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datafor

For business teams

Ask in plain language. See how the answer was built.

Explore dashboards and ask follow-up questions on your own, with numbers that match the ones finance and the data team use.

The problem

Answers arrive slowly, in a queue for the data team, and when they come they do not always match last week’s report.

How Datafor helps

  • Ask the AI Agent in Datafor, or from Claude, ChatGPT, and Cursor. It plans multi-step questions, asks for clarification, and handles follow-ups such as “now by month” or “only East”. AI Agent →
  • See the query behind every answer, plus any assumptions the Agent made.
  • Explore dashboards with drill paths, decomposition trees, and filters that apply on demand. Dashboards →
  • Export to Excel with the formatting intact.
  • Consistent numbers: everything comes from certified metrics in the shared model.

What changes

  • Routine questions get answered in minutes, not days.
  • Meetings argue about decisions, not about whose number is right.

See Datafor on your own data

Book a guided session for your scenario, or start a 30-day trial on your own infrastructure.