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Identity Verification & Biometrics

Biometric verification systems, age verification, KYC/AML compliance, and document verification for regulated industries.

Age verification, identity proofing, and biometric matching are increasingly required by regulation — and getting them wrong means legal exposure and user friction. We've built production biometric verification systems using multiple ML models, multi-algorithm consensus scoring, and browser-based inference that works on any device without app downloads.

What We Deliver

Biometric Verification Systems

Multi-algorithm face matching using independent verification methods (Dlib, ArcFace, cloud vision APIs) with custom-calibrated scoring thresholds validated through empirical testing. We build for accuracy, not just checkbox compliance.

Age & Identity Verification

Automated age estimation, document verification (MRZ passport parsing, driver's license barcode reading), and multi-stage verification pipelines that comply with regulations across multiple jurisdictions.

Browser-Based ML Inference

Deploy ML models directly in the browser using TensorFlow.js with WebGL, WASM, and WebGPU backends. Users verify without downloading apps, and sensitive biometric data can be processed client-side.

KYC/AML Compliance

Build Know Your Customer and Anti-Money Laundering verification workflows that meet regulatory requirements while minimizing friction for legitimate users.

Our Process

1

Requirements Mapping

Understand your regulatory requirements across all jurisdictions you operate in.

2

System Design

Design the verification pipeline — which checks to perform, in what order, and what thresholds to use.

3

Build & Calibrate

Implement the verification system, calibrate scoring thresholds, and validate accuracy with real-world testing.

4

Deploy & Monitor

Launch the system with monitoring for accuracy metrics, edge cases, and regulatory changes.

Frequently Asked Questions

How accurate are biometric verification systems?
Accuracy depends on the algorithms and thresholds used. Our multi-algorithm consensus approach — using three independent matching methods — significantly reduces false acceptance rates compared to single-algorithm solutions. We calibrate thresholds empirically, not theoretically.
Can this work on mobile devices?
Yes. Our browser-based approach works on any device with a camera — phones, tablets, desktops. No app download required. We've also built QR-based handoff systems for desktop-to-mobile verification flows.
What jurisdictions do you support?
We've built systems compliant with regulations across 25+ US states and 3 international jurisdictions. Each jurisdiction has different requirements, and our systems handle the complexity of multi-jurisdiction compliance automatically.

Ready to Get Started with Identity Verification & Biometrics?

Let's discuss your specific needs and how we can help.

Schedule a Discovery Call