A white-label ODM for smart cameras and Network Video Recorders (NVR). We design, build, and maintain the edge AI devices; you brand it, price it, and own the customer. Gain a 5:1 time to market advantage.
AI models are built for the cloud. Getting them to run on low-power edge silicon is a different problem — and silicon vendors rarely ship the full software stack OEMs need. Most product teams spend roughly eighteen months or more assembling that stack before they can even start shipping a camera or NVR.
Edgience removes that bottleneck as a one-stop ODM partner.
We do not sell into your distributors or integrators. We sell to OEMs. Your channel stays yours.
Most OEMs spend eighteen months solving only the software side. Edgience delivers a shippable camera design and the stack underneath it — so commercial teams get a SKU and engineering teams get a proven foundation.
A complete ODM path for smart cameras and NVRs under your brand.
Accelerate your edge product roadmap with a complete Vision AI framework.
Built for real-world deployment. The Edgience platform delivers six core AI capabilities — ready to run on edge cameras and NVRs out of the box.
Real-time detection and classification of people, vehicles, objects, and abnormal activities across any camera feed.
Detect unauthorized entry, tripwire crossing, restricted zone violations, loitering, and fence climbing — with instant rule-based alerts.
Automatic license plate recognition, vehicle detection and classification, watchlist management, and entry/exit monitoring.
Face detection, person re-identification, people counting, crowd monitoring, and occupancy analytics.
Detect PPE violations, unsafe behavior, fall detection, and workplace compliance incidents in real time.
Recording, playback, forensic search, evidence management, and seamless integration with ONVIF-compliant cameras and third-party VMS platforms.
Track: White-Label Device Program
Form factor, sensor, power, enclosure, branding, target use cases.
Stack, models, and camera design tuned with your engineers; VMS/ONVIF checks; quality bar that is yours.
Eval units, soft launch through a lead integrator, then volume under your brand.
Track: SW Stack Licensing
Select from our supported NPU silicon partners. If your chipset is on our roadmap, we start from a validated baseline.
Drop our pre-optimised inference stack into your product pipeline. Our team works directly with your engineering team to configure AI models, validate performance, and tune for your specific use case.
With the software stack solved, your team focuses on what matters: your product. Typical integration cycles drop from 18 months to under 3.
Tell us whether you are exploring a white-label camera line, AI stack integration, or both.