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Your Data Spring cleaning, handled

We tend to the mess so you don't have to. Every tool connected, every metric defined, every team aligned — now you can get back to building.

How does it work?

Step #1

Bring In Any Data Source

Connect to 3,000+ platforms, upload documents, or scrape data from websites.
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Step #2

Clean, Merge, and Analyze

Unify revenue data and get instant answers in plain English via Structify or Slack—from high-level trends to advanced analysis.
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Step #3

Visualize and Share Insights

Turn your answers into interactive charts and dashboards. Export, share with your team, and make decisions faster.
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Trusted by Revenue Teams Across Industries

Time to Spring Forward

What gets handled

Two parts. One clean stack.

Data Docs / Source Maps

Every corner of your data stack, documented. We build a living map of every data source you connect — agentically, automatically, and always up to date. The deep clean that never stops.
A deep clean for every data source. We map each connector, ask the right clarifying questions, and maintain a living schema — so nothing gets left in a dusty corner of your stack.
Spring cleaned down to the source. Every data source you connect gets its own living map — built agentically, maintained automatically, always accurate.

Business Wiki / Ground Rules / Compass

  • One definition for every metric. Forever. Your business logic, processes, and metric definitions — documented in one place, referenced in every query, updated as you go. No more two different answers to the same question.
  • Spring clean your definitions once. Stay aligned forever. A living semantic layer that keeps every team working from the same playbook — so "ARR" means the same thing to sales, ops, and finance, every single time.
  • The part of the spring clean that actually sticks. Document your business logic, processes, and metric definitions once — and every query you run references them automatically.