Mission-grade AI at the edge
Mission-grade physical AI for contested, disconnected environments where the cloud simply is not an option. Wendy runs perception, autonomy, and control directly on the device — offline, secure, and field-ready.
Operate fully offline in GPS- and comms-denied environments. Perception, planning, and control all run on the device — no cloud, no link required.
Run detection, tracking, and targeting models locally on Jetson-class compute, with no round-trip to a server and no telemetry leaving the platform.
Fuse camera, radar, lidar, RF, and IMU streams in real time to build a single situational picture the autonomy stack can act on.
Hardware-backed device identity, signed and verified OS images, and encrypted storage keep every platform mutually authenticated and tamper-resistant.
Many platforms act as one. Dynamic tasking and collaborative autonomy let UAS, UGVs, and sensors share a target picture and split the mission in real time — no operator micromanaging each unit.
Take direct, real-time control of any platform from anywhere, for the moments when autonomy needs a human in the loop.
Push signed application and full-OS updates to one unit or the entire fleet. Atomic updates ensure a platform never gets bricked downrange.
Tamper-evident, on-device logs capture sensor data and decisions with full context for after-action review and accountability.
Task and coordinate many platforms from one console: issue commands, monitor status, and orchestrate missions in real time.
First-class support for the edge compute that ships on UAS, UGVs, and fixed sensors, from NVIDIA Jetson to Raspberry Pi.
Common questions
Direct answers about running mission-grade physical AI locally on defense platforms.
Defense platforms often operate in contested, GPS-denied, or disconnected environments where cloud round-trips are unreliable. Running perception, autonomy, and control on the device keeps the mission loop local, reduces network dependency, and preserves operation when communications degrade.
Yes. WendyOS is designed for edge devices that need to keep running offline. Apps, models, logs, and control software execute locally on the platform, while signed updates and fleet operations can be handled when connectivity is available.
WendyOS fits UAS, UGVs, fixed sensors, rugged edge computers, and Jetson-class systems that need local inference, sensor fusion, device identity, mission logging, and controlled software updates in the field.
Tell us about your platforms and your mission profile — we’ll show you perception, autonomy, and control running fully on-device.