Building in private

Every model runs on your roadbed.

Own your intelligence.

How it works

Capture. Rebase. Promote.

The system of record for what your models have learned, and the control plane for changing them. Roadbed does not train models.

We checked every fine-tuning platform. None re-qualifies your model when the next base ships, and none signs off the change. Roadbed does both.

Any model on an open-weight base. Closed fine-tuning APIs retire models on their schedule, not yours.

  1. 01

    Capture verdicts

    Every accept, edit and rejection becomes a labeled example.

  2. 02

    Derive evals

    Golden sets, correction tests and slices, from your own verdicts.

  3. 03 Only Roadbed

    Rebase on every new base

    Retrained and scored on your evals, on your hardware.

  4. 04 Only Roadbed

    Promote behind a gate

    Shadow, canary, one-click rollback. A report your risk team signs.

The rebase moment

A pull request against your model.

A new base ships. Roadbed opens a request: retrained on your data, scored on your evals, costed on your hardware. Approve, and it promotes.

roadbedbot opened a rebase just now

A new 27B open-weight base shipped. Candidate ready for claims-triage.

v12 → v13 · trained on your frozen set · 1,284 holdout cases

Your evals
+2.1
94.0 → 96.1
Cost
−31%
per 1k calls, your GPUs
Regressions
0
across 14 slices: line, region, channel
License
OK
Apache-2.0, BOM attached
What a rebase looks like. Illustrative numbers.

Works wherever a model is already running.

Any model on an open-weight base. One asset per model, one succession engine, your hardware.

  • Documentsclaims, KYC files, medical records
  • Agentstool-calling, browser and coding agents
  • SpeechWhisper-class transcription
  • Scienceprotein and bio models

Your intelligence is a codebase.
Version it. Test it. Rebase it.

Read the manifesto

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