VideoAI: Making video understandable at scale

The cost of video you can't see

Every media organization has plenty of video. Very few can see what's actually inside it. Archives stretch back decades, libraries grow daily, and live programming adds new footage every hour, but the dialogue, the visuals, the on-screen graphics, and the moments that matter stay locked inside the timeline until someone watches the tape.

That's the visibility gap, and it's an expensive one. It slows editorial teams down, limits how much of your library gets reused, and leaves dark archives sitting on value nobody can find. VideoAI™ closes that gap by turning speech, visuals, and on-screen text into time-aligned, moment-level metadata your teams and systems can act on immediately.

What is VideoAI?

VideoAI is an AI-powered video intelligence platform that analyzes speech, visuals, and on-screen text inside video content and converts it into structured, time-aligned metadata. Instead of describing a program with a single title and a short synopsis, VideoAI indexes it at the moment level: the specific scene, quote, visual, or segment your team actually needs, aligned to the exact millisecond it occurs.

It works across both video on demand (VOD) and live content. For on-demand libraries and archives, VideoAI scans full programs to make them searchable at the moment level. For live channels and streams, it processes content as it airs, so contextual signals are available during and immediately after broadcast.

Who VideoAI is built for: broadcasters, streaming services, sports rights holders, news organizations, content libraries, and the platforms that serve them. Any organization whose teams spend meaningful time finding, validating, repackaging, or contextualizing video is a fit.

How VideoAI works

VideoAI uses a multi-signal strategy, analyzing speech, visuals, and in-frame text simultaneously and aligning the results to the exact millisecond they occur. That means your teams move directly from a question to a verified moment, instead of scrubbing through long video or relying on broad, program-level tags.

How media and entertainment teams put VideoAI to work

The fastest way to understand VideoAI's value is to see it inside real workflows. Here's a look at how enterprise media teams use it today. The complete playbook for each is inside the guide.

• Contextual advertising - Turn spoken dialogue, faces, logos, and on-screen text into moment-level contextual signals your existing ad decisioning engine can act on.
• News and editorial - Search current production and archive footage by what's said or shown, then jump straight to the moment for verification, clipping, or reuse.
• Highlights and clipping - Sport-specific detectors surface scoring plays, replays, and reactions in real time, so producers can clip and publish while the audience is still watching.
• Archive activation - Search what's actually said and shown across decades of footage, not just shallow metadata, to put more of your archive to use.
• Product and audience experiences - Power jump-to-moment navigation, intro and recap detection, and more precise content recommendations.
• Standards and compliance - Detect content aligned to IAB sensitive-topics categories so your teams can apply their own thresholds at scale.

Built to evolve

AI moves fast, and most media organizations don't want to re-integrate every time it does. VideoAI's Flexible Framework solves that: teams integrate once, and VideoAI continuously applies the best available model or detector for each task, so outcomes stay consistent even as the AI underneath keeps improving.

Integration options built for how your teams actually work

Media organizations rarely run a single, uniform workflow, and VideoAI is built to fit that reality rather than force a rebuild.

• API-first adoption - As an API-based intelligence layer, VideoAI feeds insight into search experiences, editorial tools, asset management systems, ad workflows, or custom applications.
• Ecosystem integrations - For contextual advertising, VideoAI powers FreeWheel's Context Engine. For power search and discovery, VideoAI integrates directly with the Orange Logic digital asset management platform, so teams already running on these tools can adopt moment-level intelligence without building a custom integration layer.

From discovery to proof of value

Every organization starts from a different place, so the path to adoption is built to prove value before you commit to a full rollout: a discovery conversation to align on outcomes, a scoped proof of value against your own content, then technical onboarding once you're ready to move forward.

The fastest way to know if VideoAI is right for your organization is to see it run against your own content.

Frequently asked questions