OUR APPROACH TO DATA
Useful organization intelligence needs more than a match. It needs a source, a clear relationship, and an honest account of what’s known.
The process below is the standard we are building toward. Our real dataset and ingestion workflows are still in development.
See the synthetic previewSTART WITH PERMISSION
Publicly available does not automatically mean available for resale. Before a source enters a customer dataset, we plan to review collection, reuse, redistribution, and transfer permissions for the specific use.
Unknown rights keep a record out of customer delivery.
PRESERVE THE ORIGINAL
Source identifiers, URLs, retrieval dates, and applicable terms belong alongside the original record. A normalized organization should not erase where its information came from.
A source record and a canonical organization are different things.
RESOLVE WITH CARE
A matching name, domain, or street address can suggest a connection. It cannot establish one on its own. Ambiguous matches need review, and merge decisions need a way to be reversed.
Keep ownership, management, branding, and affiliation distinct.
MAKE UNCERTAINTY VISIBLE
Relationship assertions should include the supporting source, review status, and verification date. Conflicting claims, unresolved relationships, and aging evidence need clear labels.
AI-generated enrichment is a claim to verify, not a source of truth.
BUILD FOR CHANGE
Our planned release process includes versioned snapshots, source-aware refreshes, and correction or removal handling. Historical evidence helps explain what changed and when.
Quality and coverage claims must follow measurable evidence.
A CLEAR PRODUCT BOUNDARY
PractaGraph is focused on dental businesses and permitted professional context. Patient information, clinical records, insurance claims, and other protected health information are outside our scope.
FROM PRINCIPLES TO PRODUCT
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