RL Environmentcompany reported
Custom Environments and Harnesses
Environment and harness construction for enterprise reinforcement-learning programs.
Commercial
Official websitePure-play commercialCatalog available · 4
Applied Compute
Ex-OpenAI trio applying RL to build specialist enterprise models
Applied Compute, founded by ex-OpenAI researchers who worked on o1 and Codex, uses reinforcement learning and company-specific environments to train specialist frontier models for enterprises. It launched publicly in October 2025 with $80M raised, led by Benchmark and Sequoia.
Reported in talks (Jan 2026) at $1.3B valuation; founders are recent Stanford grads
This legacy directory profile is awaiting claim-level source migration. Existing values are retained, not upgraded to verified facts.
| Website | appliedcompute.com |
|---|---|
| Domains | Enterprise, Machine Learning, Custom Environments |
| Location | San Francisco |
| Team size | 11-25 |
| Founded | 2025 |
| Funding | $80M total at $700M valuation (Oct 2025) |
| Raising | Reported yes · re-verification required |
| Founders | Rhythm Garg, Linden Li, Yash Patil |
Capability coverage
Focus areas and technical capabilities are shown separately. Missing technical evidence remains Unknown.
Focus areas
Legacy classification; source migration pending
Catalog-evidenced technical capabilities
Unknown. No source-backed catalog capability record is available yet.
Capability catalog
Products and services supported by official company materials. Reviewed 2026-08-16.
Product capabilitycompany reported
Agent Cloud Environments
Environment projects managed inside the Applied Compute Agent Cloud.
Commercial
Agent CloudDatasetcompany reported
Custom Datasets
Customer-specific datasets used in model training and evaluation.
Commercial
Official websiteEvaluation Suitecompany reported
Evals and Graders
Evaluation, task-design, and grader work integrated with model training.
Commercial
Official websiteEnvironments & datasets
Verified public artifacts and documented private commercial inventory.
No verified catalog items recorded yet. This does not mean the company has no environments or datasets.
Sources
Structured sources have not yet been migrated for this profile.
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