RunLocal
An environment that makes coding agents better at ML model inference optimization and hardware acceleration for edge hardware such as NVIDIA Orin, Qualcomm and Ambarella.
About RunLocal
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.
Products
An environment that supplements off-the-shelf coding agents with purpose-built tools, context management, benchmarking infra and hardware understanding for optimizing ML model i...
Security and compliance
As reported by RunLocal. Ask for audit reports before you buy.
- description
- fieldEvidence
Is this your company?
Claim the profile to keep facts current, answer buyers and submit evidence for the next ranking review.
Claim RunLocal