Real-time AI on the factory floor
Quality inspection, predictive maintenance, robotics, and safety — running right on the machine, at line speed. Wendy keeps perception and control local, so production never waits on the cloud and your process IP never leaves the plant.
Catch defects at full line speed with vision models running on the station itself — no frames shipped to a server, no cloud latency gating throughput.
Vibration, thermal, and acoustic models run directly on the machine, flagging bearing wear, misalignment, and drift long before unplanned downtime.
Perception and control for robot arms, AMRs, and pick-and-place cells with the deterministic, single-digit-millisecond latency a moving line demands.
On-device vision watches for PPE, proximity to moving equipment, and restricted-zone entry — and reacts in real time, even fully offline.
Camera feeds, recipes, and process data are competitive secrets. Everything is computed locally, so nothing crosses the firewall — air-gapped networks included.
Wendy runs happily inside segmented OT environments: hardware-backed device identity, signed and verified OS images, and encrypted storage on every station.
Push a new model or application to one cell, one line, or every plant. Atomic updates mean a station is never left half-updated during a shift.
Compute throughput, scrap rates, and downtime causes at the edge in real time, and surface the metrics that actually move OEE.
Manage every station, cell, and gateway from one console: issue commands, monitor status, and roll out changes across plants in real time.
First-class support for the edge compute that survives the floor — from NVIDIA Jetson to Raspberry Pi, mounted on the machine, in the cabinet, or on the line.
Common questions
Direct answers about real-time physical AI for quality inspection, maintenance, robotics, and factory operations.
Manufacturing AI often needs line-speed response for inspection, robotics, worker safety, and predictive maintenance. Running models on the station or machine avoids cloud latency, keeps production data inside the plant, and supports segmented OT networks.
WendyOS can run visual quality inspection, predictive maintenance, robot cell control, safety-zone monitoring, line analytics, and edge gateways on supported hardware such as NVIDIA Jetson and Raspberry Pi class devices.
WendyOS is local-first. Applications, sensor processing, and logs run on the edge device, while hardware-backed identity, signed updates, and encrypted storage help teams operate inside segmented or air-gapped factory environments.
Tell us about your line and your constraints — we’ll show you inspection, maintenance, and control running right on the machine.