Chiplab, built by Veecle, is a platform that gives AI agents access to hardware knowledge, simulations, and virtual devices through a single API. It addresses a core gap in AI-assisted development: while agents can write firmware code, they traditionally cannot run it on real chips, observe chip behavior, or fix what they cannot see. Chiplab closes this loop by providing virtual instances of real target chips that agents can call, evaluate, and learn from.
Through an MCP (Model Context Protocol) integration, agents can build, flash, run, and test firmware on virtual chips without physical hardware. The agent sees what the chip did and can fix what broke.
Key Features
- Virtual testing: Build against a virtual instance of a real target chip; flash, run, and read UART output without hardware.
- Port to a new chip: Point an agent at an unfamiliar chip and have it port HAL calls, pin maps, and linker scripts, validated on a virtual board.
- Debug HardFaults: The agent reproduces crashes on a virtual board, reads fault registers (CFSR, stacked PC), and provides root cause and fix.
- Try before you buy: Run the same firmware on candidate chips side by side and compare real behavior such as timing, peripherals, and memory headroom.
- Parallel execution: Fan one job across many virtual boards at once, with every target building and testing in parallel.
Who It's For
Startups, developers, teams, engineers, and AI studios building firmware across domains including drones, IoT, robotics, ADAS/automotive, and indie hardware.
Key Benefits
- Run, flash, and test firmware on virtual chips without physical hardware
- Agents can debug HardFaults by reading fault registers directly on a virtual board
- Compare real behavior across candidate chips side by side
- Parallel execution across multiple virtual boards from a single prompt
