Understudy Labs
Understudy Labs is a YC Summer 2026 (S26) company. Based in San Francisco, CA, USA. Team of 2.
About Understudy Labs
Summary
Understudy Labs builds Orchestra, an inference cloud that cuts the cost of running AI workflows by replacing expensive frontier models with smaller, specialized models trained on a company's own production traces. It targets businesses running high-volume, repetitive AI tasks, such as legal workflows, classification, extraction, and structured-output generation, where a general-purpose model is being called at scale. The platform observes live runs, benchmarks candidate models against held-out evaluations, and routes traffic to a specialist only once it matches or beats the incumbent on quality, cost, and latency.
Business model
Usage-based inference pricing per task, priced below frontier model API rates.
Go-to-market
Targets engineering and AI teams at companies already paying frontier model API bills; prospects engage through a direct sales motion via a "Talk to Orchestra" call-to-action on the website.
From the Y Combinator listing
Self-optimizing neocloud that cuts LLM bills by 80%
Understudy 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. Understudy 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, Understudy starts routing production traffic to it. As more work is completed, the model keeps improving. We started Understudy because we believe every company using AI should be accumulating intelligence, not accumulating API bills.
Facts
- B2B / B2B -> Infrastructure
- San Francisco, CA, USA
- 2
- Active
- Early
Founders (2)
- Aamir Poonawalla
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