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From production data to a model you own

An AI lab for your engineering team.

You don’t need a frontier model for every task. Train smaller models for the work your agents do, from labeling emails to calling APIs, and measure them against the model you use today.

01 / Code and production context

Find the cause of agent failures.

Connect your repository and production traces to see how your agent makes decisions. Inspect the failing step, the tool call, and the context behind it.

Explore observability
Agent contextThe repository scan expands into the agent page, discovers capabilities, and opens a capability’s full decision graph.

02 / Data preparation

Turn real work into training data.

Build datasets from your agents’ production traces. Clean, filter, and prepare examples for training and evaluation, capturing the knowledge specific to your business.

Explore data workshop
Data workshopProduction traces open in Data Workshop, then the camera follows notebook cells appearing as they clean and prepare training examples.

03 / Evaluation and optimization

Prove improvements before you ship.

Test prompts and models against real tasks from your production data. Compare results with your current model, inspect failures, and catch regressions before deployment.

Explore agent testing
EvaluationsThe capability page zooms into a model call and its evaluation gates and judges, then returns to the full decision graph.

04 / Training and deployment

Train a model for your tasks.

Fine-tune an open model on your own data. Overmind handles training and deployment. You own the weights, with the choice to host on Overmind or run it yourself.

Explore model training
Model trainingThe training setup opens into the live run dashboard, follows training progress, and creates a model pull request.
Enterprise grade security

Intelligence-grade foundations

Built by AI & defense intelligence pioneers

Overmind is engineered on secure, robust foundations, not fragile wrappers. Founded by security engineers with combined decades of experience across defense intelligence, ML infrastructure, and fintech hyper-scaling.

  • Air-gapped & on-prem deployment

    Run the entire harness inside your private cloud or local environment.

  • Zero third-party training

    Your proprietary operational data never leaves your pipeline to train public foundation models.

  • Deterministic validation

    Advanced verification harnesses ensure model outputs are empirically tested before deployment.

Own the model your product runs on

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