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Meet Skore.
The AI Data Scientist.

Skore is your new teammate that builds predictive models with scientific rigor and statistical methodology baked in. Any AI provider, any ML framework, any compute.

Skore comparison summary: a Pareto plot of experiment runs, the selected trade-offs, and a models comparison table listing accuracy, F1 score, recall, ROC AUC and precision.
  • AI Agents

    Your AI writes the code. Skore makes sure the results hold up.

    AI coding tools generate scikit-learn pipelines in seconds. Skore makes sure they’re sound: it catches data leaks, picks the right metric for your problem, and flags the silent errors that only surface in production. Skore works with Pi, Cursor, and Claude.

    • Automatic pipeline validation and error detection

    • Smart metric recommendations for your enterprise use case

    Prompt box reading “Ask Skore to build, evaluate, or debug a model”, with the Skore Agent selected and a model picker listing Claude, GPT, Gemini and Mistral Large.
  • Setup

    Two commands. Then it’s just another model.

    Skore lives in your harness’s model picker and runs your experiments end to end: explore, build, evaluate, track. No new tool to learn. Just two commands to install.

    • Two commands to install: skore hub login, then skore agent init

    • Works with opencode, Claude, and Pi, detected and pre-wired

    Code editor showing an opencode.json config with a “skore” provider and a “Skore Agent” model added, marked “Rigor enabled”.
  • No lock-in

    Fits your stack. Respects your data.

    Skore is the layer between your team and your experiments, and it refuses to trap you in any one of them. Bring what you already use. Skore meets your stack where it already runs.

    • Any AI provider: Skore rides along as a model, not a migration.

    • Any compute: Skore meets your stack where it already runs.

    Diagram of three columns – any harness (Claude Code, opencode, Pi), ML framework (scikit-learn, XGBoost, TabICL) and any compute (AWS, Google Cloud, Local) – all connected to the Skore Agent.

Integrate Skore where
your data lives

For your IT team that can’t let data cross their boundary, Skore ships as a blueprint inside your own VPC: the agent integrates in your landscape, the rigor comes to you.

  • Private Cloud On-premise

    Deploy inside your own network.
    Your data never leaves.

  • Google Cloud Platform

    Ship on Google Cloud Platform.
    Connect to BigQuery.

  • AWS

    Provision via AWS Cloud Formation and deploy inside your VPC.

  • Snowpark Container Service

    Run Skore next to your data.
    Nothing leaves your account.

Adopt AI in data science with confidence.

A data scientist with a laptop under her arm walking up the stairs of an open-plan office.