Real-time content classification on long-form streams. The moment happens, the clip exists, your audience team posts it while people are still talking about it.
The value of a broadcast moment decays in minutes. ContentSense classifies your live output in real time, spots the moments that matter, and cuts them into clips ready for social while the stream is still running. The same engine builds structured metadata for everything it watches, so your archive gets smarter every hour you're on air.
ContentSense · Live Operator Surface
Real-Time Scene & Moment Engine · Clip ready 4s after play · On-prem
High-impact live moment detected & clipped in 4 seconds
Proactive suggested fix
Frame-accurate clip (14:21:52 - 14:22:18) extracted with auto-drafted title, tags, and vertical crop.
Why operators switch
Today, getting a broadcast moment onto social means someone watching, someone cutting, someone exporting, someone uploading. On a good day that chain takes fifteen minutes. The conversation you were trying to join lasted five.
And the clips you cut are the only content that ever gets indexed. Everything else you broadcast disappears into an archive nobody can search. ContentSense fixes both. It's your own content, cut from your own stream, on your own hardware. No rights questions, no upload queue, no waiting for the programme to end.
Live signal pipeline
ContentSense runs against your live output or file-based content over your existing transports.
Programs, breaks, segments, scenes, and moments are classified as they happen.
Clip candidates are extracted from the running stream with frame-accurate boundaries, ready for review and publishing.
Everything classified becomes structured metadata: searchable, exportable, and available to downstream automation over the event stream.
Product demo
A moment lands on air. Seconds later it exists as a clip, classified and ready to publish.
Built for broadcast operations
Program versus break, segment boundaries, scene changes, and notable moments, detected live.
Social-ready clips cut from hours-long streams while they run, not after they end.
People, topics, and segments captured as metadata for search, archive, and compliance.
Every classification is an event your workflows can subscribe to.
Modular switchable extensions
Every Sense ships with its core capabilities. Skills extend it, switchable per track, priced only when you turn them on.
Vertical Reframe
9:16 crops generated automatically for vertical platforms, subject-aware.
Highlight Reels
Multi-moment compilations assembled from a full broadcast.
Metadata Packs
Titles, descriptions, and tags drafted for every clip, ready for editorial polish.
Want early access to a Skill? Tell us in the demo.
SRT, RTMP, MPEG-TS, HLS, JPEG-XS (TR-07), and file-based content including MXF.
Every Sense runs on private local AI models, on your hardware or in your cloud account. Nothing is sent to a third-party inference service, ever. Deployments range from a single GPU server to a rack, sized to your channel count. We spec the hardware with your engineering team before anything ships.
Clip files and structured metadata for publishing workflows, plus a REST API and real-time event stream automation can act on.
Demos run on your content: live streams or files. Bring a sample and watch it work.
