Solutions · Lending
Catch the repeat defaulter at application.
KYC the borrower, validate the business, and search every applicant against your duplicate and blocklist galleries — before money moves.
Scenario
Loan origination with memory
A loan application arrives. The borrower's selfie is checked for liveness and matched 1:1 to their ID photo; the business's GSTIN and PAN are validated; and the face is searched 1:N against every applicant you've ever enrolled. A defaulter with a new SIM and a fresh email is still the same face — the gallery flags the application before disbursal, not after default.
Example origination flow
- 01Face match (1:1)2 credits
- 02KYB validation (GSTIN/PAN/CIN)2 credits
- 031:N dedupe search1 credit
- 04AML/PEP screening1 credit
Prepaid credits, debited per call. All other checks cost 1 credit.
Platform
The pieces you'll use
Each piece is a product page of its own — same API key, same credit ledger, same audit log.
Outcomes
What lending teams get
01
Repeat fraud stops at the door
Every applicant is searched against your gallery of enrolled faces — blocklisted and duplicate applicants surface at application time.
02
KYC and KYB on one key
Borrower identity and business identity run through the same API, the same ledger and the same audit log — no second vendor for GSTIN checks.
03
Cost you can price per file
Credits are prepaid and debited per call — the flow above costs 6 credits per application, straight from the published price list.
04
An audit trail per application
Each request is logged and each verdict Ed25519-signed, so the origination file carries verifiable evidence.
Put a gallery in front of your book.
Enroll faces from day one — 500 free credits cover your first applications end to end.
500 free credits at signup · API key is shown once at signup.