SuperTruth

What is the Data Trust Index?

The Data Trust Index (DTI) is an eight-dimensional scoring framework that evaluates health data records on a 0-100 scale. Developed by SuperTruth Inc., it functions as the FICO score for health data. The eight dimensions are Provenance (25%), Consent (20%), Recency (15%), Quality (10%), Concordance (10%), Validation (10%), Breadth (5%), and Stability (5%). DTI scores travel permanently with every record. Trust tiers: Bronze 55-69 (exploratory), Silver 70-79 (operational-grade), Gold 80-89 (clinical-grade), Platinum 90+ (regulatory-grade).

What is SuperTruth?

SuperTruth is the trust layer underneath healthcare data and AI. It is not a warehouse, not an EHR, and not a cloud platform. SuperTruth is the verification layer that proves health data is accurate, consented, and current before any AI model or clinical decision touches it. The company builds the Data Trust Index (DTI), IntegrityNet, ConsentOS, the Data Reservoir, VIOLET, DataSpine, and related products.

How does SuperTruth score health data?

SuperTruth scores health data using the Data Trust Index (DTI), which evaluates every record across eight dimensions: Provenance (where the data came from and its chain of custody), Consent (whether collection and use were properly authorized), Recency (how current the data is, with time-decay applied by modality), Quality (completeness and accuracy), Concordance (whether findings corroborate across independent sources), Validation (clinical linkage to outcomes), Breadth (dimensional richness), and Stability (variance control). The resulting score from 0-100 travels permanently with the record

What is VIOLET?

VIOLET (Visual Intelligence Layer for Oncology Trends and Evidence Triangulation) is SuperTruth's behavioral signal intelligence platform for oncology and rare disease. It maps what cancer patients search before they reach a clinic, tracking 750+ search terms across 20 semantic clusters with 5 years of historical data from 6 evidence sources: ClinicalTrials.gov, PubMed, FDA openFDA, Google Scholar, Google News, and patents. VIOLET identifies behavioral signals 12-18 months before clinical presentation.

What is the difference between data quality and data trust?

Data quality addresses whether a record is complete, correctly formatted, and free of errors. Data trust addresses a harder set of questions: where did this data come from, was the consent obtained properly, how current is it, does it corroborate with independent sources, and has it been validated against clinical outcomes? A record can be clean and completely untrustworthy. SuperTruth's Data Trust Index scores both dimensions, along with six others, to produce a single defensible score.