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KYC, eKYC & AML Intelligence·Compliance & RegTech

Fast Biometric Identification (1:N Matching)

A face against millions of identities, in milliseconds.

The system compares a face against a large identity database in milliseconds and confirms identity with high accuracy. Deep-learning embeddings keep results consistent, and a scalable architecture lets the database grow without losing performance — with straightforward APIs for security and access-management systems.

Fast Biometric Identification (1:N Matching)
01

Key advantages

  • 01Instant identification across massive databases
  • 02High accuracy with consistent biometric results
  • 03Scalable performance for large deployments
02

Main features

  • Millisecond-level 1:N facial matching
  • Deep-learning biometric embeddings
  • Scalable architecture with easy API integration
03

Use cases

  • National or enterprise identity systems
  • Access control and surveillance platforms
  • Law enforcement and public safety

How we deliver

From the first workshop to production.

  1. 01

    Discovery

    We map your context, data, regulatory constraints and success metrics in a joint workshop.

  2. 02

    Pilot

    A scoped pilot on your real data proves the value and calibrates the models to your environment.

  3. 03

    Deployment

    Production roll-out on-premise or in your private cloud, integrated with your existing systems.

  4. 04

    Support

    Our Doha team monitors, retrains and evolves the solution with you, in your time zone.

Interested in Fast Biometric Identification (1:N Matching)?

Tell us about your context and timeline — an expert from our Doha team will get back to you.