Where teams use it.

Anywhere the same real-world entity appears as different records. A few common cases below.

Unify duplicate and fragmented customer records across systems into one profile.

Resolve the duplicate, inconsistent records that document and LLM extraction pipelines produce into clean entities.

Deduplicate products and match listings across suppliers and marketplaces.

Link patient records across systems where identifiers don’t line up, without moving the data.

Match entities against sanctions and reference lists, tolerating name variation.

Deduplicate and unify vendor records for spend analytics and procurement.

Match publications, authors, and citations across bibliographic sources.

Link claimants, policyholders, providers, and claims across systems.

Resolve customers, accounts, and counterparties across core banking, cards, lending, and acquired institutions.

Link citizen, benefits, and vendor records across agencies that were never designed to join.

Unify customers across channels and loyalty, and products across marketplaces, suppliers, and brands.

Build one guest profile across properties, booking channels, and loyalty systems.

Don’t see your use case?

These are just the common ones. If you’re resolving messy records that point to the same entity, tell us what you’re working with.