AI Deployment Firms › AI platforms deployed by their own engineers
Applied Compute
Ex-OpenAI researchers who train company-specific models and agents on each enterprise's own data.
Start-up founded by three former OpenAI researchers that builds 'specific intelligence': custom models and in-house agents trained on a client's proprietary data and run under the client's control. Early users reported include Cognition, DoorDash and Mercor. Launched in October 2025 with $80M from Benchmark, Sequoia and Lux.
- Type of firm
- Platform with embedded engineers
- Known for
- Custom model training and agent platform for enterprises
- Based in
- San Francisco, United States
- Origin
- Started as an AI or data firm
- Total raised
- $80M
- Ownership
- VC-backed
- Status
- Active
- Generalist or specialist
- Generalist
- Own product
- Yes: AC2 (Agent Cloud)
- Delivery model
- Embedded team, Runs it after launch
- Founders
- Yash Patil, Rhythm Garg, Linden Li
- Website
- appliedcompute.com
Funding and deals
- 2026-04: Venture round, not disclosed, led by Kleiner Perkins
- 2025-10: Round, $80M, led by Benchmark, Sequoia, Lux
Investors
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