Data Lakehouse
Version control for your go-to-market data.
Your CRM only knows what's true right now. Coffee knows how it got that way.
The old value is gone the moment a field changes.
When a field changes in Salesforce or HubSpot, the old value disappears. So no one can answer "over the last five quarters, at what point do our deals typically fail?"
Until now, the fix was a data warehouse, a consultant to run it, and snapshot tools on top.
What the lakehouse does
Full history and lineage
Where every data point came from, its original state, and every change and association since.
Version control, like GitHub
When marketing, a seller and a data vendor update the same contact at once, Coffee tracks every change in order, so people and agents can see the real source of truth.
Data quality at write time
Duplicates merged as they arrive, including the same person with a new email. Contact-to-account associations updated automatically.
Explainable, reversible
Every hygiene decision is recorded. Disagree with a merge? See why it happened and roll it back.
Field-level history
Right-click any field to see its history. The entry-level contact who's now a VP. The deal whose next step hasn't moved in seven weeks. Your brain isn't a database; Coffee remembers so you don't have to.
Snowflake & Databricks connectors
Already have a warehouse? Send Coffee's clean, historical data into it.