Finchecker
ID Verification

Approve more users. Without weakening fraud defense.

  • Issuing Banks
  • PSP/ EMI
  • Forex
  • Crypto

Stop losing 15–30% of good customers to rigid KYC. Stop letting fraudsters slip through. Your current IDV is a silent profit killer.

  • Audit‑ready
  • <10 sec IDV check time
  • 190+ countries supported
  • <1 min total decision

Used in real onboarding flows — not sandbox conditions.

You can’t stop fraud and keep good users with single‑step IDV.

Penalties are real: 15–30% of good customers drop off with strict KYC. Fraudsters slip through fast flows — costing millions.

  • Fast → fraud leaks

    Low friction onboarding attracts real users — and synthetic identities.

  • Strict → revenue loss

    Tight rules block 15–30% of genuine customers. Every false reject is direct revenue lost.

  • No system solves both

    Single‑step IDV forces you to choose. Binary pass/fail cannot balance speed and security.

ID verification should not become a conversion bottleneck.

Finchecker combines document verification, passive liveness, device intelligence, and behavioural signals into one explainable decision layer — before fraud becomes loss or good users abandon onboarding.

The difference: Approve more legitimate users while detecting risky behaviour through explainable multi‑signal scoring — not binary pass/fail checks.

Finchecker

  • Multi‑signal decision engine
  • Passive liveness (no head movements)
  • Device + session intelligence
  • Explainable risk scoring
  • Configurable approval thresholds

The usual solution

  • Binary document + selfie checks
  • Active liveness friction
  • High false rejects
  • Black‑box decisions
  • One rigid pass/fail rule
15‑min walkthrough

See your losses.

During the assessment, we simulate your onboarding flow and identify where fraud is leaking and where good users are dropping off.

We show:

  1. Lost users
  2. Missed fraud
  3. Uplift potential

No assumptions. No generic numbers.

Just a personalised assessment — before you commit.

Book a Demo

What IDV includes

  • Capture

    Document + selfie + passive liveness.

  • Verify

    12,000+ docs, 190+ countries. Detects manipulated images, OCR mismatches.

  • Score

    4 signals → risk score.

  • Decide

    Approve / review / reject.

How IDV works in practice

How IDV works in practice

1. Verify your identity — clear photo of your ID, front side first. 2. Capture your face — selfie with passive liveness. No head moves, no smiles. 3. Hold still — real‑time validation, document + face match. 4. Flip the document — back side verification for complete data extraction. 5. Verification submitted — decision in <10 sec. You can close the page.

Estimate your potential impact

Based on last 5 EU PSP clients

Testimonial

+27% approval, −60% manual reviews — no increase in fraud.

Case study available upon request

<10 sec

IDV check time

−60% Manual

review time saved

PSP/ EMI

Challenge

Good users drop during onboarding because rigid IDV flows create friction and false rejects.

Solution

Passive liveness + configurable risk scoring reduce drop‑offs without weakening fraud controls.

Issuing Banks

Challenge

Regulators require explainable decisions, audit trails, and consistent onboarding controls.

Solution

Explainable risk scoring, reason codes, and audit‑ready logs for every verification decision.

Crypto

Challenge

Deepfakes, synthetic identities, and manipulated documents bypass traditional IDV checks.

Solution

Multi‑signal verification combining document, liveness, device, and session signals to detect synthetic fraud.

Stop losing money to outdated IDV — right now

Join PSPs, banks, and crypto platforms that approve more users — without letting the wrong ones in.

Book a Demo

Frequently asked questions

  • Speed?
    Less than 10 seconds for IDV check, less than 1 minute for total decision.

  • False rejects?
    Configurable thresholds plus passive liveness reduce false rejects by up to 60% versus binary IDV.

  • Integration?
    API, SDK, or hosted flow. Live in days, not months.