Applied Compute
Applied Compute trains enterprise-specific AI agents on a company's proprietary workflows and institutional knowledge, then deploys them into production with a continuous learning loop so they improve from real decisions over time.
Raised $160M across disclosed rounds.[2][3][6]
Venture Round closed April 2026, led by Kleiner Perkins.[3][6]
post-money valuation is not publicly disclosed.
Named investors include Kleiner Perkins, Benchmark, Sequoia Capital, Lux Capital, Elad Gil, Greenoaks Capital, Neo, Hanabi Capital, Abstract Ventures, Conversion Capital, Conviction Partners.[2][3][4][5][6][8]
Yash S. Patil, Co-Founder & CEO[5][7][8]
Rhythm Garg, Co-Founder & CTO[5][7][8]
Linden Li, Co-Founder & Chief Architect[5][7][8]
Brandon Snider, Research Lead[1][11]
Sam Denton, Platform Research Engineer (fmr. Director of ML Enterprise, Scale AI)[1][11]
No recent signal with a usable source.
Ask who funds the company and on what terms.
Thin file, not a verdict.
May 2026 · appliedcompute.com
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May 2026 · pitchbook.com
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May 2026 · tracxn.com
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May 2026 · linkedin.com
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Applied Compute
Applied Compute trains enterprise-specific AI agents on a company's proprietary workflows and institutional knowledge, then deploys them into production with a continuous learning loop so they improve from real decisions over time.
Ask who funds the company and on what terms.
Thin file, not a verdict.