Veecle

Veecle is a platform that lets AI agents interact with physical hardware — specifically microcontrollers and embedded chips — without needing the actual hardware on your desk. Its flagship product, Chiplab, gives agents access to virtual instances of real chips, so they can write, build, flash, and test firmware just like a human engineer would. The loop is simple: an agent writes code, runs it on a simulated chip, reads the output, and fixes any issues. This makes it possible to develop and validate firmware for chips you don't even own, or to test across multiple targets at once.

What makes Veecle stand out is how it turns the chip into a programmable resource. Through a single API and the Model Context Protocol (MCP), agents can call up a virtual board, flash firmware, and read UART output. They can port code to a completely different chip — adjusting HAL calls, pin maps, and linker scripts automatically — and verify the result on a virtual instance. The platform also supports parallel execution: you can fan out a single job to many virtual boards and get a compatibility matrix back from one prompt. Debugging is handled by the agent itself, which reads fault registers and traces the root cause of a crash.

Veecle is built for embedded software developers, firmware engineers, and anyone working on hardware-software co-design. It's especially useful for teams that need to evaluate multiple chips before committing to a purchase, or for companies developing firmware for automotive, IoT, and industrial systems where physical hardware is scarce or expensive. By letting AI agents take over the tedious parts of firmware development — porting, debugging, and testing — Veecle speeds up development cycles and reduces the need for physical lab setups.