Research & Development

Plug a Jetson or Raspberry Pi into your laptop over USB-C, run one command, and watch your app build, deploy, and stream logs back — like iOS development, but for robots.

If your project has a Dockerfile, it runs on the device. Go from an idea on your laptop to inference on real sensors before the meeting ends.

Python, Rust, Swift, C++, TypeScript — bring the tools your lab already uses. Containerized apps mean no cross-compilation gymnastics or golden SD cards.

Declare the capabilities your experiment needs — GPU, cameras, GPIO, I2C, SPI, audio — and Wendy wires them into your container securely.

Devices run fully offline and are discoverable over USB-C or local mDNS. Run trials in the field, the basement, or the flight cage — no Wi-Fi required.

Stream logs and metrics live during an experiment, and capture sensor data on-device to build the datasets your next model needs.

Containerized apps on a versioned, signed OS image mean every run is pinned: same code, same stack, same device state — publishable, repeatable results.

Push signed over-the-air updates to test units in the field. Fix the bug, ship the new model, and keep the trial running without recalling hardware.

The stack that runs your prototype is the stack that ships: the same OS, runtime, and tooling scale from one devkit on your desk to a certified product line.

Discover, name, and task every devkit in the lab from one console — see what is running where, on which version, without a spreadsheet of IP addresses.