Every field means one thing.
Standardizing 600M+ records across 9+ disparate sources into one governed vocabulary, so matching is high-confidence and person-centric, and every field traces back to where it came from.
A vocabulary, a catalog, and a discipline.
Nine systems can call a birthdate nine things. Governance is the working agreement, and the tooling, that makes them all mean one thing before matching ever runs.
Standards & vocabulary
A canonical schema with controlled values and crosswalks from every source field, agreed with data owners, versioned like code.
Catalog & lineage
Every dataset findable, every field documented, every value traceable to its source system, so analysts trust what they query.
Quality & stewardship
Validation rules on every load, exception queues for what fails, and stewards with the authority to resolve conflicts, not just log them.
Standardize first. Match second.
Agree on the words
Data owners converge on one canonical schema, names, formats, controlled values, before a single record moves.
Map every source
Field-by-field crosswalks from each of the 9+ systems to the standard, with transformations documented and reviewable.
Certify what's clean
Datasets that pass quality gates are certified in the catalog, the mark that tells matching, analytics, and ML they're safe to build on.
Steward the exceptions
Conflicts and failures route to stewards with lineage attached, so resolution is a decision, not an investigation.
Certified is a status, not a hope.
The catalog shows exactly how much of each dataset conforms to the standard. Certification is earned per dataset, held by continuous validation, and revoked the moment quality slips, which is why 600M+ records stay matchable.
Tools we deliver with.
Built for the mission in front of you.
Software, data, AI, and cybersecurity built around the outcomes your team owns.
Let's Talk →