Hire your first AI data scientist
as a new member to the Team
Developed by the scikit-learn team, our AI data science agent adds statistical methodology to all the pipelines your team ships. 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 a data science agent that runs inside your team’s existing coding tools, 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.