Models, hardware, pre-trained libraries, and white-glove support – pick any layer, run it at the edge or in our cloud, own your deployment.
From custom ML to managed deployments – each capability is independently usable. Pick the ones you need.
Custom ML with continuous learning, multi-model inference, edge-cloud hybrid deployment. When pre-trained isn't enough, we train you your own.
Hardware partners (NVIDIA Jetson, Juganu, AglaiaSense) and managed cloud – run inference at the camera, gateway, or in our cloud. Same software, every layer.
A growing library of pre-trained models curated for industry use cases. Pedestrian tracking, queue monitoring, crash detection – activate on day one, no training cycles.
White-glove onboarding, Boot Camp sandbox sessions, dedicated engineers. Most teams go from contract to live deployment in under a week.
Data flows in from your cameras. Models run on edge silicon. Results flow out as metrics, alerts, or API responses. No frame ever leaves the building unless you want it to.
Existing cameras over RTSP, ONVIF, or direct sensor input.
Edge inference silicon – runs models on the camera or gateway
EDGEPre-trained model libraries + custom ML – the brains
MODELHosted compute, model storage, OTA updates
CLOUDDashboards, BI API, historical + predictive views
OUTAggregated counts, real-time alerts, or your BI tool of choice.
Talk to our expert team and start trying models today – go live in a week!
