Mike Gianoni, President, CEO and Chairman of the Board at Blackbaud. “If used responsibly and effectively, agentic AI has the potential to completely redefine what’s possible when people unite around shared purpose. Together, the social impact sector could unlock the greatest advancement of purpose-driven missions in human history. We are all in on supporting our customers as the world’s most trusted and powerful AI engine for social impact.”

The Development Agent is embedded within the trusted Blackbaud solution, which leverages decades of proprietary philanthropic data and deep sector-specific contextual intelligence. Customers can be confident in the Development Agent’s ability to operate within the ethics, behaviors and judgment patterns that shape real-world decisions, which is critical to maintaining and strengthening donor trust. Delivering individualized outreach and building donor trust at scale has the potential to grow revenue exponentially.

“The Development Agent can steward all donor relationships, but I know many of our customers are going to be particularly excited about the potential for cultivating mid-tier donors,” said Paul Goldstein, Senior Director and Head of AI Growth at Blackbaud. “Mid-tier donors are a high-potential group because these individuals are often affluent enough to give more, but don’t necessarily have a deep enough personal affinity with the organization to inspire them to do so. The challenge is, fundraising teams rarely have the capacity to personally steward or engage this large donor segment the way they do major givers. The Development Agent changes this, offering those teams the capacity to tap into this massive potential to build that authentic personal connection to the mission and grow giving.”

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Brian Otis, Vice President for University Advancement at the University of New Haven, which participated in Blackbaud’s Early Access Program for the Development Agent, noted, “We’re using the Development Agent to accelerate donor connections and make those connections more impactful in a shorter period. This will help us accelerate fundraising across all levels.”

Blackbaud plans to expand The Development Agent next to Blackbaud Enterprise Fundraising CRM™ and ultimately introduce other Agents for Good across its product suite. Blackbaud Agents for Good are just one element of a broader strategy to transform what is possible for social impact with AI. The company will expand Agents for Good across core business needs for social impact teams; introduce more ways to expand optionality of access to Blackbaud intelligence; and continue its rapid expansion of Blackbaud AI capabilities, including Chat for Blackbaud AI. Blackbaud customers have never had so many options to leverage AI-driven technology to support their outcomes.

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Contentsquare Launches New AI Agent And Analytics Capabilities to Understand Customer Journeys Across LLMs, ChatGPT Apps, Web, and Mobile

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Contentsquare Launches New AI Agent And Analytics Capabilities to Understand Customer Journeys Across LLMs, ChatGPT Apps, Web, and Mobile

Digital analytics leader expands its platform with configurable AI agents, ChatGPT app and prompt analytics, visibility into LLM traffic, and conversation intelligence — giving organizations a 360-degree view of AI-driven and support experiences

AI is rapidly changing how customers discover and interact with brands. Journeys that once happened on websites and mobile apps now begin inside AI assistants, chatbots, and conversational platforms like ChatGPT. For brands, this creates a new challenge: how do you understand customer journeys that now span humans, LLMs and AI agents?

Contentsquare is expanding its platform to answer that question. New capabilities bring together signals from websites, mobile apps, AI assistants, and support conversations into one connected system — giving teams a 360 view of modern customer journeys.

“Customer experiences today aren’t just human-driven — they involve LLMs, AI agents, and multiple digital touchpoints that act alongside them,” said Jonathan Cherki, CEO and Founder of Contentsquare. “Brands that want to succeed in this agentic era need visibility into every interaction; from conversations and support tickets to social feedback and AI agent behavior. With Sense Analyst and Contentsquare’s 360 experience intelligence, teams can finally connect the dots, prioritize what matters most, and act in real time to improve experiences, retention and growth.”

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Sense Analyst: Configurable AI Agent delivers powerful insights in context

Sense Analyst, Contentsquare’s analytics agent, is now fully configurable to each organization’s goals and priorities. Rather than simply reporting metrics, Sense Analyst proactively identifies opportunities for improvement, surfaces insights in context, and helps teams focus on the actions that will have the greatest impact on customer experience and business performance.

Sense Analyst provides:

  • Personalized insights aligned with each user’s projects, KPIs, and industry context
  • A customizable Newsroom where AI agents work 24/7 to analyze experience data, detect issues and growth opportunities, and surface the most important actions based on business impact
  • Scheduled delivery of insights directly to email inboxes so teams stay informed without constantly monitoring analytics tools

Visibility into the emerging ChatGPT app ecosystem

As AI assistants become a new channel for discovery and engagement, more brands are developing apps within LLMs.

Contentsquare now provides visibility into activity within ChatGPT apps, showing how customers discover brands through prompts, interact within these experiences, and move between AI assistants and websites on their path to engagement and conversion.

For the first time, brands can understand whether customers are discovering them through AI assistants, if those interactions lead to meaningful engagement, and how those journeys evolve over time.

These insights help organizations answer critical questions such as:

  • Which prompt generates conversion and revenue ?
  • How should we optimize experiences built within AI ecosystems?
  • Should we invest more in LLM apps or AI assistant experiences?
  • Are customers returning through these channels?

“At Accor, we are committed to bringing the ALL Accor experience to where our guests are. Being a first-mover on ChatGPT allows us to redefine digital hospitality, and partnering with Contentsquare ensures we understand these new AI behaviors from day one to deliver a seamless, personalized journey,” said Yassine HACHEM, SVP E-commerce & Customer Engagement at Accor.

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New LLM analytics

The rise of AI agents is also changing how websites are accessed and navigated. Contentsquare now provides analytics for LLM- and agent-driven traffic, giving organizations visibility into whether visitors are human or AI-driven—and how these new traffic sources engage with their digital properties.

This includes insights into:

  • The traffic that originates from LLM chatbots
  • Navigation and conversion for LLM-referred traffic

These insights help organizations understand how AI agents interact with their sites and ensure the right information is available as AI plays a growing role in discovery and purchasing decisions.

Conversation intelligence connects feedback, reviews, behavior and revenue

As more customer journeys begin with a conversation, Contentsquare helps teams connect conversations, behavior, and business outcomes.

Contentsquare’s new conversation intelligence solution, powered by its recent Loris acquisition, captures every customer conversation across support tickets and calls and in-product chats to reveal what’s really happening in the customer experience and how customers perceive the brand.

It is now further enriched with signals from reviews and social posts, giving brands a broader view of customer feedback and connecting conversations with digital behavior to reveal what’s working, where customers struggle, and what changes will have the biggest impact.

By enriching experience data with customer voice and business impact, organizations can better understand:

  • What customers are saying, their sentiment, and where they encounter friction
  • How they go from conversation to website and vis and versa
  • Which changes will have the biggest business impact on experience and loyalty

“Contentsquare’s AI capabilities, particularly Session Replay Summaries, have been game-changing for us. They help us analyze user behavior faster and communicate friction points to teams across the organization. Combined with the platform’s visual analytics, we’ve achieved a 31% improvement in conversion rates and made our entire redesign process data-driven rather than subjective,” said Alexandra Alessi, VP of Brand.com at Olaplex.

Customer insights now available wherever people work

Contentsquare continues to extend experience intelligence beyond the platform and into the tools teams already use every day — including Claude, Cursor, Microsoft Copilot, and other AI assistants — so insights are available right in the flow of work. Using the Model Context Protocol (MCP), Contentsquare makes experience data accessible to AI agents and LLM‑powered tools, enabling teams to ask natural questions like “Where is friction highest this week?” and get answers instantly without switching systems.

Contentsquare unveiled its latest platform updates at CX Circle London, marking the first stop of its global tour bringing together digital and customer experience leaders.

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Ping Identity: Only 9% of Organizations are Prepared for Continuous AI-Driven Identity Threats

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Ping Identity: Only 9% of Organizations are Prepared for Continuous AI-Driven Identity Threats

An independent global study finds that organizations meeting verified trust criteria achieve 51% higher transaction conversion and 43% lower fraud losses.

Ping Identity, a leader in securing digital identities for the world’s largest enterprises, released independent research showing that organizations that have operationalized continuous, contextual identity verification materially outperform peers across revenue growth, fraud reduction, compliance readiness, and workforce productivity as AI-driven interactions scale.

The white paper, conducted by International Data Corporation (IDC) and sponsored by Ping Identity, highlights a clear maturity gap between perception and execution, while more than half of organizations believe they lead in digital trust, only a small fraction has operationalized continuous, contextual identity verification at scale.

Based on a global survey of 794 organizations, IDC found that enterprises meeting verified trust criteria delivered statistically significant performance advantages across core enterprise metrics:

  • Customer registration conversion: 51% higher
  • Compliance readiness: 44% stronger
  • Fraud losses: 43% lower
  • Workforce onboarding time: 47% faster

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What is verified trust, and why is it important? 
IDC defines verified trust as “a continuous assurance that every digital interaction, whether human or machine/AI agent, is tied to an independently verified identity and remains trusted over time.” It enforces continuous, contextual verification for every identity-sensitive event using signals such as zero-knowledge biometrics with liveness detection, device posture, behavioral intelligence, and AI-aware risk analysis.

According to the white paper, this model “transforms identity from a static gate into a dynamic trust fabric.” This shift moves identity from a perimeter authentication event to a runtime control plane governing every authorization decision.

“In today’s threat landscape, identity can no longer be treated as a single authentication event. In an AI-mediated enterprise, every authorization decision must be continuously verified, contextualized, and governed,” said Peter Barker, Chief Product Officer at Ping Identity. “This research confirms that organizations embracing continuous, contextual verification reduce risk while unlocking measurable business value. Verified trust is how enterprises close the gap between confidence and control in an AI-driven world.”

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Closing the Verified Trust Gap
Despite the measurable gains, IDC found a significant maturity gap between perception and reality. The study highlights several critical divides between leaders and early-stage adopters:

  • Perception vs. reality: 51% of organizations believe they are ahead of peers in establishing trusted digital identity, yet only 9% meet IDC’s criteria for verified trust leaders.
  • Verification coverage: 69% of leaders verify 75-100% of trust flows, compared to 16-19% of early-stage adopters.
  • Adoption at scale: 94% of leaders operate at enterprise scale across trust flows, while early-stage organizations remain confined to pilot deployments.
  • Passwordless maturity: Leaders embrace biometrics, passkeys, and digital wallets at 80–83%, while starters hover below 30%.

“Verified trust is no longer a design choice – it’s the prerequisite for operating at scale in AI driven environments,” said Emanuel Figueroa, Senior Research Analyst at IDC. “As AI increases autonomy and complexity, identity becomes the mechanism for control, accountability, and confidence. Organizations that establish this foundation early will move faster with less risk; those that don’t will accumulate cost, friction, and regulatory exposure over time.”

As enterprises accelerate AI adoption, verified trust across human and AI identities is foundational to maintaining control and accountability across every interaction. Ping Identity enables enterprises to operationalize verified trust across workforce, customer, partner, and AI identities—establishing a unified trust control plane that adapts in real time as risk, behavior, and machine interactions evolve.

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Opsera Unified Insights Now Available in the Microsoft Marketplace

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Opsera Unified Insights Now Available in the Microsoft Marketplace

ustomers can deploy Opsera to accelerate innovation and business transformation with unified integration across Microsoft products

Opsera, the leader in Agentic DevOps, announced the availability of Unified Insights in the Microsoft Marketplace, the unified online destination for customers to buy trusted cloud solutions, AI apps, and agents to meet their business needs. Microsoft customers can now discover and deploy trusted Opsera solutions through Microsoft Marketplace, with smooth integration and streamlined management across Microsoft Azure and other Microsoft products.

Opsera Unified Insights empowers enterprises to safely operationalize and govern AI across the modern, heterogeneous software development lifecycle (SDLC) and help them adopt/transform into AI-SDLC. Powered by reasoning AI agents, Opsera helps organizations translate metrics into business value, fix delivery friction that squanders AI productivity, and quantify ROI of AI investments. Opsera is already helping Fortune 1000 companies on Microsoft Azure improve 24/7 operational resilience by reducing Time to Pull Request by 85% and increasing deployment frequency by 65%.

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Opsera is an Agentic DevOps Platform designed for Microsoft Azure environments, enabling enterprises to orchestrate and automate software delivery across Azure, GitHub, Microsoft Teams, and hybrid environments. Powered by Hummingbird AI, Opsera provides intelligent orchestration and governance to unify toolchains, standardize delivery workflows, and accelerate time-to-value for development teams in the Azure ecosystem.

“We are excited to bring Opsera’s Agentic DevOps platform and intelligent AI agents to the Microsoft Marketplace. Enterprises are increasingly moving from traditional SDLC to an AI-driven software delivery lifecycle (AI-SDLC), and Opsera empowers this transformation by automating complex CI/CD workflows, enforcing security and compliance, and providing actionable insights across every stage of development. By integrating with the Microsoft ecosystem, we help customers unlock faster, safer, and more intelligent software delivery, turning AI adoption into tangible business outcomes,” said Kumar Chivukula, Co-founder and CEO of Opsera

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“Microsoft Marketplace helps organizations and partners move faster, work smarter, and grow by connecting them with the right solutions—all in one trusted place,” said Cyril Belikoff, vice president, Microsoft Azure Product Marketing. “We’re happy to welcome Opsera’s solutions to the growing Microsoft Marketplace ecosystem.”

Microsoft Marketplace is a single destination to find, try, and buy trusted cloud solutions, AI apps, and agents to meet your business objectives. Choose from a growing collection of solutions tailored to your unique needs, available both in Marketplace and directly within Microsoft products.

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Convr AI Powers Underwriters with Actionable Insights, Faster

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Convr AI Powers Underwriters with Actionable Insights, Faster

As the leader in artificial intelligence (AI) for commercial insurance, Convr equips customers with a conversational AI assistant embedded directly into the underwriting workbench.

The Generative AI approach supports underwriting analysis by helping teams dig deeper into submission data and uncover actionable insights. Those insights can then be acted upon immediately — informing changes, updating the submission, creating tasks, or taking other necessary steps — so underwriters can move forward efficiently.

Purpose-built on the Convr Context Engine — comprised of a commercial insurance ontology, knowledge graph, and semantic layer that powers a multi-line schema — this unique foundation enables the Generative AI to deliver high-performing interactions out of the box with minimal model dependencies showing a holistic view of the risk with ease and confidence.

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How Convr AI works
The Generative AI module lets underwriting teams discuss submissions interactively and complete action steps directly within the submission. The AI-powered assistant reviews both the data in a submission and relevant public data available to Convr. It then creates a summary with key observations for the underwriting team, and complete the remaining steps needed to finalize the submission.

The technology is designed to enhance underwriting efficiency and accuracy as the Generative AI streamlines day-to-day tasks by instantly retrieving submission details, summarizing risk data, and answering underwriting questions in real time.

“This is similar to ChatGPT where we can ask any observations or questions about a submission and the result is an accurate account or summary of the results,” said Harish Neelamana, Co-Founder and President at Convr. “Following a prompt, it can actually take an action and finalize the submission for the underwriter.”

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Whether a customer is reviewing a complex commercial policy or triaging new submissions, the Generative AI module helps underwriters work smarter, not harder all within the Convr AI ecosystem. And conversations with the AI Assistant are memorialized in the underwriting file making it easy for an underwriter to analyze and improve its usage.

This workbench feature marks a pivotal moment in commercial insurance as Convr advances the industry from manual underwriting to technological innovation.

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Kore.ai Launches Agent Management Platform to Bring Governance and Control to Enterprise AI

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Kore.ai Launches Agent Management Platform to Bring Governance and Control to Enterprise AI

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Kore.ai, a provider of agentic applications and a market-leading enterprise AI platform, announced the launch of its Agent Management Platform, a unified command center designed to govern, monitor, and manage AI agents and AI systems across the enterprise.

As organizations rapidly deploy AI and multi-agent systems, many are encountering “AI sprawl,” a phenomena analysts describe as dozens of AI initiatives across different teams, tools, and clouds without centralized visibility or governance. Gartner predicts that by 2028, enterprises will operate thousands of AI agents across various business functions, making centralized management, policy enforcement, and value measurement critical for the responsible adoption of AI.

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The Kore.ai Agent Management Platform provides enterprises with a single operational layer to manage AI systems across frameworks, clouds, and development environments, including LangGraph, CrewAI, AutoGen, Google ADK, AWS AgentCore, Microsoft Foundry, Salesforce Agentforce, and proprietary systems. It consolidates AI observability, governance enforcement, performance monitoring, and value measurement, enabling organizations to move from fragmented AI experimentation to controlled, enterprise-scale deployment.

Two core capabilities distinguish Agent Management Platform from other emerging solutions. First, the platform provides a comprehensive evaluation studio that allows enterprises to test agent behavior, workflows, and outcomes before production deployment, helping teams reduce uncertainty and accelerate time to reliable deployment. Second, AMP is designed to operate across heterogeneous AI environments. While similar governance offerings from established players are typically limited to their own ecosystems and many startup solutions have limited connectivity with enterprise applications, Kore.ai’s agnostic architecture and deep integration capabilities enable enterprises to connect and govern AI systems built across multiple frameworks, tools, and platforms.

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“AI agents are rapidly becoming the new software workforce inside enterprises,” said Prasanna Arikala, CTO and Head of Products at Kore.ai. “But without centralized governance, enterprises risk losing visibility and control over how AI operates across the organization. The Agent Management Platform introduces a new operational layer for enterprise AI, giving leaders the ability to manage AI agents with the same discipline, transparency, and accountability as any other critical business system.”

The new AMP platform integrates with AI agents built across leading frameworks and ecosystems, enabling organizations to manage heterogeneous AI environments through a unified control plane. Enterprises can now track AI performance and costs, enforce governance policies consistently, detect anomalies or drift, and align AI initiatives with measurable business outcomes.

“AI is quickly becoming core infrastructure for how enterprises operate,” said Raj Koneru, CEO and Founder of Kore.ai. “But scaling AI responsibly requires more than powerful models; it requires governance, visibility, and accountability. With the Agent Management Platform, we are helping enterprises turn AI from isolated experiments into a trusted, enterprise capability that delivers real business value.”

Designed to work across multi-agent environments and heterogeneous AI ecosystems, the Kore.ai Agent Management Platform provides organizations with a centralized foundation to govern AI adoption as it scales across the enterprise.

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Noonlight Upgrades Video Monitoring Solution with AI Person Filtering and Advanced Verification

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Noonlight Upgrades Video Monitoring Solution with AI Person Filtering and Advanced Verification

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Two new capabilities cut video noise, reduce false dispatches, and accelerate issue resolution, without missing real emergencies.

Noonlight, an innovator in intelligent emergency response and professional monitoring solutions, announces two new features for its Verify API which powers its video monitoring solution, designed to help video security providers deliver smarter, more proactive protection to end users.

Two new capabilities to Noonlight’s Verify API cut video noise, reduce false dispatches, and accelerate issue resolution, without missing real emergencies. www.noonlight.com

Verify adds a human verification layer to video-triggered events, enabling trained Noonlight agents to review incidents before emergency response is dispatched. By pairing advanced analytics with professional monitoring, Verify reduces non-actionable video noise and helps agents resolve real threats faster — without increasing operational burden or false dispatches.

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The new Verify features include AI Person Filtering, which automatically screens incoming video and dismisses clips with no person detected, eliminating the cost and time of reviewing empty motion alerts. When an event is escalated to a live monitoring agent, Advanced Verification provides deeper context through extended footage and live camera access, along with the ability to deter a situation in real time before an alarm is ever created. The result: fewer disruptions for end users, fewer unnecessary police dispatches, faster alarm resolution.

“The burden of responding to an emergency should never fall on the end user, and unnecessary disruptions should never affect the people our partners are trying to protect,” said John Tassone, President of Noonlight. “What we’ve built is a smarter way to deliver the right context to agents at exactly the right moment — so they can filter out the noise, act decisively on real situations, and prevent emergencies from escalating wherever possible. That’s what automatic safety looks like in practice.”

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AI Person Filtering

Noonlight uses a proprietary AI model to scan incoming video clips and automatically dismiss events with no person, ensuring that non-actionable footage is never sent to monitoring agents. By scanning all video at hundreds of frames per clip, Noonlight’s AI model detects even brief human appearances, delivering 99% recall and 97% precision — meaning it almost never misses a person and is almost always correct.

For partners already using AI-based filtering, Noonlight’s model delivers incremental noise reduction, while supporting vendor consolidation.

Advanced Verification

Events that require video verification often do not require emergency dispatch. Advanced Verification enhances Noonlight’s workflow by providing agents additional context, including extended footage up to 90 seconds before the event and live camera look-ins enabling them to more quickly identify potential threats.

When appropriate, agents can initiate active deterrence through talkdown via the camera — de-escalating situations before alarms are triggered and emergency response is dispatched.

This deeper context results in faster intervention and a better experience without compromising safety. Early data indicates advanced verification with talkdown reduces total false alarms by 45%. In 37% of cases, the person left on their own and in 8%, agents determined the person was an authorized employee — preventing unnecessary alarms while ensuring real threats are not missed.

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Similarweb Expands Ecommerce and Digital Shelf Analytics with Retail Intelligence Suite

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Similarweb Expands Ecommerce and Digital Shelf Analytics with Retail Intelligence Suite

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Similarweb Retail Intelligence unifies data on shopper behavior with digital shelf dynamics for Amazon marketplaces and 650+ online storefronts

Similarweb launched a new Retail Intelligence suite of retail analysis tools combining Amazon IQ (formerly Similarweb Shopper Intelligence) with Cross-Retail IQ coverage of 650+ online stores and marketplaces. New digital shelf analysis capabilities provide an understanding of product mix, availability, and pricing across stores and marketplaces.

Brands need to understand what shoppers need, where they are, how to improve product visibility, and when to invest in retail media. Retail Intelligence combines shopper behavioral data with digital shelf and pricing signals for a complete view.

The unified view that Similarweb Retail Intelligence creates is more important than ever as the AI-driven revolution continues to shape how consumers discover products and decide whether or where to buy them. Combined with the growth of retail media and marketplace fragmentation, brands and sellers are finding it harder than ever to understand where demand is forming, how competitors are winning, and what actions they can make to improve sales performance. The emerging Universal Commerce Protocol, which allows AI agents to make purchases from online stores, signals yet another transformation that will make the kind of content, stock, availability, and pricing optimization Retail Intelligence enables more important than ever.

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“AI is transforming the industry, but equally significant is how online retailers are reshaping their business models by following Amazon’s lead, operating as marketplaces and launching retail media networks,” said Marta Sulkiewicz, VP, Emerging Solutions at Similarweb. “That means brands need to understand what shoppers need, where they are, how to improve product visibility, and where and when to invest in retail media. Retail Intelligence combines shopper behavioral data with digital shelf and pricing signals to give companies a complete view, helping them turn insight into strategy and execution.”

For more than five years, Similarweb has been helping brands understand how to grow their sales on Amazon while helping retailers compete better in an online world where Amazon is a dominant player. Amazon IQ continues to deliver analysis of the world’s largest online marketplace for the US, the UK, Canada, France, Germany, and Italy.

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Retail Intelligence adds Cross-Retail IQ product, category and brand analytics for more than 650 global retailers. This also includes on-site search keyword optimization to surface what consumers are actively searching for that lead them to specific products.

New digital shelf analytics provide in-depth analysis of product availability and pricing to Cross-Retail IQ that Similarweb previously offered only for Amazon. In addition, both Amazon IQ and Cross-Retail IQ now offer the option of digital shelf automation that brands can employ to automatically reprice products as competitive dynamics change. That kind of automation can be the only way of staying competitive during a price war or retaining a favored “buy box” placement as the top recommended product in a category.

Retail Intelligence provides brands with clear content and pricing recommendations to improve product discovery and sales. Retailers can use the same data to identify gaps in product assortments and in-demand brands, while benchmarking inventory and pricing against the competition and optimizing their own performance.

“Similarweb’s Retail Intelligence acts as our lighthouse. It gives us the clarity to see category shifts across brands, on-site search consumer behavior, and competitor dynamics – all in one view,” said Ben Kaminski, Cofounder and Chairman at Essor, which is in the business of nurturing and growing online businesses.

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Prudent AI Launches Automated Rental Income Analysis, Fully Integrated with Fannie Mae Income Calculator

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Automating the complete rental income workflow — from document intake to submission-ready output — delivering instant, Fannie Mae-aligned calculations in a single console

Prudent AI announced the launch of automated rental income analysis within its Upfront Income platform, natively integrated with Fannie Mae’s Income Calculator. Prudent AI fully automates the end-to-end rental income workflow — from document upload through calculation, validation, and submission-ready output.

“This isn’t just integration with a calculator; it’s the full operationalization of rental income intelligence across the lending lifecycle. Lenders can now capture this opportunity without the operational strain.” – Jayendran GS, Prudent AI

Rental income has long been one of the most operationally demanding areas of mortgage underwriting. Lenders processing investors, multi-property borrowers, and non-W2 income profiles have historically relied on manual reconciliation of Schedule E filings, Form 8825, and property-level records — before manually underwriting or entering figures into spreadsheets or calculators by hand. The process is slow, error-prone, and a leading source of repurchase risk. Prudent AI removes every step of that friction.

The platform automatically extracts rental income data from source documents, submits to Fannie Mae for calculation, validates outputs before they reach the underwriter, and packages results in a submission-ready format for automated underwriting workflows. Calculations meet Fannie Mae’s standards and are eligible for representation and warranty relief.

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Three capabilities that set Prudent AI apart:

  • Complete Workflow Automation: Intake → calculation → validation → submission-ready findings in one seamless system — no spreadsheets, no manual data entry, no rework cycles
  • Universal Rental Income Coverage: Supports Schedule E, Form 8825, multi-property investors, and complex ownership structures with equal precision
  • Instant Compliance Confidence: Pre-emptive validation flags exceptions before they become repurchase risks, creating consistent and auditable income treatment across every file

While other vendors offer partial rental income support through manual workbook integrations, Prudent AI delivers it . The competitive advantage is immediate: Most platforms do extraction, perform calculations, and pass results. Prudent AI closes the loop operationalizing income intelligence across the entire underwriting lifecycle in a single system.

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“Income complexity, especially for rental and self-employed borrowers, has forced lenders to turn away profitable business for too long. We’ve removed that barrier entirely. This isn’t just integration with a calculator; it’s the full operationalization of rental income intelligence across the lending lifecycle. Lenders can now capture this opportunity without the operational strain.”

— Jayendran GS, Co-Founder & CEO, Prudent AI

“Full automation changes everything. Lenders get consistent; Fannie Mae-aligned rental income calculations in seconds — our AI handles the entire complexity every time. The result is faster cycle times, stronger pull-through, and underwriting teams focused on exceptions rather than manual calculation.”

— Srikanth Rajaraman, Co-Founder, Prudent AI

Rental income automation within Upfront Income is available now for all Prudent AI clients. Beyond rental income, Upfront Income delivers liquidity analysis, critical alerts, and agency switch capabilities — giving lenders a comprehensive view of borrower eligibility from the very first interaction. Agency switch enables lenders to seamlessly evaluate loans across Fannie Mae, Freddie Mac, FHA, VA, and USDA guidelines, automatically aligning calculations to investor and agency-specific requirements so the best-fit loan path is identified from the start. The platform integrates seamlessly with existing LOS environments, requiring no workflow disruption. Lenders across retail, wholesale, and correspondent channels can begin capturing the full value of automated income decisioning immediately.

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Persistent Launches AI-Powered Generative Molecules and Virtual Screening Solution Powered by NVIDIA

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Persistent Launches AI-Powered Generative Molecules and Virtual Screening Solution Powered by NVIDIA
Reimagining early-stage drug discovery leveraging NVIDIA BioNeMo Framework

Persistent Systems, a global Digital Engineering and Enterprise Modernization leader, announced it is working with NVIDIA to accelerate the development and deployment of AI-powered solutions for the Healthcare and Life Sciences (HLS) industry. The collaboration will help HLS organizations advance computational drug discovery and improve research outcomes using Generative AI and advanced analytics.

HLS organizations are under increasing pressure to drive innovation while operating in highly complex, regulated and data-intensive environments. Combining Persistent’s deep domain and engineering expertise with the full-stack NVIDIA AI platform, Life Sciences enterprises can move from AI experimentation to real-world production deployments in mission-critical environments.

Persistent will leverage NVIDIA AI Enterprise for specialized Life Sciences R&D use cases, including preclinical research. By enabling high-fidelity molecular simulation and virtual screening at scale, the collaboration applies AI to model and reason real-world biological and chemical behavior before it is realized in real-world wet laboratory environments.

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As part of this collaboration, Persistent will build and deploy production-grade Agentic AI applications for computational drug discovery using NVIDIA NeMo. Specifically, Persistent has created a Generative Molecules and Virtual Screening (GenMoIVS) solution, powered by the NVIDIA BioNeMo platform and NVIDIA NeMo Agent Toolkit. GenMolVS will deliver AI-driven molecular simulations that model the physical and chemical properties of molecules using large domain-specific models and create intelligent agents to streamline real-time drug discovery workflows. These agentic workflows enable continuous decisioning across virtual screening, candidate prioritization, and downstream experimental planning, helping research teams translate digital simulations into informed wet laboratory experiments. This simulation-led approach allows Life Sciences organizations to de-risk early-stage discovery, accelerate experimental cycles and improve downstream success rates in clinical development pipelines.

Persistent is planning to use NVIDIA Nemotron open models for further enhancement of its GenMolVS solution. Furthermore, to deploy production-grade AI applications, Persistent will use NVIDIA accelerated computes, servers, NVIDIA AI Enterprise and NVIDIA NIM microservices. Together, these capabilities will expedite cost-effective development of applications with cost-effective scaling options, with highly accurate AI outputs embedded directly into enterprise workflows. This infrastructure enables production-grade simulation and inference at scale, supporting real-time scientific decisioning in highly regulated research environments.

Through this collaboration, Persistent will also expand its AI and LLM engineering capabilities by leveraging NVIDIA AI infrastructure, training resources and certification programs to deliver increasingly sophisticated data and AI platforms for clients.

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Ganesh Nathella, Executive Vice President and General Manager – HLS Business, Persistent

“Healthcare and Life Sciences organizations need to discover new therapies faster, but traditional R&D is too slow and labor-intensive. By combining our GenMolVS solution with NVIDIA full-stack AI platform, we enable BioPharma clients to use generative molecules and virtual screening in production so they can move from months-long experiments to AI-driven discovery in days, using simulation-led intelligence to guide real-world experimentation without compromising on scientific rigor or compliance.”

John Fanelli, Vice President – Enterprise Software, NVIDIA

“To meet the urgent global demand for new therapies, the healthcare and life sciences industry is rapidly moving toward AI-driven computational research and discovery. By leveraging the full-stack NVIDIA AI platform, Persistent is empowering biopharma companies with production-grade agentic systems for molecular simulation and virtual screening.”

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Smartly Signs Letter of Intent to Acquire INCRMNTAL

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Smartly Signs Letter of Intent to Acquire INCRMNTAL

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Integration will combine creative and media orchestration with always-on incrementality measurement across social, commerce, and CTV

Smartly announced it has entered into a letter of intent to acquire INCRMNTAL, a pioneering AI-powered incrementality measurement platform that delivers real-time insights into the incremental impact of marketing investments across channels without relying on user-level data or tracking.

“With INCRMNTAL, Smartly enables marketers to connect what’s happening in their business outcomes in real time with how they optimize media, creative, and campaigns, so they can see performance as it happens and take immediate action.” Laura Desmond, CEO.

As brands activate across social, commerce, and premium CTV, understanding what actually drives incremental growth has become increasingly complex. By combining INCRMNTAL’s real-time incrementality insights with Smartly’s platform that enables advertisers to turn insights into action across channels, marketers can continuously direct investment to what drives business outcomes. The integration will translate incrementality signals into real-time planning and optimization within Smartly, helping brands and agencies allocate budgets with greater confidence.

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“Marketing leaders are demanding better measurement for performance and accountability,” said Laura Desmond, CEO of Smartly. “Incrementality is becoming increasingly important in a world where traditional approaches are challenged to move at the speed of AI and the changing consumer journey. With INCRMNTAL, Smartly enables marketers to connect what’s happening in their business outcomes in real time with how they optimize media, creative, and campaigns, so they can see performance as it happens and take immediate action.”

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INCRMNTAL’s AI-powered always-on methodology analyzes natural fluctuations in campaign activity instead of forcing marketers to exclude audiences, pause campaigns, or run formal experiments. The solution complements marketers’ existing measurement tools, including marketing mix modeling (MMM) and multi-touch attribution (MTA).

With this acquisition, Smartly will reinforce its position as the platform that connects creative, media, and intelligence, helping marketers orchestrate performance with confidence.

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Appier Releases Whitepaper on the Future of Autonomous Marketing with Agentic AI

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Ava C. Ivy Advances Future of Work with NVIDIA-Recognized AI Platform

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How agentic systems reshape marketing through continuous decision loops and synergies 　

Appier, an AI-native AaaS (Agentic AI as a Service) company, announced the release of its latest whitepaper, “The Future of Autonomous Marketing with Agentic AI.” The report explores how agentic AI is emerging as a new operating layer for modern marketing organizations, shifting AI from reactive assistance toward autonomous planning, execution, and continuous optimization, further reinforcing Appier’s market position as a leader in the Agentic AI field.

From Automation to Autonomous Execution
Marketing is approaching a structural inflection point. This shift is not defined by incremental feature releases or model upgrades, but by a fundamental change in how AI systems operate within organizations.

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As customer journeys become less linear and channel ecosystems grow more complex, marketing teams face a growing “Autonomy Gap”—the imbalance between manual human workflows and the sheer velocity of digital signals. Appier’s whitepaper demonstrates how agentic AI closes this gap by moving beyond simple “if-then” automation. Through continuous data iteration, closed-loop decision cycles, and coordinated execution frameworks, it effectively narrows this autonomy gap.

The report includes a deployment example in which activation timelines were reduced from three days to under one hour — representing up to a 24x improvement in operational velocity in those specific scenarios.

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Beyond Large Language Models: The ‘Pilot’ Steering the AI Engine
The report clarifies the distinction between large language models (LLMs) and agentic AI architectures. While LLMs provide the core reasoning and content generation—acting as the powerful “engine” of the system—they lack the ability to independently execute complex goals or adapt behavior over time.

The evolution toward agentic AI introduces the “pilot” to this engine. By connecting reasoning with a coordinated system of action and learning, agentic AI transforms reactive LLMs into self-directing, adaptive marketing systems. This structural shift restores the “dignity of strategy” to marketers, liberating them from the burdens of manual orchestration and allowing them to focus on high-impact creative generation and strategic planning.

The Agentic Ecosystem: Elevating Strategy over Operations
The whitepaper suggests that the MarTech ecosystem is moving toward connected, autonomous systems that bridge the gap between insight and action. In this model, specialized agents across data intelligence, marketing activation, and conversational commerce work in a “closed-loop” growth engine, allowing real-time signals to move directly into coordinated execution across all touchpoints.

This evolution meaningfully changes how marketing teams allocate their expertise. As agentic systems autonomously handle high-volume operational tasks—such as audience discovery, multi-step test setups, and real-time campaign adjustments—marketers are liberated from manual orchestration. This transition allows teams to pivot toward higher-value responsibilities, including strategic oversight, creative storytelling, and cross-functional governance. In this environment, execution becomes less linear and more adaptive, functioning as a collaborative system aligned to measurable business outcomes.

A New Marketing Operating Model: Toward an Agentic Workforce
Appier views agentic AI not as a short-term trend, but as the foundation of a new marketing operating model. The core challenge for modern brands is no longer just access to data, but the ability to translate that insight into coordinated action at superhuman speed.

The future of marketing is not about adding more tools; it is about building a connected ‘Agentic Workforce’ where intelligence and execution exist in a continuous, self-improving loop. This transition enables organizations to move from reactive assistants to self-driving growth engines, ultimately delivering unprecedented business ROI and operational scale while allowing human talent to focus on high-impact creative decisions.

“The core challenge today is not simply access to data, but the ability to translate insight into coordinated action,” said Chih-Han Yu, CEO and Co-founder of Appier. “As marketing environments grow more complex, embedding autonomy into decision loops enables organizations to respond with greater agility while maintaining strategic oversight. This whitepaper outlines how agentic systems can help teams align execution more closely with business objectives.”

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TrafficGuard Appoints Scott Thomson as Head of AI to Drive Next-Generation Fraud Prevention and Platform Innovation

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TrafficGuard Appoints Scott Thomson as Head of AI to Drive Next-Generation Fraud Prevention and Platform Innovation

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Thomson brings over 10 years’ experience in AI technology and strategy from Google, Adobe, and Telstra to one of the industry’s earliest AI-native ad fraud prevention platforms. 

TrafficGuard, a leading platform in AI-powered digital ad verification and invalid traffic (IVT) prevention, has appointed Scott Thomson as Head of AI. Thomson will oversee and accelerate the execution and embedment of AI into TrafficGuard’s platform and processes, building on more than eight years of machine learning innovation that has positioned the company at the forefront of ad fraud detection since its founding. He brings over a decade’s worth of experience in technology and AI innovation, having previously worked for Google, Adobe, and Telstra, as well as founding strategic consultancy firm SCRYPTID.

TrafficGuard was among the first ad verification platforms to deploy machine learning models for real-time invalid traffic detection, processing billions of data points to identify fraud patterns invisible to rules-based systems. That early investment in AI infrastructure now serves as the foundation for the company’s next generation of detection capabilities – engineered to combat an increasingly sophisticated threat landscape.

“We are delighted to welcome Scott in an executive capacity at a pivotal time for TrafficGuard. His deep expertise in AI spanning Google Cloud, generative AI strategy, and enterprise innovation is directly aligned with where we are taking this business,” said Mat Ratty, CEO of TrafficGuard. “Scott’s appointment accelerates our ability to execute our AI roadmap and deliver advanced fraud prevention to advertisers globally. We look forward to the contribution he will make as we enter our next phase of growth.”

Scott Thomson will support TrafficGuard’s expansion of its AI capabilities, ensuring the platform is well positioned to manage ad exposure and fraud risks  as the digital advertising ecosystem undergoes its most significant shift in a decade. He will leveragehis extensive experience in AI strategy and innovation to accelerate product development and commercial execution, bringing to market advanced solutions that monitor, detect, analyse, and respond to invalid traffic, while driving adoption across new verticals and channels.

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Scott Thomson, Head of AI, Traffic Guard said: “Having served as a non-executive director since early 2024 with TrafficGuard, I’m looking forward to adding my experience and guidance more directly to our already significant team. The AI arms race in ad fraud is real. Fraudsters are already deploying agentic bots and generative AI to evade detection at scale, and staying ahead requires deep AI expertise and a platform built for continuous evolution.

The appointment comes at a critical inflection point for the industry. The rapid proliferation of agentic AI – autonomous bots capable of browsing, clicking, filling out forms, and mimicking genuine user behaviour, is fundamentally reshaping the threat landscape for digital advertisers. Unlike traditional bot traffic, agentic bots operate with human-like intent patterns, making them significantly harder to detect using conventional verification methods. Industry analysts project that AI-generated invalid traffic will account for an increasingly material share of digital ad spend waste over the coming years, creating an urgent need for AI-native detection that can evolve at the same pace as the threats it defends against.

“TrafficGuard has a strong foundation in machine learning-driven detection, and I’m here to accelerate what’s next,” said Thompson. “Expanding our AI-powered capabilities beyond fraud detection into intelligent optimisation tools that help advertisers not just protect their spend, but maximise its performance. We’re evolving the platform to cover new channels and deliver actionable insights that turn fraud data into a genuine competitive advantage. Tackling ad fraud has become increasingly essential for advertisers, and I can’t wait to be part of the talented team building the future of ad verification.”

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This strategic appointment will further strengthen TrafficGuard’s commitment to driving innovation in ad fraud prevention. It supports TrafficGuard’s wider global channel growth strategy, following its recent expansion in the United States and the appointment of CPO Miguel Lopes. The company plans to significantly expand its team, enabling brands to boost their revenue and confidently scale advertising campaigns by eliminating invalid traffic. As brands allocate record budgets to digital channels, TrafficGuard’s mission to ensure every ad dollar reaches a real human has never been more commercially critical.

TrafficGuard, a flagship product of Adveritas Ltd (ASX:AV1), is a pioneering force in advertising technology, delivering AI-driven solutions that revolutionise digital ad fraud prevention and performance optimisation. Leveraging advanced machine learning, artificial intelligence, and big data, TrafficGuard empowers businesses to combat invalid traffic and ad fraud, protect advertising budgets, and enhance campaign efficiency, driving measurable return on investment (ROI). Positioned at the forefront of the rapidly growing ad tech market, TrafficGuard’s cutting-edge software has been recognised by prestigious industry awards, including The Drum, Martech Breakthrough Awards, and Mobile Marketing. Dedicated to setting new standards in transparency and security, TrafficGuard is shaping the future of intelligent, data-driven digital advertising.

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Over The Top SEO Launches Dedicated Generative Engine Optimization Division, Becoming One of the First Agencies to Offer Full-Service AI Search Optimization

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Over The Top SEO Launches Dedicated Generative Engine Optimization Division, Becoming One of the First Agencies to Offer Full-Service AI Search Optimization

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As AI-generated answers replace traditional search results, Guy Sheetrit says the window for establishing brand authority in AI systems is measured in months, not years.

Guy Sheetrit, CEO and Founder of Over The Top SEO, announced the formal launch of the agency’s dedicated Generative Engine Optimization (GEO) division — a purpose-built practice designed to help enterprise brands, ecommerce companies, and professional services firms establish and defend their visibility inside AI-powered search platforms including ChatGPT, Google Gemini, and Perplexity AI.

The new division represents one of the industry’s first full-service GEO offerings, combining AI citation optimization, entity authority building, structured data architecture, and ongoing AI visibility monitoring into a single managed service.

AI search platforms are experiencing explosive growth. Google Gemini’s user base is expanding 12 percent quarter-over-quarter. Perplexity has captured nearly six percent market share in under two years. ChatGPT has added 400 million weekly active users in twelve months. Across these platforms, roughly one in three queries is commercial.

The critical difference: traditional search presents a page of links. AI search names specific brands inside a generated answer — often before the user ever sees a link. For brands that aren’t named, the result is functional invisibility.

“If ChatGPT doesn’t mention your brand when someone asks about your industry, you effectively don’t exist for that person. And every month you wait, a competitor is building the citation history and topical authority that will make them the default recommendation. This is the same inflection point we saw with traditional SEO twenty years ago — except the timeline is compressed from years to months.”

— Guy Sheetrit, CEO & Founder, Over The Top SEO

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The Compounding Citation Advantage

OTT’s internal research indicates that brands establishing a Generative Engine Optimization presence in 2026 will hold a three-to-five-times citation advantage over competitors who enter in 2027. The gap compounds because of how AI models learn: brands that are cited frequently become more visible to the model, which leads to more citations, which further cements their authority in the model’s knowledge base. Late entrants must overcome not just their own absence, but the entrenched presence of competitors who moved first.

The parallel to early search engine optimization is instructive. In the early 2000s, the brands that invested in SEO first captured dominant positions that took competitors years to challenge. The difference with Answer Engine Optimization and GEO is speed — what took years in SEO will take months in the AI era.

Understanding the SEO-to-GEO Shift

GEO is not a replacement for traditional SEO. It is a parallel discipline addressing a different discovery mechanism entirely. OTT has published an in-depth analysis of the differences in its GEO vs Traditional SEO guide.

In traditional SEO, success means ranking on a page of links and earning a click. In GEO, success means being the brand named inside an AI-generated answer.

The ranking signals are fundamentally different. Traditional SEO relies on backlinks, keyword placement, page speed, and user experience. GEO relies on topical authority, structured data, AI citation patterns, and content architecture that large language models can reliably interpret. The competitive dynamics differ too: traditional SEO rankings shift with every algorithm update, while GEO citation authority compounds over time as AI models retrain on updated data.

OTT’s position is that brands need both — and that agencies with deep SEO expertise are best positioned to deliver GEO, because the technical foundations overlap significantly.

Marketing Technology News: Cross-Department Collaboration with Marketing Workflow Automation: Enhancing Alignment Between Sales, Customer Service, and Marketing Teams

Who Is Most at Risk

Enterprise and Fortune 500 organizations risk being displaced by AI-native competitors. For these brands, GEO is a defensive strategy as much as a growth strategy — protecting brand equity from erosion in AI-generated recommendations.

High-growth ecommerce brands competing for AI-powered purchasing decisions. When a consumer asks an AI assistant for the best product in a category, GEO determines whether their brand appears in the answer.

Professional services and SaaS companies where a single AI citation can generate significant pipeline value.

“We’ve been doing this longer than almost anyone, and we’ve never seen a shift this significant. The move from ten blue links to AI-generated answers changes everything about how brands get discovered. Everyone else is still writing the blog post. We already built the division.”

— Guy Sheetrit

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TruGen AI Launches Enterprise AI Teammates, Redefining How Organizations Work at Scale

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MTS Staff Writer
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TruGen AI Launches Enterprise AI Teammates, Redefining How Organizations Work at Scale

TruGen AI logo

AI teammates with face, voice, vision, and persistent memory built for enterprises to enable human-like collaboration, deep workflows, and organizational memory

TruGen AI, an enterprise AI platform company, announced the general availability of its AI Teammates technology, a new category of enterprise AI that goes far beyond copilots, chatbots, and task-based agents and emerging video agents. TruGen AI Teammates are built to work like real people: joining live calls, executing complex workflows, collaborating across teams, and retaining institutional knowledge that grows more valuable over time.

The future of enterprise AI isn’t another tool or copilot. It’s AI teammates that join meetings, collaborate with teams, execute work in real systems, and learn how the organization operates.”

— Hemanth Kumar, CEO, TruGen AI

The announcement marks a pivotal shift in how enterprises think about artificial intelligence in the workplace. Where conventional AI tools offer suggestions and surface-level assistance, TruGen Teammates take action, operating as active participants within an organization’s existing processes, tools, and teams. Unlike standalone assistants or video agents designed primarily for conversational interaction, TruGen Teammates actively participate in real enterprise workflows.

Marketing Technology News: MarTech Interview with Lee McCance, Chief Product Officer @ Adverity

What Makes AI Teammates Different

TruGen AI Teammates are equipped with capabilities that set them apart from any AI product currently on the market:

1. Face, Voice, and Vision – Teammates participate in live video calls, read visual context, and communicate naturally with human team members,combining the conversational capabilities of video agents with real workflow execution.
2.Persistent Memory – Unlike stateless AI tools, TruGen Teammates retain organizational knowledge across every interaction, building an institutional memory that compounds in value over time.
3. Workflow-Level Integration – Teammates embed directly into existing enterprise processes, executing tasks end-to-end rather than assisting from the sidelines.
4. Measurable Productivity Lift – Designed to deliver quantifiable results at the squad level, across sales, operations, HR, finance, and more.

Marketing Technology News: What is a Full Stack Marketer; What MarTech Matters Most to Full Stack Marketers?

A New Category of Enterprise AI
TruGen AI Teammates are not an upgrade to existing AI tools – they represent an entirely new category. Where productivity software automates tasks and copilots draft responses, and video agents enable conversational interactions through avatars or live video interfaces, TruGen Teammates execute complete workflows from start to finish, across the functions that matter most to enterprise operations:

1. Sales – Conducting live product demos, qualifying prospects, sharing Slides/documents and booking meetings in real time.
2. Human Resources – Screening and interviewing candidates at scale, without sacrificing quality.
3. Customer Success – Onboarding new accounts, filling forms and providing consistent, knowledgeable support.
4. Engineering – Autonomously completing coding tasks such as writing features, fixing bugs, generating tests, reviewing pull requests, and shipping production-ready code.

Building Organizational General Intelligence :
At the core of TruGen’s platform is a proprietary Organizational Memory Graph – a continuously growing intelligence layer that captures how a business actually operates. Over time, TruGen Teammates learn an organization’s unique workflows, terminology, relationships, and institutional knowledge, becoming increasingly embedded and indispensable.
TruGen calls this Organizational General Intelligence: AI that doesn’t just perform tasks, but understands the context, culture, and complexity of the organization it works within. This approach extends beyond traditional automation or video agents, enabling AI systems that both communicate naturally and execute meaningful work.

Enterprise-Grade Security and Governance :
TruGen is built for the governance and compliance requirements that enterprise IT, legal, and security teams demand. Key platform capabilities include:

1. VPC Deployment – Full private cloud deployment within the customer’s own secure AWS environment.
2. Governance-First Architecture – Role-based access control, approval gates, and complete action traceability across every Teammate interaction.
3. Complete Data Protection – Customer data never leaves the controlled environment.
4. Compliance Certifications – SOC 2, HIPAA, ISO, and GDPR certified.

Positioning Within the Emerging AI Workforce Landscape :
The emerging AI workforce ecosystem includes several approaches to automating work with AI. Platforms such as Stack AI, Cognition AI (Devin), Tensol and other focus on autonomous Enterprise agents capable of executing tasks. In parallel, companies including Tavus, Anam AI, Synthesia, Beyond Presence, D-ID and HeyGen focus on conversational avatars, and AI-generated video interactions.
TruGen AI represents the next evolution of this landscape. Rather than focusing solely on assistive tools, autonomous agents, or standalone video agents or visual avatars, TruGen is building enterprise AI teammates – AI systems that communicate naturally while participating directly in organizational workflows, executing tasks across enterprise systems, and accumulating institutional knowledge through an evolving Organizational Memory Graph.

A Shift Toward Human–AI Collaboration  :
Industry analysts increasingly view that AI is transitioning from automation tools to collaborative systems embedded within organizational workflows. TruGen.ai presents AI teammates represent a foundational step toward scalable digital workforces where AI operates alongside human teams as functional contributors.

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LinkSpree Launches an AI Accountability Engine to Turn Link Dashboards Into Living Systems

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MTS Staff Writer
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LinkSpree Launches an AI Accountability Engine to Turn Link Dashboards Into Living Systems

LinkSpree

The visual link operating system now adds AI context, smart reminders, and an accountability layer that turns saved links into actions, not just a list.

LinkSpree, the visual link operating system for power users, agencies, and creators, announced the launch of its AI Accountability Engine — a major platform update that transforms passive link dashboards into intelligent, goal-aware systems that actively help users act on the information they collect online.

We’re not building a bookmark manager. We’re building the operating system for how people interact with the internet, one that understands your goals and holds you accountable to them.”

— Ignacio Guzman

The update introduces a fundamental new capability: AI Context. For the first time, users can attach natural-language intent to any saved link or entire dashboard — explaining not just what a link is, but why it matters and when it needs to be acted on.

Examples of AI Context in practice:

— “Check the weather one week before my trip on December 1.”
— “Review this Salesforce report every morning before 12 PM.”
— “Use this tutorial to finish learning Python.”

LinkSpree’s AI engine analyzes this context and takes action: sending contextual reminders, surfacing high-priority links, adjusting link urgency, elevating critical resources into higher visibility positions, and asking accountability questions when important links are ignored. If a user saves a link without explaining why, the AI may prompt: “Why did you save this?”

Marketing Technology News: MarTech Interview with Lee McCance, Chief Product Officer @ Adverity

From Bookmark Manager to Internet Operating Layer

“Most link tools are passive — they hold information but never help you do anything with it,” said Ignacio, founder of LinkSpree. “The AI Accountability Engine changes that. Your dashboard now understands your goals and your deadlines. It notices when you’re falling behind and helps you get back on track. We’re not building a bookmark manager. We’re building the operating system for how people interact with the internet.”

Three Behavior Modes and Personalised AI Personalities

Users control exactly how proactive the AI should be through three behavior modes. In Suggest Mode, the AI recommends improvements without making changes. In Hybrid Mode, the AI executes low-risk adjustments automatically while flagging bigger decisions. In Auto Mode, the AI actively reorganises the dashboard to keep it aligned with the user’s intentions and timeline.

To make the experience feel human rather than robotic, users can also choose between AI personality styles: Assistant, Coach, or Strict Accountability Partner, each with a distinct tone and level of directness. All AI interactions appear as in-dashboard popups, keeping the experience contextual and non-intrusive.

Marketing Technology News: What is a Full Stack Marketer; What MarTech Matters Most to Full Stack Marketers?

Designed Around Real Behavior

The AI engine reviews dashboards on login and periodically throughout the day, scanning for patterns such as missed deadlines, unused links, and approaching tasks. The system is built on the insight that the gap between saving information and acting on it is where productivity collapses, and that a visual link dashboard is uniquely positioned to close that gap.

Platform Foundation: The Visual Link Dashboard

The AI Accountability Engine builds on LinkSpree’s existing platform, which already offers visual link dashboards with colour-coded cards, one-click shareable link hubs, white-label portals for agencies, team workspaces with role-based permissions, and link reminders. The platform is used for employee onboarding, resource hubs, client link portals, private knowledge bases, and creator content hubs, use cases previously served by static Notion pages, scattered Slack threads, or generic bookmark tools.

LinkSpree is positioned as a direct alternative for the millions of users displaced by Mozilla’s shutdown of Pocket in July 2025, offering a shareable, team-ready, and now AI-powered environment that far exceeds what passive bookmark managers provided.

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