divergent

Training models isn't just for the big labs

Divergent Studio turns Claude Code, Codex and OpenCode into a research lab on your Mac. Beat frontier models at your domain task, for a fraction of the cost.

Divergent Studio: a conversation with Claude Code next to its experiment tree, with a training run streaming its log

Autoresearch, on your Mac

Give Studio a goal and your coding agent runs the research loop until it beats the model you run today.

  • ReadIt reads the papersEvery change cites the paper it came from.
  • BranchIt branches the experiment treeEach idea is a branch. The winners get children.
  • MeasureIt measures every runEach run is scored against its parent, so the tree only climbs.

Start on your Mac. Scale in the cloud.

  • Studio · Mac app

    Research on your Mac

    Free. Your own Claude Code, Codex or OpenCode does the work, on your machine.

    • Sweep a learning-rate schedule on a small model overnight
    • Reproduce a paper's result before you build on it
    • Fix your eval suite, then branch from the baseline
    Download for Mac
  • Cloud · private preview

    Scale it on ours

    For runs that outgrow your Mac. GPUs, sandboxes, tracing and serving, with nothing to set up.

    • Train on supercomputers
    • Give every agent a sandbox that keeps working for days
    • Serve the winner behind an endpoint
    Request access

Why every company will train its own models

What you can train

  • Classifiers

    Route tickets, tag documents and flag risk, in your categories.

  • Extraction

    Pull the fields you need out of forms, invoices and contracts.

  • Agents

    Trained on your tools and your workflows, not someone else's.

  • On-device

    Small enough to run in the browser or on a phone, with no API bill.

How Cloud works

Give your agents a lab of their own.