Applied Compute

We build Specific Intelligence for specific work at specific companies.

San Francisco, United States · Founded 2025 · $82.8M raised

Employees
1–10
Founded
2025
Business Model
B2B
Total Funding
$82.8M
Last Round
$80.0M Series BOct 2025
Rounds
2

About

Applied Compute builds Specific Intelligence for enterprises — unlocking the latent knowledge inside a company to train proprietary custom AI models and deploy an in-house agent workforce. Founded in 2025 by former OpenAI researchers Yash Patil (CEO, ex-Codex), Rhythm Garg (CTO, co-contributor on o1), and Linden Li (ML systems and RL infrastructure), the company embeds engineers directly within customer teams and uses reinforcement learning to train domain-specific models on customer data. Early customers include DoorDash, Cognition, and Mercor. Backed by $80 million from Benchmark, Sequoia, Lux Capital, and notable angel investors.

Summary

Applied Compute is an Artificial Intelligence company based in San Francisco, United States, founded in 2025. It has raised $82.8M in total across 2 rounds, most recently a $80.0M Series B round in Oct 2025. Investors include Benchmark, Sequoia Capital and Lux Capital.

Tech & App Stack

5 technologies & apps tracked

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Funding History

Series BSeries BOct 2025
$80.0M

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Investors

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