Can machines truly understand what happens in video? We are building the answer — one domain, one deployment, one hard problem at a time.
Decode any video source. Extract frames at adaptive sampling rates that respond to scene complexity. Chunk into overlapping segments — so events at chunk boundaries are never missed.
Two AI systems cross-validate every chunk: vision language models understand context and meaning; YOLO catches precise objects and locations. Results are fused — fewer false positives, fewer missed detections. Every output is schema-validated before it reaches your systems.
Aggregate chunk-level data into video-wide intelligence. Events spanning multiple chunks are correlated and deduplicated. Entities are tracked across cameras using privacy-preserving text descriptions — no facial recognition required.
VideoRAG powers natural language search across your entire archive — with timestamp-accurate cited answers. Define alert rules in plain English. Get structured reports, API access, and real-time notifications.
Each domain tests a different facet of the same core question: can machines understand what happens in video well enough to act on it? Every deployment sharpens the answer.
Perimeter awareness. After-hours activity. Abandoned object alerts. Faster incident review.
Learn more →Dock visibility. Staging-zone congestion. Forklift safety context. Throughput exceptions.
Learn more →Drone surveillance analysis. Convoy tracking. Situational awareness from aerial feeds. Force protection.
Learn more →Quality inspection via visual AI. Assembly line monitoring. Safety compliance. Equipment anomaly detection.
Learn more →Shelf analytics. Customer flow heatmaps. Loss prevention. Queue management and wait-time estimation.
Learn more →Traffic flow analysis. Incident awareness. Roadway disruption monitoring. Pedestrian safety signals.
Learn more →Patient safety awareness. Care-environment monitoring. Waiting room visibility. Privacy-aware review.
Learn more →REST APIs. `@vii/app-sdk`. `@vii/ui-kit`. Everything we build is accessible programmatically and composes from the same platform UI system.
// Submit a video, then poll for results
import { useVideoAPI } from '@vii/app-sdk'
import { Button } from '@vii/ui-kit'
function AnalyzePage() {
const api = useVideoAPI()
const run = async () => {
const job = await api.submit(
'https://storage.example.com/security-cam-north.mp4',
{ sampleRate: 2, appId: "security" }
)
const status = await api.getStatus(job.jobId)
const events = await api.getEvents(job.jobId)
const summary = await api.getSummary(job.jobId)
}
return <Button onClick={() => void run()}>Analyze Video</Button>
}
// job → { jobId, status, statusUrl, detailUrl }
// status → { status, progress }
// events / summary fetched after processing completesWe are looking for partners with hard video problems and the patience to solve them properly. Deploy in your environment. Keep your data private.