Orchestra
Self-optimizing neocloud that cuts LLM costs by 100x
About Orchestra
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.
Public traction evidence
Each signal links to the public source used for attribution.
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Excited to announce that @aamirpoonawalla and I are launching @understudylabs as part of @ycombinator 's S26 batch.
Excited to announce that @aamirpoonawalla and I are launching @understudylabs as part of @ycombinator 's S26 batch. We help you cut your company’s Anthropic bill by 80% with no loss of performance. Understudy is an inference cloud. We capture your AI traces, train smaller
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Call in the Understudy At the last few companies I worked at, I kept seeing the same pattern.
Call in the Understudy At the last few companies I worked at, I kept seeing the same pattern. A team uses frontier models to run one repetitive task over and over: classify the message, pick the next tool, pull the right
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https://t.co/so1rpWbKII
https://t.co/so1rpWbKII
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i love @FireworksAI_HQ product and it’s become a keystone in @understudylabs stack
i love @FireworksAI_HQ product and it’s become a keystone in @understudylabs stack
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Since I’m feeling nostalgic about YC, I wanted to take a chance to recognize some amazing batchmates and YC alums i’ve been working with recently.
Since I’m feeling nostalgic about YC, I wanted to take a chance to recognize some amazing batchmates and YC alums i’ve been working with recently. I’m a really happy customer of all these platforms myself and you should be too.
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inference is already pacing to be the biggest market in history and we are at 2.5% adoption in the economy go big or go home.
inference is already pacing to be the biggest market in history and we are at 2.5% adoption in the economy go big or go home.
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god, i haven’t used claude in weeks total openai cultural victory @thsottiaux https://t.co/nvplBVKnd5
god, i haven’t used claude in weeks total openai cultural victory @thsottiaux https://t.co/nvplBVKnd5
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NVIDIA and the hyperscalers are about to flood the market with the highest quality open-weight models we've ever seen
NVIDIA and the hyperscalers are about to flood the market with the highest quality open-weight models we've ever seen