DriftDeploy

DriftDeploy is an Edge AI app (web + lightweight desktop/agent) that monitors on-device ML models for data drift, silent accuracy decay, and sensor anomalies, then guides safe, bandwidth-light updates. It runs a small agent on gateways/industrial PCs to compute privacy-preserving drift metrics (embeddings, feature stats, confidence shifts) and only ships summaries to the web console. When drift crosses thresholds, the app recommends actions: recalibrate sensors, adjust thresholds, collect a targeted sample set, or roll out a quantized model patch. It also supports “canary at the edge” deployments so you can test a new model on 5% of devices before wider rollout. This is realistic for teams who can’t stream raw data to the cloud due to cost, privacy, or connectivity. It won’t magically fix bad models; it will make failures visible early and reduce operational chaos.