Blind spots created by raw-data limits
Insurers, financial institutions, and platforms often decide with only their own signals, so duplicate claims, identity mismatch, and anomalous patterns are detected late.
B · B2B
Enterprise wedge: private risk checks across institutions
Insurance, finance, and platform risk decisions improve when signals can be checked across institutions. PET computes the needed risk result without moving raw customer data.
B · B2B
Customers buy the risk decision, not the raw data
This product track privately cross-checks claims, identity mismatch, FDS, and anomalous transaction signals that were previously blocked by raw-data sharing limits.
Private cross-check result
Claims, identity, account, and transaction patterns remain with each institution while the customer receives only the risk score and validation result needed for action.
Use-case design to subscription or per-check pricing
The commercial path starts with use-case design and validation, then can move into subscription or per-check pricing once repeat usage is proven.