FinTech Identity Verification AI / Machine Learning

Building Idova: An AI-Powered KYC & AML Platform That Verifies Identities in 8.2 Seconds

Client

Idova

Industry

FinTech / Compliance / RegTech

Engagement

AI Platform Engineering & Compliance API Development

Website

idova.id

8.2s

Average Verification Decision

98%

Biometric Face Match Accuracy

60%

KYC Cost Reduction

40+

Countries Supported

One platform for KYC, AML, and biometric identity verification

Idova is a compliance technology platform that streamlines the entire customer identity verification workflow for fintech companies, financial institutions, and regulated platforms. It combines AI-powered document verification, global AML and sanctions screening, biometric face matching with liveness detection, and an automated decision engine into a single developer-friendly API — enabling businesses to onboard compliant customers in under 10 seconds.

Techxil was responsible for engineering the full platform — the AI/ML verification pipeline, AML screening integrations, applicant-facing mobile capture portal, backend API infrastructure, and the developer platform with sandbox and production environments. Based in Mississauga, Ontario, Idova now serves fintech clients across 40+ countries.

KYC compliance was expensive, slow, and fragmented

For fintech companies and financial institutions, customer identity verification is a non-negotiable regulatory requirement — but the existing solutions on the market forced a painful choice: enterprise-tier platforms with six-figure licensing costs, or DIY integrations stitching together three to five separate vendors for documents, biometrics, AML data, and decision logging.

Manual KYC processes routinely took 24–72 hours per applicant, creating customer acquisition bottlenecks and poor onboarding experiences. Compliance teams faced increasing regulatory pressure for documented, audit-ready decision trails that legacy manual processes simply could not provide.

  • KYC decisions taking 24–72 hours, blocking customer acquisition

    Manual review queues created bottlenecks that slowed new customer onboarding to a crawl. Applicants abandoned sign-up flows due to delays, directly impacting revenue for fintech clients.

  • Fragmented toolset: separate vendors for documents, biometrics, and AML

    Managing multiple vendor contracts, integrations, and reconciling conflicting decision outputs across document scanning, face matching, and sanctions screening tools created operational complexity and data inconsistency.

  • No audit-ready decision trail for regulatory compliance

    Regulators require documented evidence of every identity verification decision and AML screening result. Manual processes left compliance teams scrambling during audits, with no structured record of what was checked, when, and why a decision was made.

  • Poor applicant experience on existing verification flows

    Existing KYC tools required app installation, multiple page reloads, and confusing instructions — creating high drop-off rates precisely at the most critical moment in the customer acquisition funnel.

An AI-first verification platform built for developer integration

Techxil engineered Idova as a fully integrated compliance platform — combining AI document analysis, biometric matching, global database screening, and a transparent decision engine into a single REST API. Businesses can integrate complete KYC/AML compliance in an afternoon, with no separate vendor relationships to manage.

Computer vision models read and validate passports, national IDs, and driving licences across 40+ countries. MRZ checksum validation catches data extraction errors instantly. Tampering detection algorithms identify document manipulation including font inconsistencies, digital alterations, and copy-paste artefacts — with no human review required for the majority of submissions.

Every applicant is screened in real time against comprehensive global databases: OFAC, EU, UN, and national sanctions lists, Politically Exposed Persons (PEP) registries, and adverse media sources. Fuzzy name matching handles transliterations and spelling variations. Results include risk scoring, match reasoning, and source citations — fully audit-ready.

A 98% accuracy biometric model matches the applicant's live selfie to the photo on their identity document. 3D liveness detection prevents spoofing with printed photos or screen replays — a critical defence against identity fraud. The entire capture-to-match cycle completes in under two seconds.

Configurable risk rules route each verification to an automated approval, rejection, or manual review queue with full transparent reasoning. Every decision is logged with timestamps, evidence references, and rule triggers — creating an immutable compliance audit trail that satisfies regulatory reporting requirements without additional manual documentation.

Applicants receive a branded secure link that opens directly in their mobile browser — no app installation required. The guided capture flow provides real-time feedback on document and selfie quality before submission, dramatically reducing re-submission rates. The portal is fully customisable with the client's brand identity.

A clean, thoroughly documented REST API with signed webhooks enables server-side verification status updates without polling. Full sandbox and production environments allow development and testing without real applicant data. The first integration can be completed in approximately one afternoon — one of Idova's key selling points.

Instant, accurate, audit-ready identity verification at scale

The Idova platform transformed customer onboarding from a days-long compliance burden into a sub-10-second automated process — while delivering stronger compliance assurance than manual verification could ever provide.

  • 8.2-second average verification decision — from days to seconds

    The automated pipeline processes document validation, AML screening, and biometric matching in parallel, delivering a complete verification decision in under 10 seconds. Customer onboarding that previously took 24–72 hours now completes instantly for the majority of applicants.

  • 98% biometric face match accuracy with liveness detection

    The AI-powered face matching model achieves 98% accuracy across diverse document types and lighting conditions. Liveness detection prevents identity spoofing attacks, giving Idova's clients a stronger fraud prevention posture than manual review processes.

  • 60% reduction in KYC operational costs

    Automating the majority of verification decisions eliminated the compliance analyst headcount and overhead previously required for manual review. Clients report 60% lower cost-per-verification compared to their previous processes.

  • Integration completed in one afternoon by first client

    The clean REST API design, comprehensive documentation, and sandbox environment enabled Idova's first enterprise client to complete a full integration in approximately one afternoon — validating the developer experience as a key competitive advantage.

  • Full regulatory audit trail — compliance reviews completed without manual reconstruction

    Every verification decision is immutably logged with supporting evidence, rule triggers, and timestamps. Clients have successfully passed regulatory compliance audits using Idova's automatically generated audit documentation — with zero manual reconstruction required.

Tools & technologies used

Python TensorFlow OpenCV Node.js React PostgreSQL AWS Rekognition AWS Lambda REST API WebSockets Redis
"The platform TechXil built for Idova is genuinely world-class. Our clients can verify a customer's identity — document, biometrics, AML screening — in under 10 seconds. The REST API is so clean that our first enterprise integration was completed in an afternoon. That says everything about the engineering quality."
ID

Chief Executive Officer

Idova — idova.id

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