# Understudy Labs — Effortlessly move to open weight models

```yaml
url: "https://forg.to/companies/understudy-labs"
website: "https://understudylabs.com/"
industry: "AI & Machine Learning"
company_size: "1-10 employees"
headquarters: "San Francisco, USA"
is_hiring: false
open_roles: 0
verified: false
created: 2026-07-23
```

## About Understudy Labs

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.

## Links

- Website: https://understudylabs.com/
- Forg: https://forg.to/companies/understudy-labs

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