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Understudy Labs

Effortlessly move to open weight models
San Francisco , US
Artificial Intelligence
Open Source
AI
ML
An open-source toolkit to capture traces, evaluate cheaper models against benchmarks, and ship specialist routes you own. Capture traces from LLM production workflows with a single install that deploys within coding agents you already use. Hosted infrastructure is optional. Evaluate the captured traces and set a benchmark for success. Every future model switch meets or exceeds it in A/B testing. Train and fine-tune a new model on prompts and weights you always own. Start locally and scale into cloud-hosted processes as you see success. Deploy a new model only when the held-out eval is beaten. Serve it wherever you want. Production data feeds back into training and compounds performance over time. Test. Learn. Deploy. Repeat.
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Founded2026
Team Size2
LocationUS