Hire your first AI data scientist
as a new member of the Team
Developed by the scikit-learn team, Skore is the statistical harness for data science agents that builds, validates, and tracks models and applies the methodology of the scikit-learn maintainers at every step. It is deployed on-prem or inside your own cloud, at a fixed price and scope. Your team builds the models, Skore makes sure they hold up.
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Meet Skore
An AI teammate with methodology built in
Skore is the statistical harness that runs inside the coding tools your team already uses, like Claude Code, OpenCode, or GitHub Copilot. It doesn’t replace your data scientists. It handles the repetitive legwork: exploring data, building pipelines, evaluating results with the statistical rigor of scikit-learn’s methodology baked into every step.
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Every experiment lands in the Evaluation Hub: ranked, comparable, and traceable. Your team reviews and decides. The agent does the legwork.
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Private by design
Your stack. Your cloud.
Your data stays yours.Skore deploys inside your own VPC on AWS or Google Cloud: No data leaves your boundary. It works with the frameworks your team already uses: scikit-learn, XGBoost, TabICL, and it connects to your data sources (BigQuery, DataBricks, Snowflake or CSV/Parquet files).
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There’s no migration, no lock-in, and no new infrastructure to maintain. Skore rides alongside what’s already in place.
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One license.
Everything included.
Skore Team comes at a fixed price of €25,000 or $30,000 per year.
The license covers:
The only question left is whether it fits your data
The scope is fixed. The price is fixed. The deployment is in your cloud. What varies is whether Skore matches your team’s specific use case — and that’s a 30-minute conversation.