Fast Video Cataloger 10.3 Connects AI Assistants to Local Video Libraries

September 2, 2026

Version 10.3 links assistants such as Claude to a self-hosted video catalog through the Model Context Protocol, and adds Trained Tags: AI keywords you teach.

Fast Video Cataloger has released version 10.3 of its Windows video cataloging software, connecting AI assistants such as Claude directly to users’ local video libraries through the Model Context Protocol (MCP). An assistant given access to a catalog can be asked for footage in plain language; it searches the library, inspects scene thumbnails to verify what is in a shot, and organizes the results — while the catalog and the video files remain on the user’s own machines.

That has been the promise of AI search for years. What makes this version of it different is that it works against your own library, on your own hardware, today.”

— Robert Lönn, co-founder

MCP is the open standard, now adopted across the AI industry, that lets assistants operate external tools. With version 10.3, Fast Video Cataloger brings that capability to self-hosted video libraries: the assistant works against the user’s own catalog server rather than a cloud service, so an entire archive — including its transcripts, cast and scene metadata built up over years — becomes something an assistant can be asked about, with the media staying in place.

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AI ASSISTANTS AS A SEARCH INTERFACE

The connector, fvc-mcp, is included in the installer and works against the Fast Video Cataloger server. Through it, an assistant can search videos, scenes, transcripts and cast; retrieve and visually inspect scene thumbnails; apply and remove keywords; and gather clips into bins from a single plain-language request.

The release adds the infrastructure that makes unattended access practical. Server API keys are long-lived credentials with their own permission level — including read-only — created and revoked by an administrator in the User Management window or over the REST API; only a fingerprint of a key is stored, and the number of active keys follows the number of user accounts the license allows. Videos already in a catalog can now also be indexed through the REST API, so a script or an assistant can work through a backlog on its own, including transcription and AI analysis.

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“Ask for ‘the interviews where we talk about the merger, from last spring’ and the assistant finds them, checks the thumbnails, and puts the clips in a bin,” said Robert Lönn, co-founder. “That has been the promise of AI search for years. What makes this version of it different is that it works against your own library, on your own hardware, today.”

TRAINED TAGS: CUSTOM AI KEYWORDS FROM TEN THUMBNAILS

Version 10.3 also introduces Trained Tags. Instead of being limited to the keywords a built-in AI model knows, a user selects around ten thumbnails that show the subject — a particular set, a recurring location, a specific product — right-clicks, and chooses Teach trained tag. The software then finds that subject across the catalog and keywords it automatically, during indexing or as a batch. A tag can match whole frames or attach to a detected object, so two similar-looking subjects can be told apart, and a wrong match is corrected with a right-click that itself teaches the tag. There is no dataset to annotate and no training run.

AUTOMATIC TAGGING THAT ADAPTS TO THE LIBRARY

The AI image tagging introduced earlier in version 10 can now run while videos are indexed, so new material arrives in the catalog already tagged. Tagging also now calibrates itself per catalog: the software learns what is typical for that particular library, which makes tagging more selective on collections dominated by one kind of material, such as screen recordings or interviews, with nothing to configure.

Fast Video Cataloger is a companion to non-linear editors such as Premiere Pro and DaVinci Resolve, not a replacement: a search and organization layer for footage libraries, with visual browsing, structured metadata and full local control. Version 10.3 also includes a long list of fixes and refinements; the full list is in the version history in the user guide.

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OroCommerce Launches OroMomentum to Reset the Cost and Speed of Enterprise B2B Commerce

Globe Newswire

September 2, 2026

OroCommerce Launches OroMomentum to Reset the Cost and Speed of Enterprise B2B Commerce

OroMomentum is already delivering 2x faster upgrades and cutting development and extension modernization time by 50%

OroCommerce today announced OroMomentum, a major transformation in how customers implement, customize, upgrade, and realize value from OroCommerce.

OroMomentum brings AI into the custom implementation of OroCommerce, reducing the time and cost required to build the capabilities each business needs while preserving the reliability, flexibility, and control expected from an enterprise platform.

This changes the value equation for enterprise B2B commerce. Businesses can now pursue more of the capabilities they need, adapt the platform faster, and reduce the time and cost required to keep it current.

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OroCommerce has already applied OroMomentum across development and customer work, with measured results that include:

2x faster major-version upgrades
50% less custom development time on average

“AI has made everything OroCommerce has built over the past decade more valuable than ever, and OroMomentum is how we are putting that advantage to work for our customers,” said Jary Carter, CEO and Co-Founder of OroCommerce. “OroMomentum is dramatically reducing the total cost of ownership of OroCommerce and is more transformational than any software release we have ever made.”

These gains help businesses implement OroCommerce faster, deliver more of the capabilities they need, and reduce the effort required to maintain and upgrade the platform over time.

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OroMomentum marks a new stage for OroCommerce. The platform’s capabilities remain the foundation, but the speed, cost, and effort required to put those capabilities to work have fundamentally changed. OroCommerce is inviting businesses to see what those gains could mean for their own projects.

Bring us your current B2B commerce implementation plans and let us show you how OroMomentum could deliver more capability in less time and at a lower cost.

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Quickbase Launches Form Builder to Help Field Teams Create Mobile Forms in Minutes

Globe Newswire

September 2, 2026

Quickbase Launches Form Builder to Help Field Teams Create Mobile Forms in Minutes

New FastField feature turns voice dictation, paper forms, PDFs, and written prompts into working mobile forms, giving field teams a faster, simpler, and more flexible way to put field data to work

Quickbase, the intelligent operations platform, today launched AI Form Builder, a new FastField feature designed to give field teams a faster, simpler way to create mobile forms. The new Form Builder adapts to how teams prefer to capture information in the field, from uploaded PDFs and photos of existing paper forms to voice-to-text and written prompts.

Field teams often rely on paper and clipboards to document inspections, repairs, site checks, and safety workflows – particularly on jobsites where rain, sun glare, or limited Wi-Fi connectivity can make digital forms difficult to use. AI Form Builder gives teams a fast and simple way to digitize that work without starting from scratch.

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“Creating and managing forms has traditionally been a manual, time-intensive process for teams in the field, but data capture is critical when you’re managing hundreds of inspections, audits, service records, or safety checks,” said Jeff Stay, Vice President of Product Management, Mobile at Quickbase. “For more than 25 years, Quickbase has focused on putting the power to improve operations into the hands of the people doing the work. We designed AI Form Builder to be an accelerator, an intelligent assistant, and a subject matter expert by your side, so – instead of spending hours building forms – teams can focus on collecting the data that keeps field operations moving.”

AI Form Builder is designed for teams that need to inspect assets, check sites, document repairs, collect signatures, attach photos, and submit reliable data without slowing down field work. By removing the technical complexity of traditional drag-and-drop tools, the builder helps organizations digitize operational workflows with less training and fewer manual steps. The new form builder offers three core capabilities designed to accelerate form creation and improve field data capture:

Builds forms with voice or text. Users describe what they need, and AI Form Builder generates a working form with the required fields, rules, and calculations.
Digitizes paper forms and PDFs. Existing PDFs or photos of paper forms can be uploaded and converted into editable digital versions without rebuilding from scratch.
Works in the field: Users can open any existing form on a phone or tablet and describe the changes they want to make. The assistant quickly adds fields, updates logic, and restructures sections based on their direction. Users can then review, undo, or discard changes before publishing.

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“We had a $5 million contract base across maintenance. Depending on the job, that could be anywhere from two pieces of equipment to 2,000 pieces of equipment that [our team] was having to input all the data for,” said Missy Boyce, Director of Service Operations at Comfort Systems USA. “With FastField, now we have something that gives us a bit more stability, gives technicians a better experience, and gives clients more confidence.”

AI Form Builder is now available on all FastField plans. To start building a form, please visit: https://www.quickbase.com/fastfield/ai-form-builder.

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Comcast Technology Solutions Unveils Next-Gen Video AI Applications for Broadcasters, Content and Streaming Providers, and Operators

PRNewswire

September 2, 2026

Comcast Technology Solutions Unveils Next-Gen Video AI Applications for Broadcasters, Content and Streaming Providers, and Operators

Building on CTS’ VideoAI™ platform, new suite of end-to-end AI-powered workflow applications brings premium content processing capabilities to manage and monetize entire content libraries
Applications include video verticalization, localization, smart chapters, metadata enrichment, quality control, and intelligent clip generation
Designed to work across CTS’ portfolio, including Comcast Media360™, Comcast Sports360™, and standalone Cloud Video Platform deployments

In advance of the 2026 IBC Show, Comcast Technology Solutions (CTS) unveiled a comprehensive suite of end-to-end AI-powered workflow applications for broadcasters, content owners, and operators worldwide. Building on the foundation of CTS’ VideoAI™ platform, these new applications deliver AI as practical, integrated solutions to real-world content production and management challenges.

In a market increasingly crowded with standalone AI vendors and start-ups, CTS aims to serve as a single, trusted partner for end-to-end AI-enhanced content processing, video management, and monetization — backed by the proven reliability and scale of Comcast Technology Solutions and 24/7 managed services. CTS provides end-to-end, production-ready workflow integration that embeds AI capabilities into complete, deployable applications — requiring no additional specialist AI knowledge or developer requirements. The new applications are designed to work across CTS’ full product portfolio, including Comcast Media360™ for broadcasters and content owners, Comcast Sports360™ for sports rights holders, and standalone deployments of CTS’ Cloud Video Platform (CVP) for operators.

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“The video industry is ready to move past AI hypotheticals and onto production-ready applications that solve real problems, generate new business opportunities, and integrate seamlessly into the workflows they already rely upon,“ said Bart Spriester, Senior Vice President and General Manager of Streaming, Broadcast, and Advertising at Comcast Technology Solutions. “Whether for creating vertical videos, localization, advanced advertising, metadata enrichment, quality control, or intelligent clip generation, CTS stands ready to help our customers benefit from AI to better manage and monetize their content catalogs. CTS VideoAI is based on implementations deployed by some of the world’s largest media companies, and we’re excited to roll out this package of new applications designed to help our customers of all sizes benefit from that experience in new ways.”

Next-Gen AI Applications

The next-gen AI applications from CTS include:

Video Verticalization: Using AI-driven smart cropping technology, CTS can automatically convert landscape video content into portrait format for social media syndication, intelligently identifying the “action center” of each scene and making intelligent cut or pan decisions without manual editor intervention.
Localization of Regional Languages: Leveraging AI-generated voices, CTS can automate dubbing workflows that previously required costly and time-consuming human voice talent. The application can extract audio from soundtracks, preserve ambience and music, translate dialogue, select appropriate voice matching, relay the finished audio back into the content, and generate automated captions.
Smart Chapters: For distribution-ready workflows combining content and ad insertion, CTS can create AI-driven detection of intros, credit rolls, and ad break candidates, enhanced with weighting algorithms to select the optimal set of ad break points and automatically trigger stream conditioning, transcoding, and packaging.
Metadata Enrichment: CTS will automatically generate scene and asset-level metadata and pass it into Cloud Video Platform metadata files, enabling semantic and natural language search capabilities. Rather than traditional keyword searches, content owners will be able to unlock intent-based discovery, allowing customers to find content based on themes, moods, and contextual queries.
Automated Quality Control: CTS will also offer AI-powered “virtual eyes-on-glass” QC checks — including black screen detection, missing audio identification, and other content integrity verifications. This capability can enable cost-effective QC across a significantly larger portion of the content catalog compared to traditional human monitoring approaches.
Intelligent Clipping: CTS will also offer natural language query-driven clip identification and selection, allowing editors to find key moments within long-form content. This could include sports highlights, social media clips, or trailer generation, and then trigger automated processing and publishing workflows.

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CTS’ new applications are integrated into CTS’ Cloud Media Processing (CMP) engine, a flexible, programmable workflow orchestration layer. Processors can be inserted as pre-processors, content manipulation steps, or post-processors, enabling customers to activate individual AI capabilities within their existing workflows without rebuilding their technology stack. For broadcasters and content owners using Comcast Media360, the AI-enhanced workflow processors integrate with existing channel origination and content supply chain services. For sports organizations leveraging Comcast Sports360, capabilities such as intelligent clipping and metadata enrichment are directly applicable to live and on-demand sports content workflows. For MVPDs and operators, these applications will be made available through CTS’ Cloud Video Platform. Each of these applications is expected to be made commercially available throughout 2026-2027 to support customer deployments.

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Optimizely Introduces Purpose-Built AI Models for Marketing that Deliver Frontier-Level Quality at a Fraction of the Cost

PRNewswire

September 2, 2026

Optimizely Introduces Purpose-Built AI Models for Marketing that Deliver Frontier-Level Quality at a Fraction of the Cost

Rather than depending on generic LLMs, a new family of post-trained AI models allows marketers to use the right model for the right task

Optimizely, the AI platform for marketing, announced a family of purpose-built, post-trained AI models built specifically for marketing work. In early testing, these models were able to achieve a 10x greater cost efficiency compared to state-of-the-art LLMs.

Frontier models are built to be generalists, capable of a wide range of tasks, but that breadth comes at a cost. Marketing tasks are nuanced and domain specific, so a general model carries more parameters, pulls in extra context, and spends tokens it never needs. Optimizely’s approach strips away the excess from the state-of-the-art models, leaving models built specifically for marketing tasks.

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Marketers often ask the same general-purpose AI models to do a variety of different marketing jobs, from writing campaign copy to analyzing experiments and interpreting customer behavior. But knowing how to perform a task is different from understanding the brand behind it. Optimizely’s global study of more than 2,000 B2B marketing leaders found that 53% say current AI tools can capture the facts of a brand but struggle to capture the emotional resonance that helps it connect with audiences. Optimizely’s models were built around a different premise: AI can take on more of the work without stripping away the context and understanding that make marketing distinctive.

“The initial results of our AI Lab have surpassed our expectations,” said Imran Yousuf, Head of AI Engineering at Optimizely. “We believe post-training models is the long-term solution to the challenging cost vs. quality debate. Our purpose-built family of models is built to get work done fast and cost-effectively, without sacrificing quality. Customers shouldn’t have to think about which model to use, when, or how. They can just trust that our agent platform will apply the right model for the right use case, so their time and their budget go toward the work that actually grows the business.”

Optimizely is also introducing Mark-Bench, an open source benchmark built to evaluate AI performance for the marketing domain specifically. The company’s intent is for marketers, researchers, and other AI providers to test their own models and agentic harnesses against, giving the industry a shared, objective way to measure both cost and performance on marketing-specific work. Mark-Bench tests models directly against 285 tasks spanning 15 marketing functions, and over 6,000 criteria including writing a press release, creating a social post, and writing email copy.

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Optimizely’s models draw on Mark-IQ, the Agent Platform’s data layer, which is built on each organization’s own context, including experimentation history and web analytics, so every model has the brand’s context without a marketer having to rebuild it with every prompt. As evaluated by Mark-Bench’s all-pass rate on default configurations, Optimizely Agent Platform scored 67% compared to 60% for Claude Code at 2x lower cost.

“The problem with generic harnesses is that they’re good for general use and productivity but very inefficient when it comes to domain specific work,” said Shafqat Islam, President of Optimizely. “Marketing is a unique domain that requires agent harnesses to be specialized. By delivering frontier quality at lower costs, our customers finally have a way to scale agentic marketing to meet real-world demands rather than getting stuck in pilot purgatory.”

This announcement comes on the heels of Optimizely’s Virtual Teammates launch yesterday, giving marketers both the specialized models and the role-specific AI coworkers to put them to work.

As usage scales, selecting the right model for each task, rather than defaulting to one general-purpose model, keeps costs predictable across large volumes of agentic work. Optimizely’s models are coming soon to all Agent Platform customers.

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Sinch announces Mailgun Inspect for email testing on Salesforce’s AgentExchange

PRNewswire

September 2, 2026

Sinch announces Mailgun Inspect for email testing on Salesforce's AgentExchange

Sinch Mailgun, part of Sinch AB, (publ), released a new integration for Agentforce Marketing that allows marketers to test how emails render across inboxes and devices without leaving Salesforce.

Built specifically for Agentforce Marketing, formerly known as Marketing Cloud Next, as a native Lightning Web Component, Mailgun Inspect enables marketing teams to preview and test emails across more than 100 email clients and devices directly within their existing workflow. The integration helps enterprise marketers catch rendering issues before campaigns are sent, reducing manual QA work and eliminating the need to switch between different tools during production.

Mailgun Inspect is currently available on AgentExchange, Salesforce’s marketplace for the agentic era that brings together the rich ecosystems of AppExchange, Slack, and Agentforce into one experience.

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“Testing how emails render across inboxes is still a fragmented and time-consuming process for many marketing teams,” said Sophie Cheng, Chief Marketing Officer at Sinch. “Mailgun Inspect brings that testing directly into Salesforce, helping teams catch issues earlier and launch campaigns with greater confidence.”

“With the new AgentExchange, partners like Sinch Mailgun get better access to Salesforce’s entire install base and tools that help them build, manage, and scale their distribution more efficiently than ever before,” said Tyler Carlson, SVP and Head of Product, AgentExchange and Ecosystem at Salesforce. “Mailgun’s AgentExchange solution is helping customers transform into agent enterprises by bringing testing and validation directly into existing marketing workflows, making it easier for teams to build and launch campaigns with confidence.”

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Email rendering inconsistencies remain one of the most common causes of campaign failures, yet many marketing teams still rely on disconnected testing workflows to validate emails across inboxes and devices. Mailgun Inspect addresses this by embedding email testing directly into Salesforce. Users can preview emails across major inbox environments, open full-resolution previews, and rerun tests on demand — all within the Marketing Cloud Next workflow.

Salesforce AgentExchange makes it easy for customers to discover, buy, activate, and manage trusted solutions across Salesforce and Slack. Today, customers can discover nearly 14,000 vetted apps, agents, sub-agents, tools, integrations, and experts that help customers solve their unique business challenges faster.

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Muse Image, the Agentic Image Model from Meta, Is Now Available on fal

PRNewswire

September 2, 2026

Muse Image, the Agentic Image Model from Meta, Is Now Available on fal

Muse Image plans, searches, and self-corrects before it renders, and ranks top-5 on Arena across text-to-image, single-image editing, and multi-image editing

fal launched developer and enterprise access to Muse Image, the agentic image generation and editing model from Meta Superintelligence Labs, available now through Meta Model API on fal. Muse Image plans a request, calls tools, and reviews its own output before returning it.

Most image models map a prompt straight to pixels in a single pass. That works for simple prompts and can break down on complex briefs, which is why production teams end up stitching together several models and running rounds of manual cleanup. Frontier pricing has made the highest-volume workloads, ad variant generation, catalog imagery, and per-user personalization, economically prohibitive at exactly the scale where they matter most. Muse Image changes both sides of this equation.

The model uses a planner plus diffuser architecture, with tool calls and refinement inside a single chain of thought. It searches the web for real references, which measurably improves factual accuracy on knowledge-intensive prompts: accurate logos, real places, working charts, and scannable QR codes. It writes and runs code for precise visual elements. And it checks and corrects outputs before returning them so multi-part briefs come back right rather than approximately right.

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One model covers three workflows that usually require three vendors:

Generation plus precise editing. Generate a design, then change one element while everything else stays pixel-identical. One call for both.
Conversational multi-turn refinement. Build a single asset across many turns without quality drift.
Reference-driven composition. Feed a brand kit and sample assets, then generate new on-brand work matching style and subject across people, products, and environments.

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Muse Image also shares tools and plans with Muse Spark, so a single request can return animated GIFs, sites with embedded images, and interactive visual output rather than a flat file.

Muse Image is available today at fal.ai, with full pricing published on the model page. Developers can start in the interactive playground or go straight to the API.

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Calix Welcomes Juergen Lindner as Chief Marketing Officer

Business Wire

September 2, 2026

Calix Welcomes Juergen Lindner as Chief Marketing Officer

With decades of experience leading global technology organizations, including driving ServiceNow’s agentic AI innovation, Juergen brings deep expertise in product, go-to-market, and business transformation as Calix extends the value of its AI-native platform for service providers and adjacent markets

Calix, Inc. announced that Juergen Lindner has been appointed Calix chief marketing officer to lead its marketing organization. As a proven operator with extensive experience scaling software businesses, Juergen joins Calix at a pivotal moment as customers leverage secure agentic capabilities of the Calix One™ platform to deliver predictable outcomes, increase operational leverage, and accelerate growth. Across leadership roles at SAP, Oracle, and ServiceNow, Juergen has built and scaled global marketing organizations that have helped customers navigate industry-defining technology transitions and drive measurable business outcomes.

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“Access to AI by itself is no longer a durable advantage. The ability to turn AI into outcomes is,” said Juergen Lindner, chief marketing officer at Calix.

Juergen Lindner, chief marketing officer at Calix, said: “Access to AI by itself is no longer a durable advantage. The ability to turn AI into outcomes is. Throughout my career, I’ve seen transformative technologies create enormous opportunity, but winning companies are those obsessed with customer outcomes and relentless in execution. AI is no different. It requires the right architecture, governance, and operational foundation to deliver measurable impact. Calix has built that foundation, backed by years of innovation and deeply trusted customer and partner relationships. I’m excited to build on that strength—making our value even clearer, accelerating the impact we deliver, and helping more customers realize the full potential of Calix One.”

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Calix One unifies appliances, cloud, and software through the Calix Agent Workforce™ workflow engine. With strategic partners such as Google Cloud, Calix is extending the value of its platform across service providers and adjacent markets.

Michael Weening, president and chief executive officer at Calix, said: “As agentic AI continues to advance at an incredible pace, what got us here will not get us where we are going. Juergen brings firsthand experience helping one of the world’s most influential software companies navigate technology transitions and adapt AI strategy into growth. His leadership will be invaluable as we build on our 15-year digital transformation journey and $2 billion investment to create Calix One, incorporating a secure and predictable engine for agentic workflows with Calix Agent Workforce. This positions us to enable every customer to lead the AI era. We welcome Juergen to Calix and look forward to what we will accomplish together as we help customers transform their businesses, expand our market opportunity, and create lasting value for our partners, team members, and shareholders.”

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KNOREX Expands AI-Driven Advertising Suite with the Launch of KAI Assist and XPO MCP Server Integration

Business Wire

September 2, 2026

KNOREX Expands AI-Driven Advertising Suite with the Launch of KAI Assist and XPO MCP Server Integration

New conversational capabilities and Model Context Protocol (MCP) empower marketers to seamlessly manage, execute, and optimize cross-channel campaigns using natural language

KNOREX, Ltd. (“KNOREX”; NYSE American: KNRX), a leading provider of AI-driven cross-channel programmatic advertising execution solutions, announced the launch of KAI Assist^sm within its flagship advertising management execution platform, KNOREX XPO. With complete rollout by the end of this month, KAI Assist introduces a conversational, natural language interface designed to streamline end-to-end digital advertising workflows—from campaign creation and audience targeting to real-time optimization.

Building on this momentum, KNOREX will also release the KNOREX XPO MCP Server in October 2026. By leveraging the Model Context Protocol (MCP), this integration enables enterprise clients and agency partners to natively connect platforms like Anthropic’s Claude and OpenAI models directly to their advertising infrastructure. Once activated, users can execute complex cross-channel campaigns simply by interacting with their preferred AI assistant using everyday language.

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Bridging Agentic AI and Programmatic Execution

As digital advertising grows increasingly complex across the Open Internet and walled gardens, marketers face mounting operational overhead. KAI Assist addresses this friction by letting users bypass traditional, multi-layered dashboard navigation. Advertisers can issue plain-text commands to spin up campaigns, adjust parameters, and refine audience targeting segments instantly.

The introduction of the KNOREX XPO MCP Server takes this a step further by bridging external AI models directly with live campaign data and execution environments. Clients utilizing Claude or OpenAI can turn on the XPO MCP server to bridge high-level strategy and low-level programmatic execution, allowing their trusted AI tools to query performance metrics, interpret cross-channel analytics, and orchestrate marketing adjustments securely within a unified workflow.

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“AI is truly the new UI,” said Abhishek Kumar, VP of Product and Engineering at KNOREX. “We are moving away from forcing marketers to click through endless dashboard menus and configuration screens. With KAI Assist and our new MCP server integration, conversational language becomes the interface, allowing our users to focus entirely on strategy while the technology handles the complex execution underneath. We believe this should help to drastically streamline and cut down on the tedious clicks to getting ad campaigns up and running. The integration of conversational AI and MCP architecture marks a massive leap forward in how advertising operations are handled. By letting marketers speak directly to their campaigns—whether through KAI Assist or via external foundational models like Claude and OpenAI—we are removing technical barriers and turning intent into execution faster than ever before.”

Key Highlights:

KAI Assist (Launching September 2026): A native conversational interface built directly into KNOREX XPO, allowing marketers to build, launch, and optimize campaigns using natural language.
Knorex XPO MCP Server (Available October 2026): Implements Model Context Protocol support to allow seamless integrations with enterprise AI ecosystems, including Claude and OpenAI.
Streamlined Cross-Channel Execution: Enables marketing teams to manage multi-channel media buys through straightforward dialogue, reducing manual operations and accelerating time-to-market.

Both KAI Assist and the KNOREX XPO MCP Server will be available to current and enterprise XPO users starting in their respective rollout phases.

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Moloco Expands Board of Directors With Appointment of Rachel Glaser

Business Wire

September 2, 2026

Moloco Expands Board of Directors With Appointment of Rachel Glaser

Moloco continues to build out its Board with proven operators as the AI advertising company scales

Glaser brings decades of financial leadership across public technology and marketplace companies, and will serve on the Audit Committee

Moloco, a global leader in AI advertising, announced the appointment of Rachel Glaser to its Board of Directors. Glaser is a veteran financial leader who has guided leading digital marketplace and technology companies through periods of accelerated change, and brings deep public-company and board experience to Moloco.

“As we build our Board, we’re looking for leaders who pair deep expertise with the curiosity to keep learning as the industry changes, and Rachel is exactly that,” said Ikkjin Ahn, Co-Founder and CEO of Moloco. “She has spent her career bringing financial discipline to companies scaling through rapid change, and that kind of rigor is central to how we’ve built Moloco. Her judgment will be invaluable as we take the business into the next phase of growth.”

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Glaser is a well-respected finance executive who has led a range of tech and digital-native companies through periods of transformation and growth. She currently serves as an independent director on the boards of The New York Times Company and CoStar Group. She most recently served as Chief Financial Officer of Etsy, Inc., where she played a central role in scaling the company’s marketplace and driving several years of revenue and margin expansion.

“I’m excited to join Moloco’s Board at this stage of its growth,” said Glaser. “Moloco has built truly differentiated AI technology, and because the business grows only when its customers do, that edge leads directly to sustainable, profitable growth. I look forward to helping the team build on that in the company’s next chapter.”

Marketing Technology News: How MarTech Is Enabling Autonomous Brand Engagement Across Channels?

Moloco is a global AI advertising company built to power growth on the open Internet. The company uses advanced AI systems to unlock the open Internet’s full potential for app developers, retailers, and every business looking to drive outcomes. Moloco Ads enables mobile app marketers to find and engage the customers who will move their business across more than two billion consumers on more than 2.8 million independent mobile apps and a growing number of connected TV platforms. Moloco Commerce Media brings the same power to retailers and marketplaces, delivering highly relevant, targeted experiences that deepen customer engagement and turn digital storefronts into revenue-generating ad businesses. Across its offerings, Moloco is dedicated to democratizing access to AI advertising – bringing the advanced intelligence and technology once reserved for tech giants to the open Internet and helping to shape the future of the digital ecosystem.

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Trifecta Technologies Expands AI Capabilities with Anthropic Partnership and Claude Services

PRNewswire

September 1, 2026

Trifecta Technologies Expands AI Capabilities with Anthropic Partnership and Claude Services

Leading Salesforce partner Trifecta Technologies expands its AI portfolio with Anthropic services to help organizations deploy Claude, modernize workflows, and turn AI opportunities into measurable business outcomes.

Trifecta Technologies, a top-rated Salesforce partner, has announced the expansion of its service offerings through its partnership with Anthropic, a leading AI safety and research company. As organizations move from AI experimentation toward practical adoption, this strategic addition enables Trifecta to connect Claude with the systems, data and business processes that power enterprise operations.

“Anthropic’s Claude models are designed to handle complex, knowledge-intensive tasks while emphasizing safety, reliability and responsible AI adoption,” said Jason App, Senior Director of Delivery & Technology at Trifecta and Claude Certified Architect – Foundations. “Combined with Trifecta’s expertise across Salesforce, data architecture, integrations, automation and AI readiness, organizations can build secure, scalable AI solutions that reduce repetitive work, improve efficiency and help employees focus on higher-value, judgment-driven activities.”

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Trifecta’s Anthropic services support organizations across the full AI adoption journey, including readiness assessments, strategic roadmapping, consulting, custom deployments, document and knowledge intelligence, governance and AI risk reviews, team enablement and training, and ongoing managed services.

The offering is designed to help organizations move from identifying AI opportunities to deploying and evolving solutions with confidence. Trifecta begins with discovery, evaluating business goals, technology environments, workflows and data to identify high-impact use cases and determine where AI can deliver meaningful value. From there, teams design practical roadmaps, implement and test solutions, and support adoption through training and change management.

By connecting Claude to existing CRM, ERP, documentation and other enterprise systems, Trifecta helps organizations operationalize AI within the tools and processes their teams already use. Applications can include customer experience, sales enablement, knowledge management and operational efficiency, with solutions tailored to each organization’s data, workflows and goals.

Trifecta’s approach centers on responsible, people-first AI adoption. Rather than replacing employees, the firm focuses on using AI to handle repetitive, time-consuming work while enabling teams to spend more time on relationships, strategy and decisions that require human judgment. Ongoing support helps organizations continuously improve performance and expand their AI capabilities as needs evolve.

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With this expansion, Trifecta is broadening its technology ecosystem beyond its longstanding Salesforce foundation to include leading data, payments, product experience and AI partners. The Anthropic partnership reflects the company’s continued commitment to helping organizations navigate rapidly evolving technology, adopt AI with confidence and create sustainable business value.

This broader portfolio gives clients greater flexibility to select the technologies best suited to their priorities, while Trifecta provides the strategy, integration expertise and ongoing support needed to turn innovation into lasting impact and measurable results.

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Yodeck Launches AI Agent for Digital Signage Management

Globe Newswire

September 1, 2026

Yodeck Launches AI Agent for Digital Signage Management

New MCP-Powered tool helps content and marketing, IT administrators, and multi-location operators manage everyday digital signage tasks faster and more easily

Yodeck, the Intelligent Digital Signage Platform™ used by over 65,000 customers globally, announced the Yodeck AI Agent, a new way to manage digital signage through AI assistants including ChatGPT, Claude, Cursor, VS Code, Windsurf and Claude Code CLI. Built on the open Model Context Protocol (MCP), the Yodeck AI Agent turns natural-language requests into supported Yodeck account actions. Tasks that used to take 10 minutes can now take 10 seconds, giving users a faster, simpler way to manage everyday digital signage work.

The launch marks an important step for Yodeck in advancing its technology and expanding the role of AI across its platform. As one of the company’s first major AI product rollouts, the Agent demonstrates how the company is turning rapid advances in AI into practical tools for digital signage teams. By connecting digital signage to the tools people already use, Yodeck is making screen management faster and more automated while laying the groundwork for a more intelligent approach to digital signage.

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For the first time, users can simply ask their AI assistant to complete a task using natural language, and a process that used to require multiple manual steps becomes one clear workflow. Users can simply write a prompt to “Push the updated playlist to all screens in the London Workspace” and the task is handled.

“Yodeck has always made digital signage easy to manage, whether you’re running one screen or thousands. The Yodeck AI Agent takes that simplicity further by letting teams automate everyday actions across their account using natural language,” said Vangelis Mihalopoulos, CEO and co-founder of Yodeck. “For large organizations managing hundreds of screens, locations and users, AI can take on more of the operational work behind a rollout. MCP gives us a powerful foundation to make that possible and build toward a future where managing digital signage at scale becomes increasingly intelligent and automated.”

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The Yodeck AI Agent can read, create, update and manage supported content across screens, media, playlists, schedules, workspaces, users and roles. The agent can upload and organize media, build and edit playlists, adjust screen schedules, manage multi-location Workspaces and control team access and permissions. The Agent also follows built-in access guardrails, so users and teams can only manage the areas already available to them.

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Innovid Expands NIVO with Meta Ads MCP Integration to Bring Connected AI Workflows to Social Advertising

Business Wire

September 1, 2026

Innovid Expands NIVO with Meta Ads MCP Integration to Bring Connected AI Workflows to Social Advertising

Early MCP integration brings conversational AI and connected campaign intelligence to Meta advertising workflows

Innovid, the leading omnichannel advertising platform, announced its integration with Meta ads MCP (Model Context Protocol), bringing secure, conversational workflows to Meta advertisers through NIVO, Innovid’s AI. As a Meta ads MCP partner, Innovid is helping shape how enterprise marketers adopt the next generation of agentic AI workflows.

Innovid expands NIVO with Meta Ads MCP integration to bring connected AI workflows to social advertising

Across early enterprise testing, Innovid has used the integration to summarize campaign health, identify performance trends, surface optimization opportunities, and pinpoint creative assets needing attention—all through natural-language conversations. Meta ads MCP provides secure access to campaign data, and NIVO adds advertising expertise and workflow intelligence to transform those signals into meaningful action. For clients, that means the gap between “something’s off” and “here’s what to do about it” gets significantly shorter.

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The Innovid integration allows clients to access the latest AI capabilities available through platform APIs from a single connected conversational experience. Rather than forcing marketers to learn separate AI assistants and workflows for every platform, NIVO brings campaign intelligence into an experience that helps marketers analyze performance, surface opportunities, and take action.

What this means for Innovid clients:

Ask questions naturally: Campaign performance can be explored through conversation instead of navigating multiple reports and dashboards.
Spot opportunities earlier: Performance trends and creative fatigue can be identified sooner, helping marketers uncover optimization opportunities before performance suffers.
Move from insight to action: Recommendations are connected directly to advertising workflows, helping marketers act faster.
Work with confidence: Secure, authenticated access keeps AI grounded in trusted campaign data without compromising governance.

Innovid has worked closely with Meta’s product team throughout the Meta ads MCP beta program, providing feedback on workflow design, usability, and real-world advertising use cases. The collaboration helps validate how emerging open protocols like MCP can accelerate AI innovation while preserving the security, transparency, and governance enterprise advertisers require.

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“The promise of agentic AI isn’t just generating recommendations, it’s also enabling meaningful action across advertising workflows,” said Grant Parker, President, Innovid. “Our early work with Meta ads MCP demonstrates how secure, authenticated access to advertising data allows AI agents to analyze performance, understand campaign context, surface opportunities, and help marketers move from insight to execution. As more platforms embrace open AI protocols, we’re excited to bring those innovations together through NIVO in ways that make marketers faster, smarter, and more connected.”

Innovid will continue expanding its AI integrations as advertising platforms evolve their MCP initiatives, bringing new capabilities into NIVO and helping marketers benefit from connected, interoperable AI workflows across the ecosystem.

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Phonely Launches Alma, a Voice LLM That’s 63% Faster and 84% Cheaper Than OpenAI

Business Wire

September 1, 2026

Phonely Launches Alma, a Voice LLM That’s 63% Faster and 84% Cheaper Than OpenAI

Trained on 10 million real phone conversations, Alma answers in under 200 milliseconds where OpenAI’s GPT-4.1 takes roughly 500, and scores higher on call quality

Phonely, the leading AI-powered voice agent platform, is taking on the models built by AI’s biggest players with Alma, an LLM built specifically for voice agents to drive conversations forward. Trained on over 10 million real phone conversations instead of text, Alma is designed for the messy reality of voice, like interruptions, background voices and transcription errors, rather than only clean turn-taking. It enables self-improving agents that learn from live call data over time without depending on a frontier lab’s next model. Alma already powers 100% of Phonely’s agent conversations, handling millions of calls a month for hundreds of businesses, and is now available to teams building voice agents.

“Every voice agent on the market is running on a model built for something else. We had the phone calls, so we built the model for the calls. It is already answering millions of Phonely calls monthly, and now anyone building in voice can use it.”

When customers talk to a voice agent, they can usually tell. LLMs trained for text are the dominant models driving the conversation. So although teams spend countless hours prompting and re-prompting an agent to sound natural, it can still stumble on human conversation staples, like a caller interrupting or changing their mind mid-sentence.

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The voice AI model problem persists. For the last few years, frontier labs prioritized making models better at coding, reasoning and long-running tasks. Those same improvements haven’t made their way to voice agents, with many still running on a general-purpose model not designed for the demands of a phone call. An agent-led phone call needs something different. Voice agents need to follow instructions exactly, respond instantly, maintain reliability across long conversations and sound natural on every turn. Models built only for text can struggle to deliver all four.

That matters when approximately $2.7 billion in revenue is transacted over the phone every day across industries, including insurance, legal intake, appointment booking and sales. Every lag, missed rebuttal or unnatural interaction can put revenue at risk.

Alma addresses this need by working with any transcriber and any text-to-speech provider, so teams adopt it inside their existing stack. Because it’s pre-trained to sound like a person, Alma removes most of the prompt engineering teams do today. Even when traffic spikes, its automatic failovers, multi-region routing and priority inference keep response times consistent.

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“Every voice agent on the market is running on a model built for something else. We had the phone calls, so we built the model for the calls. It is already answering millions of Phonely calls monthly, and now anyone building in voice can use it,” said Will Bodewes, CEO and co-founder of Phonely.

But Alma’s advantage extends beyond what it can do on a single call. Because Phonely owns the model and operates it across millions of live conversations, it can use those calls to continuously improve how agents perform. Alma identifies where conversations break down and feeds those learnings back into the model, allowing agents to self-improve on real traffic rather than waiting for a frontier lab’s next release. Within Phonely, that process happens automatically for every customer.

Alma delivers sub 185 milliseconds to first token, compared with roughly 500 milliseconds for OpenAI’s GPT-4.1, reducing the pauses that can make conversations feel unnatural or cause agents to talk over callers. At the 99th percentile, Alma takes approximately 200 milliseconds against 2,000 milliseconds for GPT-4.1, so even calls at the slow end of the distribution remain responsive. Alma costs 55 cents per blended million tokens, making it 84% cheaper than GPT-4.1 at $3.50 and 90% cheaper than GPT-5.4 at $5.63. On speed, Alma is 63% faster to first token than GPT-4.1 and 82% faster than GPT-5.6. This gives voice agents the speed and cost advantages needed for high-volume phone interactions.

The performance difference can translate directly into revenue for businesses. One Phonely customer that switched from OpenAI to Alma saw a 3% increase in sales conversion, resulting in an additional $300,000 in revenue per month.

Every Phonely customer runs on Alma automatically as part of the platform. Enterprises can also purchase custom Alma deployments with dedicated rate limits and deployment options tailored to their infrastructure.

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Venera Technologies Launches Qompli™ – AI-Native Compliance Intelligence for Media Workflows

MTS Staff Writer

September 1, 2026

Venera Technologies Launches Qompli™ - AI-Native Compliance Intelligence for Media Workflows

New AI-native platform detects, reviews and corrects compliance and content sensitivity issues for broadcasters, streaming services and content owners

Venera Technologies today announced Qompli™ (pronounced “Comply”), a new AI-native compliance and content intelligence platform designed to help broadcasters, streaming services and content owners automatically detect, review and correct compliance-sensitive content at scale.

As media organizations distribute content across an increasing number of platforms and territories, compliance requirements are becoming increasingly complex. Qompli addresses this challenge by automatically identifying content requiring editorial or regulatory review and helping operators take corrective action—reducing manual effort while accelerating compliant content delivery.

From Detection to Correction

Qompli goes beyond simply identifying compliance issues. Detected issues are presented with frame-accurate location information and object coordinates, enabling operators to see exactly where an offending item appears in the content.

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Through its integration with Venera’s QCtudio^® review/collaboration environment, Qompli provides AI-assisted correction suggestions, including treatments such as warning signs, redaction, blurring, masking and audio beeping. Operators remain in control! They can review and approve suggested corrections and generate a new corrected media file, or alternatively export an EDL (Edit Decision List) containing the identified issues for use in popular editing systems.

This creates a complete workflow—from detection and review through correction and delivery—while keeping human operators in control of the final decision.

AI-Powered Compliance Analysis

The initial release automatically detects:
• Smoking
• Alcohol
• Nudity

Additional categories, including violence, gore, sexual content, drugs and other compliance-sensitive content, are planned for future releases.

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Unlike generic AI services, Qompli is powered by Venera’s proprietary sovereign AI models, giving customers greater control over deployment, customization and data privacy. Organizations can deploy Qompli in cloud, on-premises or hybrid environments while maintaining control over their sensitive media assets.

Purpose-built for broadcast and OTT workflows, Qompli is designed to deliver high detection accuracy across key compliance categories while reducing manual review and increasing confidence in automated compliance decisions.

“Compliance review is becoming one of the fastest-growing operational challenges facing the media industry,” said Vikas Singhal, CEO of Venera Technologies. “With Qompli, we’re applying AI not only to identify compliance issues, but to help customers resolve them. By combining precise detection, intelligent correction suggestions and automated creation of corrected media, Qompli can take a process that has traditionally required extensive manual review and turn it into a streamlined, operator-controlled workflow. The result is faster turnaround, greater consistency and a more scalable approach to compliance.”

Qompli will be demonstrated publicly for the first time during IBC 2026 (Amsterdam, September 11-14) at the Venera Technologies booth (Hall 7, Stand 7.D45) and is made publicly available on October 1st. Visit www.veneratech.com/IBC2026 to schedule a meeting.

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Descope Unveils Cross-App Access (XAA) Support, Letting Enterprises Manage AI Agent Access With Their Existing Identity Providers

Globe Newswire

September 1, 2026

Descope Unveils Cross-App Access (XAA) Support, Letting Enterprises Manage AI Agent Access With Their Existing Identity Providers

Organizations can now use Descope to validate ID-JAG tokens from their customers’ identity providers, issue ID-JAG tokens for their own internal agents, and provide self-service XAA setup to tenant admins

Descope, a leading customer and agentic identity platform, announced Cross-App Access (XAA) support in its Agentic Identity Hub, giving organizations a way to let every enterprise customer govern AI agent access through the identity provider (IdP) they already trust. Descope is among the first identity providers to support both:

ID-JAG token validation, enabling SSO-like login for any AI agent accessing Descope customers’ MCP servers
ID-JAG token issuance, enabling SSO-like login for Descope customers’ AI agents accessing any MCP server

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AI agents are becoming the primary consumers of enterprise APIs, and B2B companies are building MCP servers so those agents can reach intended services and data. However, many MCP servers use identity anti-patterns that were not designed for autonomous agents.

Static API keys sit in configuration files and environment variables with no expiration and no tool-level scoping.
Agents borrow the signed-in user’s session and inherit every permission that user holds, which greatly increases the blast radius of a single compromised agent.
Authorization is applied at the application level rather than per user, per tenant, per agent, or per tool, leaving agents over-permissioned by default.

2026 research from Gravitee found that only 22% of teams treat agents as independent identities, with most relying on shared API keys.

Cross-App Access is an open protocol built to standardize how AI agents receive access to another application’s APIs or MCP server. Built on the Identity Assertion JWT Authorization Grant and adopted as the Enterprise-Managed Authorization extension to the Model Context Protocol, it replaces static API keys and repeated consent screens with short-lived assertions minted by the identity provider both applications already trust. An agent signed in to one application reaches another application’s API or MCP server with no second login.

“Every B2B company shipping an MCP server is about to hear the same question from its enterprise customers: can we govern agent access to this MCP server with our own identity provider?” said Rishi Bhargava, Co-Founder of Descope. “Descope’s Cross-App Access support helps customers deploy enterprise-ready MCP servers that can validate assertions coming in from their customers’ identity providers and even let tenant admins configure XAA support entirely on their own. This is a huge unlock for any business that has high hopes for their Claude connector or ChatGPT plugin.”

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New Cross-App Access capabilities in the Agentic Identity Hub include:

ID-JAG validation, which helps B2B companies let their enterprise customers govern agent access through the identity provider they already trust. Organizations can register a trusted issuer for each tenant, accept assertions from Okta, Ping, and other standards-compliant providers, and validate a standard access token at the MCP server without implementing the protocol themselves.
ID-JAG issuance, which makes Descope the identity provider for the AI agents an organization runs internally. Security teams can grant those agents scoped, short-lived access to any MCP server / API, with policies evaluated on every request instead of being baked into a long-lived credential.
Self-service XAA setup, which adds Cross-App Access to Descope’s SSO Setup Suite alongside SSO, SCIM, and JIT provisioning. Tenant admins can choose their identity provider, establish trusted issuers, register their AI agents, and map user attributes through a guided flow without any support ticket or manual back-and-forth.
Per-organization scope policies, which let companies grant different levels of agent access to different enterprise customers on the same MCP server. Policies can be created based on user roles, tenant membership, and claims carried over from the customer’s identity provider.
Standards-based token exchange, which builds on the OAuth 2.1, DCR, CIMD, and consent management support already in the Agentic Identity Hub. Cross-App Access follows the Enterprise-Managed Authorization extension to MCP, using OAuth 2.0 Token Exchange to mint assertions and the JWT Bearer grant to redeem them.

Cross-App Access support builds on the Descope Agentic Identity Hub, which handles authentication and access control for hundreds of MCP servers and millions of monthly agentic transactions. Descope, a member of the Agentic AI Foundation (AAIF), was named a Leader in the 2025 Frost Radar for Non-Human Identity Solutions, where Frost & Sullivan analyst Dolores Aleman described Descope as “one of the first vendors to treat AI agents as a first-class identity type.”

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Bazaarvoice introduces AI Visibility package to prime brand content and UGC for AI recommendation

Globe Newswire

September 1, 2026

InboxAlly Launches Deliverability Hub With 11 Free Tools

The new solution provides the technical foundation, expert implementation, and independent measurement needed for brands to secure their spot on the AI shelf; clients currently enabled are already seeing a 40% increase in AI-driven referral traffic

Bazaarvoice, the world’s leading platform for sourcing, displaying, and amplifying authentic user-generated content (UGC), announced the launch of its AI Visibility package. The new offering helps brands and retailers prepare their UGC for the era of AI search and shopping by making authentic customer content structured, accessible, and primed for discovery by AI platforms.

AI is fast becoming the new storefront. But most brands’ hardest-won proof of trust, from customer reviews to photos and ratings, is invisible to it. That’s because most review platforms render this content through JavaScript widgets, a format most AI crawlers skim past entirely. As shopping increasingly starts with an AI-generated answer rather than a search results page, content that AI can’t see can’t be surfaced.

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The AI Visibility package is built to close this gap. Across clients using the underlying infrastructure, brands have seen a median 40% increase in AI-driven referral traffic, with 100% of client UGC served in formats AI crawlers can read instantly.

“Because standard JavaScript rendering creates a massive blind spot for AI crawlers, hard-earned customer reviews, photos, videos, and star ratings are essentially left in the dark,” said Doug Straton, CMO at Bazaarvoice. “We built the AI Visibility package to fix that, so that the moment a crawler hits your page, it sees the full spectrum of your consumer voice, from written reviews to shopper photos and videos.”

The AI Visibility Package is tailored specifically for brands and retailers that want to get ahead of the AI curve and position their products to be visible in AI-driven shopping journeys. By delivering the technical foundation to be found, cited, and recommended today, Bazaarvoice helps brands to secure early market share in the rapidly evolving AI landscape.

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Key capabilities & core benefits

Put your brand in prime position to be discovered by AI search: Converts ratings, reviews, and gallery images into AI-ready structured data, putting brands in the prime position to be recommended by AI applications.
Stay ahead as AI evolves: Designed as a dynamic, future-proof offering rather than a static point solution. Early adopters automatically receive new AI capabilities as Bazaarvoice ships them, without needing to make additional purchases.
Implement with confidence: Expert-guided implementation ensures complex structured data is deployed correctly the first time. Unlike automated coding agents that risk damaging search engine optimization (SEO) and generative engine optimization (GEO), Bazaarvoice leverages over 20 years of UGC infrastructure expertise to protect and strengthen existing performance.
Independent GEO measurement: Bazaarvoice has partnered with leading AI visibility measurement providers Bluefish, Evertune, and Profound to offer an independent measurement layer. While Bazaarvoice powers the content infrastructure, these strategic partners track and score how often brand content is cited in AI answers.

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UltraHumanizer.ai Launches a Completely Free AI Image Detector for Analyzing AI-Generated Images

MTS Staff Writer

September 1, 2026

UltraHumanizer.ai Launches a Completely Free AI Image Detector for Analyzing AI-Generated Images

UltraHumanizer.ai launches a completely free AI Image Detector, expanding its AI humanizer platform with simple, likelihood-based image analysis.

UltraHumanizer.ai, an AI-powered content refinement platform, has announced the launch of a completely free AI Image Detector, expanding its range of tools beyond text rewriting and AI-assisted writing.

The new tool allows users to upload an image and receive an estimated likelihood that generative AI may have been involved in creating or substantially editing it. Rather than presenting results as definitive proof, the detector provides a probability-based assessment intended to serve as an additional signal when evaluating digital images.

The AI Image Detector is available directly through UltraHumanizer.ai and can be used without a paid subscription.

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The launch marks an expansion of UltraHumanizer, which originally focused primarily on its free AI humanizer for refining AI-assisted text into clearer and more natural writing.

As generative AI becomes increasingly common across both text and visual content, UltraHumanizer.ai is developing tools designed for different parts of the AI content workflow.

A Free AI Image Detector With Likelihood-Based Results

The new UltraHumanizer AI Image Detector analyzes visual characteristics within an uploaded image and returns an estimated AI likelihood score.

Instead of making a simple binary judgment such as “AI-generated” or “real,” the tool is designed to communicate uncertainty through probability-based results.

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This approach reflects the limitations of current AI image detection technology.

Images may be difficult to classify for several reasons, including:

Partial AI editing
Image compression
Screenshots
Resizing
Filters and post-processing
CGI and digital artwork
Newer image-generation models
A combination of photography and generative editing

For this reason, UltraHumanizer recommends treating AI image detection results as supporting information rather than definitive evidence about an image’s origin.

Designed for Simple Image Analysis

The AI Image Detector follows the same lightweight approach as other UltraHumanizer tools.

Users can upload a supported image, run the analysis, and review the resulting AI likelihood estimate without navigating through a complex workflow.

The tool is intended for a range of users who regularly encounter digital imagery, including content teams, marketers, publishers, businesses, creators, and people reviewing online visual content.

Potential use cases include reviewing third-party images, checking unfamiliar visual assets, evaluating images found online, and adding another layer of information to content review workflows.

Expanding Beyond the UltraHumanizer AI Humanizer

UltraHumanizer.ai initially became known for its free AI humanizer, a writing tool designed to refine AI-assisted drafts.

The text tool focuses on areas such as sentence structure, readability, tone, writing rhythm, and repetitive phrasing while attempting to preserve the original meaning and important terminology.

UltraHumanizer has since added more detailed writing controls, including options for tone, rewrite strength, reading level, target length, and terminology preservation.

The addition of AI image analysis represents a broader direction for the platform.

Rather than focusing exclusively on rewriting text, Ultra Humanizer is increasingly positioned as a collection of practical tools for working with AI-assisted and AI-generated content.

Addressing a Broader AI Content Workflow

The rapid adoption of generative AI has created new workflows for businesses and content teams.

Text may begin with an AI-generated draft before being reviewed and refined by an editor. Images may come from traditional photography, graphic design software, generative AI systems, or a combination of several methods.

As a result, the distinction between generated and manually created content is becoming increasingly complex.

UltraHumanizer.ai aims to provide lightweight tools for both sides of this workflow.

Its AI humanizer focuses on improving the quality and readability of text, while the new AI Image Detector provides additional information that may help users evaluate visual content.

The company emphasizes that neither tool is intended to replace human judgment.

Free Access Remains a Core Part of UltraHumanizer

A notable aspect of the new release is that the AI Image Detector is being made available for free.

Users do not need to purchase a subscription before accessing the image analysis tool.

This follows the approach taken with the main UltraHumanizer AI humanizer, which has also been made available as a free online utility.

The company says its goal is to reduce the friction involved in using practical AI content tools rather than requiring users to commit to another subscription before trying them.

AI Humanization and the Changing Writing Market

Search interest around terms including AI humanizer, undetectable AI, AI rewriting, and natural AI writing has increased alongside the wider adoption of generative writing tools.

However, UltraHumanizer’s broader product direction focuses on content refinement rather than promising a specific outcome from third-party detection systems.

Its AI humanizer is designed primarily to improve readability, clarity, tone, and sentence variation.

The new image detector follows a similarly cautious approach by describing its results as likelihood estimates rather than absolute classifications.

This distinction is increasingly important as AI-generation technologies continue to evolve.

AI Image Detection Is Not Absolute

UltraHumanizer notes that no automated image detector should be considered completely accurate in every scenario.

A real photograph may contain a small AI-generated element.

An AI-generated image may have been manually retouched.

A screenshot or heavily compressed file may also contain less useful information than the original image.

For these reasons, AI image analysis should ideally be considered alongside other evidence such as:

Image provenance
Original source
Metadata
Publication context
Editing history
Visual inspection

UltraHumanizer’s likelihood-based presentation is intended to reflect this uncertainty rather than obscure it.

A Broader Direction for UltraHumanizer.ai

With the release of its free AI Image Detector, UltraHumanizer.ai is moving beyond a single-purpose writing utility.

The platform now addresses both text refinement and image analysis, two increasingly common needs as generative AI becomes embedded in content production.

Future development is expected to continue around practical tools that help users review, refine, and understand AI-assisted content without adding unnecessary complexity to existing workflows.

The new AI Image Detector is available now through UltraHumanizer.ai.

About UltraHumanizer.ai

UltraHumanizer.ai is an AI content utility platform offering tools for refining and analyzing AI-assisted content.

Its core AI humanizer helps users improve the clarity, tone, sentence structure, and readability of existing drafts while preserving important information and terminology.

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Viamedia Taps Advertising Veteran Drew Childers to Lead Growing CPG & Retail Media Division

Globe Newswire

September 1, 2026

Viamedia Taps Advertising Veteran Drew Childers to Lead Growing CPG & Retail Media Division

Marketing expert tasked with building a different approach to CPG brand growth within evolving media landscape

Viamedia.ai, a next-generation ad tech company focusing on scaling a local-first omni-channel operating system, has appointed longtime CPG and advertising technology executive Drew Childers to the role of Vice President, CPG & Retail Media.

Childers brings more than 15 years of experience working alongside some of the world’s largest consumer brands focused on driving consumers to retail. He will be tasked with immediately expanding Viamedia’s presence with brands to drive a differentiated CPG strategy built around proprietary local-first audience intelligence and omnichannel activation. He will operate out of Viamedia’s Bentonville, AR office and report directly to Marc Rutchik, Viamedia’s SVP Sales.

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“The way that consumers interact with media and engage with brands has changed dramatically over the past few years, and this impacts how and where these consumers make their final purchase decisions,” said Evan Rutchik, President & Chief Strategy Officer, Viamedia. “Drew has sat at the intersection of media and retail throughout his career, so he’s had a front row seat to all of this change. We’re excited to have his expertise guiding us as Viamedia continues to build solutions that help our retail and CPG partners reach consumers and drive ROI.”

Viamedia is building its CPG approach around a simple but meaningful shift: start with the opportunity, not the media channel. Instead of beginning with a predetermined screen, platform or media product, Viamedia uses its deep understanding of local markets and advanced audience and geospatial intelligence to help brands identify where growth opportunities exist, which consumers and households matter most, and why. Viamedia then determines the right combination of media to activate against them.

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“CPG marketers have more data, platforms, media channels, and measurement capabilities at their disposal than ever before, so access is no longer a challenge,” said Childers. “Proper CPG and retail campaigns bring all of these elements together to deliver the business outcomes that actually matter. Of course, different outcomes require different solutions, and Viamedia has set itself apart through differentiated media that can stand on its own, but can also complement retail media, social, TV, commerce, and the broader investments brands are already making.”

Childers arrives at Viamedia following nearly nine years leading the CPG vertical at Ogury, the mobile data company. His career has also included CPG and retail leadership roles at Yieldbot, Time Inc., and Advantage. He will immediately look to build on Viamedia’s current success in CPG by adding staff in key markets.

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Getty Images and Penske Media Corporation Expand Partnership, Bringing Dick Clark Productions’ Iconic Entertainment Archive to Global Audiences

Globe Newswire

September 1, 2026

Getty Images and Penske Media Corporation Expand Partnership, Bringing Dick Clark Productions' Iconic Entertainment Archive to Global Audiences

One of the most iconic visual records of post-war American popular culture is now available on gettyimages.com to license for multi-platform storytelling

Getty Images, a preeminent global visual content creator and marketplace, and Penske Media Corporation (PMC), a leading global media and information services company, announced an expanded partnership that brings content from Dick Clark Productions’ (DCP) historic entertainment archive exclusively to gettyimages.com.

Spanning more than seven decades of entertainment, the Dick Clark Productions archive captures many of the defining moments, personalities and cultural movements that have helped shape American popular culture. From the rise of rock and roll to contemporary music and entertainment, the collection provides an unparalleled visual record of the evolution of American entertainment, music and fashion.

Now available through Getty Images, the archive includes imagery and video from thousands of performances, concerts, broadcasts, documentaries and landmark entertainment events. The collection features content from some of America’s most loved shows including the Golden Globes, American Music Awards, Billboard Music Awards, American Bandstand, and Dick Clark’s New Year’s Rockin’ Eve. Thousands of hours of additional offline footage are available on request.

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“Dick Clark Productions has documented generations of cultural history, capturing many of the artists, performances and moments that have shaped entertainment,” said Kirstin Benson, Vice President Global Entertainment, Getty Images. “Bringing this collection to Getty Images further strengthens our position as the premier destination for world-class entertainment archives. Through our rights management expertise, global reach and licensing capabilities, we’re bringing this extraordinary archive to customers around the world to inspire multi-platform storytelling.”

“Dick Clark Productions has shaped popular culture for generations and this archive holds some of its most defining moments,” said Karl Walter, VP, Content, Penske Media Corporation. “With Getty Images, we can extend the global reach and enduring value of this library, ensuring these iconic moments continue to inspire audiences, inform storytelling and connect new generations with the history of American entertainment.”

In addition to the historic archive, new content from Dick Clark Productions’ live events and productions will continue to be added, ensuring the collection remains both a definitive record of entertainment history and a living archive of contemporary culture.

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Collection highlights include:

Thousands of performances spanning rock, pop, R&B, soul, country, disco, hip-hop and more
Landmark appearances from generations of influential artists
Country icons from the 1950s to today, including Johnny Cash, Dolly Parton, Shania Twain and Luke Bryan
Variety shows, game shows, award shows, documentaries and feature films
Appearances from comedy legends including George Carlin, Jerry Seinfeld, Billy Crystal and Rodney Dangerfield
New Year’s Eve Times Square ball drops spanning multiple decades
Nearly every dance craze since the 50s, from the Twist to the Macarena

The Dick Clark Productions collection is available on gettyimages.com today via dedicated imagery and video collections. Special pricing and approvals may be required via an offline workflow.

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One of the most iconic visual records of post-war American popular culture is now available on gettyimages.com to license for multi-platform storytelling

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

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