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Applied Compute builds Specific Intelligence for enterprises, unlocking the knowledge inside a company to train custom models and deploy an in-house agent workforce.

Today’s state-of-the-art AI isn’t one-size-fits-all—it’s a tailored system that continuously learns from a company’s processes, data, expertise, and goals. The same way companies compete today by having the best human workforce, the companies building for the future will compete by having the best agent workforce supporting their human bosses.

Applied Compute a small, talent-dense team of engineers, researchers, and operators who have built some of the most influential AI systems in the world, including reinforcement learning infrastructure at OpenAI and data foundations at Scale AI, with additional experience from Together, Two Sigma, and Watershed.

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industries

increasing productivity efficiency

infrastructure computer science

Milestones

Lux Investment: 2025

Founders

Yash Patil

Rhythm Garg

Linden Li

Lux partners
Brandon Reeves
Lan Jiang

Applied Compute

Michelle Fang
Prableen Kaur
Bibi Masara
Morgan Roundtree
Ale Salardi
Kyrstin Swan
Emily Haight
Laurence Pevsner
Nat Turner
David Yang
Kim Tran
Tess van Stekelenburg
Andrew Wilson
Tracie Rotter
Stevie Lee
Steven Brody
Shaq Vayda
Shahin Farshchi, PhD
Segolene Scarborough
Sean Traynor
Scott Rubin
Saunaz Moradi
Samuel Arbesman, PhD
Samantha Cho
Peter Hébert
Lindsay Morris
Lan Jiang
Josh Wolfe
Grace Isford
Deena Shakir
Debbie Elsen
Danny Crichton
Cristina Morris
Brandon Reeves
Brad Gritsch
Adam Kalish