RunLocal AI
The AI agent for model deployment, inference optimization and…
About RunLocal AI
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.
Company details
Funding
Total raised
$500K
Last stage
Pre-seed
Investors
Founders
Ciarán O'Rourke
Ismail Salim
Previously worked on the first edge AI video codec at Deep Render and AR/VR apps at Meta. Holds an MSc in Computer Science from Imperial College London.
LinkedInIvan Chan
CTO of Neuralize. Previously a software engineer at Marshall Wace (Europe's largest hedge fund) building an internal AI platform for developers and optimizing low latency streaming systems.
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.
