What does Veridexa do?

Veridexa is an enterprise AI platform that verifies documents and detects fraud in identities, invoices, and KYC files using forensic analysis, OCR, and machine learning.

How does Veridexa protect data?

Documents are processed with encryption in transit and at rest on secure cloud infrastructure, with regional data residency options in EU, US, and APAC.

Banks, insurers, fintechs, and marketplaces use Veridexa to automate KYC, catch document forgery, and reduce manual review.

Iris Verification

biometric-core iris 1:1 engine with provider contract.

Roadmap

Verify Iris View API Documentation

Runs against the biometric-core iris engine (mock adapter until a certified provider is registered).

Engine

src/lib/verification/biometric-core/iris (mock adapter — ready for provider)

API

POST /api/public/biometrics/v1/enroll · /compare

Roadmap service — not part of the Veridexa launch

Iris Verification is on the Veridexa roadmap. It is not offered commercially today: no certified engine, hardware, or trust anchors are integrated, and nothing on this page should be read as an available production capability. The contracts, storage schema, and API surface documented below exist so a certified provider can be integrated later without call-site changes. Mock adapters are used for tests only and never produce verification evidence.

Live Veridexa services today: Document Fraud Detection, Face Verification, and Biometric Portrait Consistency.

The iris engine implements enrolment, 1:1 verification, quality metrics and audit against the shared biometric-core contract. A mock provider satisfies the interface for testing; a certified iris SDK swaps in without breaking callers.

What is implemented

Engine, types and mock adapter
Modality registered in the core registry
Wired through /enroll and /compare

Modules

src/lib/verification/biometric-core/iris/
  engine.ts
  types.ts
  mock-adapter.ts
src/lib/verification/biometric-core/providers/mock-iris.ts

Biometric APIs SDK Back to overview