RunLocal’s AI agent is specialized in inference optimization and hardware acceleration for platforms like Nvidia Orin/Thor and Qualcomm.
Under the hood, our agentic environment facilitates reliable hardware-in-the-loop experimentation and continuous learning.
It tracks every experiment and continuously refines experimentation data into an understanding of what drives performance on your target hardware.
This environment means that a generic coding agent (e.g. Codex or Claude Code) can experiment and iterate better, faster and cheaper.
With RunLocal, you hit performance targets faster and ship more optimized models – without hiring inference optimization specialists.
We’re working with leaders in autonomous vehicles and robotics. We’re backed by investors like Y Combinator and 468 Capital.