AI chips for ultra-fast model training and inference
Novel AI hardware and developer platform, built from first principles to let companies train, fine-tune, and deploy frontier models with orders of magnitude better performance than incumbents
Last stage
Seed
Investors
Eric Taylor
Experienced ASIC Architect with over a decade of industry experience, including four tape-outs, two major IP releases, two patents, and a publication. Prior roles at NVIDIA, Freescale/NXP, Arteris IP, and Enfabrica.
Sarang Zambare
Previously Sarang was at Peloton and Caper (W16) (acquired) as their founding deep learning engineer for deploying large vision models on resource constrained qualcomm chips for use in vision based fitness equipment and smart shopping carts. He has multiple patents in computer vision and has shipped AI products at scale with thousands of DAUs. Sarang has bachelors + double masters in Physics from IIT Bombay and UC Berkeley. He loves playing music and is also a certified pilot.
LinkedInNo applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.
