Applied Compute
Enterprise AI agents and fine-tuned models trained on a company's own data.
AI
📍 San Francisco, USA
Founded 2025
Current Valuation
$500M
as of 2025-Q4
PRIVATE
Applied Compute is an enterprise AI startup founded in May 2025 by ex-OpenAI researchers Rhythm Garg, Linden Li, and Yash Patil. It embeds engineers with enterprise teams to fine-tune models and deploy autonomous agents trained on each customer's proprietary data. The company raised about $80M from Sequoia Capital, Benchmark, and Lux Capital at a roughly $500M valuation (September 2025); as of January 2026 it was reported to be in early talks for a new round that could value it near $1.3B (not yet closed).
Company Profile
Last Round
Series A — $80M (Sep 2025) · Lead: Sequoia Capital
Fundraising Status
Series A · $80M · 9 mo ago
privateTotal raised $80M1 disclosed rounds
Funding History
| Round | Amount | Date | Lead Investor | Post-Money |
|---|
| Series A | $80M | Sep 2025 | Sequoia Capital | $500M |
Founders & Key People
Rhythm GargLinden LiYash Patil
Investors
Sequoia Capital · Benchmark · Lux Capital
Products
- Custom enterprise AI agents
- Domain-specific model fine-tuning
Competitors
OpenAI · Anthropic · Sierra · Cognition
aienterprise aiagentsfine-tuning
Private-company numbers are not real-time. Reflects publicly disclosed valuations from press releases, news reports, and tender offers as of 2025-Q4. Refreshed quarterly.