Enterprise biometric platform

A developer-first platform combining multi-modal biometrics, liveness detection, and auditable governance. Built to integrate quickly and scale predictably.

Core capabilities

• Modalities: Face, voice, and fingerprint with adaptive selection per risk policy.
• Matching engine: High-accuracy template matching with configurable thresholds and watchlists.
• Liveness: Real-time detection guards against presentation attacks with minimal user effort.
• Anti-spoofing: Multi-signal analysis resists masks, photos, and deepfake attempts.

Architecture & scale

• Cloud, on‑prem, or edge: Choose your model; mix as needed with consistent APIs.
• Microservices: Stateless services, autoscaling, and graceful degradation under load.
• Resilience: Multi-AZ failover, rolling updates, and health-checked routing.

Telemetry streams and SIEM exports keep operations observable and audit-ready.

APIs and SDKs

• REST endpoints: Enrollment, verification, identification, consent, audit, and policy management.
• SDK languages: Web, iOS, and Android for rapid embedding of capture and verification flows.
• Webhooks & events: Receive verification results, anomalies, and audit signals in real time.

Clear versioning, sandboxes, and reference implementations accelerate delivery.

Security by default

• Encryption: Data in transit (TLS 1.2+) and at rest (AES-256) with rotation.
• Key management: Customer-managed keys supported; strict role-based access.
• RBAC: Principle of least privilege and scoped tokens for automation.

Data governance & consent

• Consent vault: Timestamped, immutable records of user consent and purposes.
• Retention controls: Policy-driven deletion windows and automatic minimization.
• Audit logs: Signed logs for every decision, exportable for SOC and compliance teams.