Mission-grade AI at the edge
Nuclear, energy, mining, and oil & gas run in the harshest, most disconnected places on earth. Wendy brings perception, autonomy, and control directly onto the device — offline, secure, and field-ready where the cloud simply is not an option.
Autonomy for the hot zone
Autonomous robots and drones inspect reactor halls, spent-fuel pools, and high-radiation areas where people cannot safely go — perception and control run on the device.
Fuse radiation, thermal, and visual sensors locally to flag leaks, hotspots, and structural anomalies in real time, with no round-trip to a server.
Full autonomy inside air-gapped, security-critical facilities. No cloud dependency and no data ever leaves the site.
On-device models watch pumps, valves, and cooling systems for the earliest signs of failure, long before they become incidents.
Keeping the lights on at the edge
Edge vision and sensor fusion watch transformers, switchgear, and lines for faults, heat, and vegetation encroachment — locally, in real time.
Drones autonomously inspect turbine blades and solar arrays, detecting cracks, hotspots, and soiling even where there is no connectivity.
Cover sprawling, remote infrastructure offline — substations, dams, and transmission corridors — without a control link.
Detect anomalies before they cascade, with decisions made on the device for sub-second response across the network.
Built for GPS- and comms-denied sites
Perception and control on haul trucks, loaders, and drills operating in GPS-denied open pits and underground.
SLAM and sensor fusion run entirely on-device where there is no comms — shafts, tunnels, and drifts.
Spot gas buildup, ground instability, and personnel proximity in real time, directly on the machine.
Classify material and monitor conveyors with on-device vision to keep throughput high and downtime low.
From the wellhead to the subsea
ROVs and drones inspect rigs, risers, and pipelines in harsh, disconnected environments where the cloud is never an option.
Fuse gas, thermal, and optical sensors to catch methane leaks and flare anomalies the moment they appear — locally.
Autonomous long-range patrols of remote pipeline corridors with no cellular coverage and no operator in the loop.
Monitor pumps, compressors, and valves on-device to prevent unplanned downtime across remote facilities.
Common questions
Direct answers about deploying physical AI in nuclear, energy, mining, and oil and gas environments.
Energy, nuclear, mining, and oil and gas sites often have harsh conditions, segmented networks, and unreliable connectivity. On-device AI lets inspection, anomaly detection, and control systems keep working locally without waiting for a cloud connection.
WendyOS fits nuclear inspection systems, substations, wind and solar inspection drones, mining equipment, underground navigation systems, offshore assets, pipeline monitoring, and remote industrial sites where local inference and autonomy matter.
Wendy keeps sensor streams, camera feeds, logs, and inference workloads on the device or inside the site boundary. That local-first model reduces cloud exposure and supports air-gapped or security-critical industrial environments.
Tell us about your sites and your constraints — we’ll show you perception, autonomy, and control running fully on-device.