Turn video into
intelligence

Sub-minute latency on live streams. For archive footage, one hour of video typically returns as structured intelligence in 5-10 minutes - the exact time scales with how many signals you want extracted (transcript only is faster, full object + event + sentiment extraction is the upper end). No upper bound on length.

Footage and outputs stay in the region you choose (EU, US, on-prem available for enterprise pilots). Encrypted in transit and at rest. Customer data never trains upstream models. SSO and full audit log standard.

Yes - that's the point. Bring your taxonomy, policy doc, and category tree. The model adapts in days, not quarters. Your schema is the source of truth; ours maps to it.

Every claim is cross-checked against trusted sources you specify - public knowledge bases, internal docs, regulatory feeds, vendor sheets. Anything the model can't ground gets flagged for human review, not pushed as a confident answer.

What you already own. RTSP, ONVIF, file dumps, S3 buckets, public-platform APIs - whatever shape your source delivers. No new fleet, no rip-and-replace.

Two-week discovery to scope your taxonomy and connect a slice of your footage. Two-week pilot on real data, reviewed against ground truth you control. Production rollout if the pilot lands.

No hard limits - the engine reads spoken audio in every major language (English, Polish, German, Spanish, French, Portuguese, Italian, Dutch, Mandarin, Japanese, Arabic, and more). You receive transcripts, summaries, and alerts in whatever language your team works in - say it once at onboarding and outputs ship in that language by default. Visual signals (objects, gestures, on-screen brands, scene context) are language-independent - those work regardless of what's spoken.