Free tier: 1,000 credits per day, resets every 24 hours. Pay-as-you-do: €10 per 1,000 credits. Enterprise: Custom pricing with volume commit, on-prem, and SLAs.
Not given
Key features
Compile firmware against production toolchains remotely without installation
Execute firmware on virtual chip instances with verdict, trace, and register state
Unit and integration testing on virtual hardware with coverage reports
Inject synthetic sensor data into running firmware
Query collective embedded corpus for chip-specific solutions
Support for Rust, C, and multiple RTOS frameworks
High-quality training data sourced from contributors with 25% having advanced degrees
Model evaluations and red-teaming
RLHF (Reinforcement Learning from Human Feedback)
Private benchmarks and leaderboards for AI companies
Full-stack AI systems deployment
Hands-on AI application building for specific use cases
What makes it different
Virtual instances of actual target chips, not generic CPU emulation, with same binary, peripherals, and interrupt timing as physical boards
Shared corpus that deepens with every call, allowing agents to inherit knowledge from previous runs
Eliminates need for physical hardware for testing, porting, and debugging
Single MCP endpoint exposes cross-compilation, peripheral simulation, sensor IO, and chip-specific plumbing
Access to licensed toolchains on demand without local installation
Powers 90% of the world's leading generative AI model builders
Chiplab
Scale