Applied Compute
We build Specific Intelligence for specific work at specific companies.
San Francisco, United States · Founded 2025 · $102.8M raised
- Headquarters
- San Francisco, California
- Employees
- 1–10
- Founded
- 2025
- Business Model
- B2B
- Website
- appliedcompute.ai
- Total Funding
- $102.8M
- Last Round
- $80.0M Series BOct 2025
- Rounds
- 3
Totals include recorded grants and other qualifying funding, not just equity. What counts toward funding.
Indexed holds 3 funding rounds and 3 investors for this company. The full record is or through the API.
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 $102.8M in total across 3 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
Oct 2025
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Funding: Pre-Seed through Series B. Amounts, valuations, and investors where available.
Investors
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