Our AI engine turns any video — live or archive — into structured, searchable visual intelligence. Built for enterprise.
More footage than anyone can watch — and almost none of it is structured data.
We turn raw video into a structured, searchable index — the things on screen, described, located in time, and ready to query.
Scenes, objects, people, brand logos, on-screen text and events — read frame by frame from the pixels.
Transcription aligned to the timeline, so on-screen detections carry the spoken context around them.
Every signal time-stamped into a searchable index — query it, chat with it, and deliver it your way: API, the format you need, or a custom integration we build to fit.
Shot segmentation and scene classification, mapped to timecode with full coverage.
Detection and tracking across scenes, with confidence and on-screen position.
Logo detection with prominence (size in frame) and exposure time in seconds.
Automated placement measurement — what brand, how long, how prominent.
OCR of chyrons, captions and graphics, indexed and searchable.
Seven risk categories flagged with intensity and timecode for review.
Activity and zone detection — entries, after-hours access, incidents.
A human-readable summary of what happens, grounded in the detections.
Everything the engine sees and hears in a single still — the host, her words and mood, every product, on-screen text and a brand-safety check — each boxed, timecoded and written to the index.
Live streams or deep archives — from the cameras and feeds you already own.
Frame extraction and scene segmentation across the full timeline.
Vision models run in parallel — objects, logos, OCR, brand-safety, events.
Descriptions and classifications, grounded against sources you trust.
Searchable index, dashboard, chat and a full JSON API + integrations.
The same model that measures a logo's airtime watches a loading bay for an incident — different cameras, different taxonomies, one underlying engine.
Archive indexing, contextual-ad metadata and automated product-placement measurement.
Brand exposure quantified per action across live and archive footage.
Incidents, sweethearting and after-hours anomalies from the CCTV you own.
Crowd density, abandoned objects and traffic incidents on existing cameras.
Missing PPE, hands in danger zones and lockout/tagout violations on the floor.
Vision built as the core, not text with video bolted on. We read the object in frame and the logo on the desk — the signals crawlers can't.
Cloud video APIs and toolkits hand you embeddings and a long build. We hand you a working platform — dashboard, search, integrations — on day one.
Every generated claim can be cross-checked against sources you trust. Anything the model can't ground is flagged for review, not asserted.
You decide what to read out of every video. Bring your taxonomy and trusted sources — a new detector is a prompt, not a model retrain, so custom signals ship in hours and map to your schema.
Most video AI is a raw toolkit you integrate for months. We are the finished product — an hour of footage analysed in minutes, for the price of a coffee.
The real alternative isn’t another tool — it’s your team watching footage. That doesn’t scale, and it isn’t cheap.
The full pipeline end-to-end on a publicly shared match — ingest → scene segmentation → object & brand detection → per-scene tags with a brand-exposure overlay, in an interactive UI.
Loss prevention on store CCTV — the pipeline reads the floor frame by frame and flags suspected concealment and exit-without-pay as timecoded events for review.
Every deployment is built to fit — the interface, outputs and integrations are tailored to your workflow.
Bring us a slice of your footage and the signals you need from it. We'll come back with an indicative scope and quote within five working days.