Model Factory
Train and evaluate vision models on private data with strong baselines.

Enterprise-grade perception for images, video, and edge.
Vision AI is Zansoc’s production perception platform — training, evaluation, deployment, and monitoring for detection, tracking, segmentation, and geospatial understanding. It is built for teams that need sub-second latency, harsh environments, and auditability across camera fleets.
Train and evaluate vision models on private data with strong baselines.
Optimized packs for GPU, NPU, and ARM targets.
Camera health, calibration drift, and model rollout controls.
Labeling and exception queues wired into the loop.
Vision AI includes dataset versioning, active learning, adversarial evaluation, and a serving stack that can run in cloud regions or fully air-gapped. Operators manage model channels per site, with canary rollouts and automatic rollback when quality or latency SLOs break.
Consumer vision APIs assume clean frames. Vision AI assumes dirt, glare, night modes, and remounted cameras. Calibration services and domain-adaptation recipes keep accuracy stable as the physical world changes.
Events stream into MES, VMS, WMS, or custom agent workflows via SDKs and webhooks. Every detection carries confidence, model version, and sensor metadata for downstream governance.