Orchestra
Self-optimizing neocloud that cuts LLM costs by 100x
About
Orchestra is an inference cloud. We capture your AI work traces, train smaller models, and automatically deploy them (only when they outperform the expensive model you are currently paying for).
Instead of renting the same frontier model forever, your AI infrastructure gets faster, smarter, and cheaper every time it runs.
Suppose your product uses Claude for a repetitive legal workflow.
Orchestra observes successful production runs, learns the specific tools and judgment required for that workflow, and trains a specialized open-weight model.
Once that model matches or beats Claude on a held-out evaluation, Orchestra starts routing production traffic to it.
As more work is completed, the model keeps improving.
We started Orchestra because we believe every company using AI should be accumulating intelligence, not accumulating API bills.
Topics
- Location
- San Francisco, CA, United States
- Team size
- 2 employees
- YC batch
- Summer 2026
- Status
- Active
- Stage
- Early stage
