The AI workspace data science
teams actually need.

Camber is a coding agent built around your team’s context.

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Connect data, code, results, logic, and knowledge so you can move faster, build trusted agents from your work, and share them with anyone who needs answers.

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Built by a data scientist who scaled this problem

Camber was founded by Aristotle Socrates, a former theoretical astrophysicist and data science leader who saw the same bottleneck everywhere he worked: as data teams grow, their work gets more valuable, but harder to reuse.

The answers live across code, notebooks, datasets, dashboards, and the judgment of the people who built them. So when someone needs an answer, they go back to the data scientist. The question gets clarified, the analysis gets reconstructed, and the same context gets explained again.

Coding agents made it possible to work faster, but they didn’t solve the underlying problem. They still needed the right data, history, logic, and team knowledge to do trustworthy work.

Camber was built to give agents that context. Data scientists can work with Camber like a coding agent, then turn what they build into trusted agents that others can use directly.

The result: data science that doesn’t stop with the data scientist.