EdgeModelOps

EdgeModelOps is a web app plus lightweight device agent that helps teams reliably deploy, update, and monitor AI models running on edge devices (cameras, gateways, kiosks, industrial PCs). It focuses on the unglamorous parts that break in production: versioning, rollbacks, device health, model drift signals, and bandwidth-aware updates. You package models once, push them to device groups, and get real-time telemetry on FPS, CPU/GPU usage, memory, temperature, and inference error rates. The system flags performance regressions after updates and can automatically roll back to the last known-good model. It also supports offline-first operation: devices keep running even when the network is down and sync when back online. This is not a “train models” product; it’s deployment plumbing for edge AI that most teams hack together poorly.