Data, models, cloud, chipsets, analytics. Take what you need — we've made every layer independently deployable. Built so one of your engineers can run it, not a data-science org chart.
Use one product. Use all of them. Each one speaks open protocols, so you can swap any layer for your own existing infrastructure.
RTSP, ONVIF, H.264/H.265, file-based batch. Any existing CCTV or edge sensor.
BI tools, ops dashboards, incident webhooks, video management systems — aggregate metrics only.
Pre-trained computer vision models curated for industry use cases. Browse by vertical, try in Boot Camp, deploy to your cameras.
Synthetic and real training data for computer vision. Use our catalog or submit feeds — anonymized and privacy-safe.
Individual chipsets for enterprise servers. Run multiple models simultaneously, receive continuous updates over the air.
Hosted AI compute and storage. Deploy your models and ours without standing up infrastructure. Or bring your own VPC.
Dashboards and BI API integration. Historical, real-time, and predictive analytics — one surface across every deployed model.
When pre-trained doesn't fit — build your own model with continuous learning. Our experts help, your data stays yours.
Over-the-air model updates on deployed chipsets. New capabilities ship to thousands of edge devices — no truck rolls.
Open-source forum for questions, answers, and model exchange. Developers share patterns, integrators swap integrations.
Every model runs on-device by default. Metrics and alerts forward to the cloud — not video. That means lower cost, lower latency, and privacy by construction.
Real-time classification on-device.
Aggregate metrics — not streaming video.
Queues metrics and syncs on reconnect.
Signed, staged, rollback-safe updates.
Our field engineers will scope your deployment, map which layers you actually need, and show you live inference on your own feeds.