Enterprise data should describe itself.
SchemaPilot is a seed-stage infrastructure company building the intelligence layer that discovers, models, and maintains data models across fragmented enterprise systems.
How we build.
Automatically discover, model, and connect enterprise data — without asking data teams to give up control.
Inference over documentation
Data models should be derived from how systems actually behave, not from documents that go stale the week they are written.
Explainable by default
Every relationship carries its evidence: matching fields, observed values, confidence, and the systems it came from.
Data teams stay in control
SchemaPilot proposes structure. Approval, rejection, and versioning belong to the team that owns the data.
Metadata-first, read-only
We work from schemas, metadata, and value patterns — designed to fit inside enterprise governance rather than around it.
Complex data stacks, mid-market to enterprise.
Heads of Data, data platform and analytics engineering teams, and CTOs at organizations going through data modernization, migration, or consolidation.