Verify the person.
Confirm the applicant’s identity with document checks, a live selfie, and face matching.
- ID document verification
- Liveness detection
- Selfie-to-ID matching
Different analysts apply different standards, and portfolio risk compounds.
Off-the-shelf scores miss the signals that actually predict repayment in your portfolio.
Your underwriting logic never learns from the outcomes you generate.
Scaling volume means more analysts or lower-quality decisions.
Pulls statements, GLs, and bank data into a normalized period-over-period spread. DSCR, margin, debt service, trend, all computed in one pass.
Picks up what the spread alone won't tell you: concentration risk, moving margins, what a late filing implies.
Every file is held against your encoded credit policy, and anything outside it is flagged, never waved through.
The memo a senior analyst would write, every claim cited to its source line, ready for your underwriter to sign.
Verify the borrower. Understand the business. Surface risk before the decision. KYC, KYB, and AML checks, connected to your underwriting file.
Confirm the applicant’s identity with document checks, a live selfie, and face matching.
Check company records and understand the ownership structure behind every business borrower.
Screen applicants and owners for potential matches that need your team’s attention.
Verification summary · Illustrative file
Verde Logística S.A. de C.V.
KYC · Applicant
Identity verified
KYB · Business
Ownership checked
AML · Screening
Potential match to review
Findings and supporting evidence stay with the file. Your team makes the decision.
Every figure links to the document line that produced it.
Your thresholds and required checks, encoded once, applied always.
Every repayment and default sharpens the next recommendation.
The AI drafts and explains. A human makes every decision.
API-first. Integrates into your existing LOS, credit engine, or custom workflow.