Biometric
FACE SEARCH · 1:N

Find a face among millions. In seconds.

When a customer passes verification, the system automatically searches their face across your database. Find duplicate accounts, repeat fraudsters and multi-accounts before an account is created.

Start for freeDocumentation
<1 secdatabase search
99%+recognition accuracy
1M+faces in the index
0raw photos stored

Clients who trust us

NurbankOtbasy BankBinancenaimi.kzBank RBKTennisi.kzSun FinanceShinhan FinanceKcellNPCK — National Payment Corporation of Kazakhstan
USE CASES

Search works before fraud becomes a problem.

01 · DEDUPLICATION

Deduplicate at registration

A new user passes verification and their face is automatically searched across every existing account. Multi-accounting stops before it starts.

02 · BLOCKLISTS

Blocklists and watchlists

Add a fraudster to the blocklist once — every future registration attempt with that face is automatically blocked, across every app and every flow.

03 · AUTHENTICATION

Passwordless authentication

The system remembers every verified user. Returning is one selfie instead of a login, password and SMS code. Faster and safer.

HOW IT WORKS

Four steps from verification to result.

01

Verification

The user completes liveness + face match

02

Storage

The face is saved to the gallery as a hashed biometric template

03

1:N search

Every new registration is automatically searched across the entire database

04

Result

Duplicate found → auto-decline or manual review

SECURITY

Biometric data is protected at every step.

Hashed templates

The biometric index holds hashed templates, not raw photos. A database leak gives fraudsters nothing.

AES-256 encryption

Data is encrypted both in transit and at rest.

Local privacy compliance

Compliant with Kazakhstan's personal-data law. For international clients: GDPR-ready.

On-Premise deployment

100% data security

Run in our cloud, or deploy the Face Search module inside your own closed perimeter (On-Premise).

Result: the biometric gallery never leaves your company's perimeter — fully satisfying regulator and bank security requirements.

ISO 27001GDPRNBK requirements
Cloud · SaaSOn-Premise
Your company's perimeter
Face Search module
Customer face gallery
Data never leaves the perimeter
FOR DEVELOPERS

Classic integration for developers

Use ready-made SDKs and APIs when your team wants to assemble the architecture itself.

JS · Webview

Web SDK / Flow Widget

A ready-made JS camera component (widget) for your website or embedded mobile browser (Webview). Fully customizable design to match your brand book.

JavaScriptCustom designWebview
iOS · Android

Mobile SDK

Native libraries for mobile apps. Deep access to the smartphone camera and biometric micro-packet transfer even on weak 3G connections.

SwiftKotlinOffline-ready
Backend

REST API

Direct access to protected 1:N search endpoints for your own server-side logic. Authorization via a private X-API-KEY.

RESTX-API-KEYServer-side
AI · AGENTS

MCP server for AI agents

AI agents connect directly to face search — without writing code. Compatible with Claude, GPT and any MCP client.

MCPClaudeAI agents
face-search — REST API
# Search a face across the person gallery
POST /v1/face/search/
Host: api.biometric.vision
X-API-KEY: sk_live_••••••••••••••
Content-Type: application/json
{ "face_template": "...", "gallery": "customers" }
# → 200 OK
{ "match": true, "similarity": 0.94, "person_id": "cust_84213" }

Numbers and facts

1M+
faces in the index —Search scales to millions of biometric templates without losing speed.
<1 sec
1:N search —A full pass over the customer gallery is faster than a page load.
99%+
recognition accuracy —The face-matching algorithm is verified by the independent NIST FRVT ranking.
0
raw photos stored —The gallery stores only hashed templates — a leak gives fraudsters nothing.