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Artificial Intelligence

Face Recognition You Control

Keep biometric data on your infrastructure not in someone else's cloud. Join Fortune 100 companies deploying edge AI that's secure, fast, and works offline.
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The Cloud AI Risk

Sending facial recognition to the cloud creates three critical vulnerabilities:

Security Exposure

 

Biometric data in transit and at rest on external servers. Every transmission is an attack vector.

Escalating Infrastructure Cost

 

Per-transaction fees for data transmission, storage, and compute. Costs scale with usage.

Operational Dependency

 

Internet outage = system failure. Cloud provider downtime = your downtime.

Enigma Face eliminates all three. Process on-device. Deploy once. Control forever.

 

What We Offer

AI Team Augmentation

Production-Ready SDK

 

C++ library optimized for Android, Linux, and embedded systems.

AI Advisory

Multi-Face Detection & Recognition

 

Handle crowds, varied lighting, and challenging conditions in real-time.

Security-First Architecture

Security-First Architecture

 

All processing happens locally. Zero data transmission. Built-in compliance.

Flexible Deployment

Flexible Deployment

 

Deploy on your hardware, in your environment. No cloud dependencies.

 

Results You Can Expect

  • Sub-50ms recognition speed - Real-time performance that doesn't break user experience.
  • Predictable infrastructure costs - Fixed licensing, no per-transaction fees for transmission, storage, or compute.
  • Security by design - Data never leaves your devices, reducing breach exposure.
  • Works offline - Connectivity loss doesn't mean system failure.
  • Complete control - Deploy on your infrastructure, manage your data sovereignty.

Get Started with Face Recognition That Actually Works

We make it easy to begin:
  1. Book a technical demo - See Enigma Face running on your target hardware.
  2. Get your integration plan - Built for your deployment environment and constraints.
  3. Deploy with confidence - Proven SDK trusted by Fortune 100 organisations with mission-critical requirements.

Ready to take control of your biometric data?

Let's show you what's possible when you process face recognition on your infrastructure.
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Proven Deployments

Pool Safety - Automated Adult Supervision Monitoring

 

Challenge

A safety technology company needed to prevent swimming pool accidents by ensuring continuous adult supervision. Their system required real-time face recognition to verify a supervising adult's presence but cloud-based solutions introduced latency, security concerns for home installations, and ongoing API costs that would make the product uneconomical.

Solution

Enigma Face enabled on-device face recognition that detects all people in the pool area and specifically recognizes registered supervising adults. The system creates instant alerts when the registered adult is absent for a specified duration, all processed locally on edge hardware with no cloud dependency or data transmission.

Benefits

  • Real-time supervision monitoring with <50ms recognition speed
  • Complete security, no video streams of families sent to external servers
  • Works offline during internet outages (critical for safety applications)
  • Low licensing costs enabling affordable consumer product pricing
Pool Safety - Automated Adult Supervision Monitoring
Mobile Security - Real-Time Face Recognition on iPhone

Mobile Security - Real-Time Face Recognition on iPhone

 

Challenge

A security solutions provider needed to deploy face detection and recognition capabilities on mobile devices for identity verification but existing solutions required constant cloud connectivity, created security vulnerabilities by transmitting biometric data off-device, and generated ongoing API costs that didn't scale with their business model.

Solution

Enigma Face delivered a complete real-time face detection and recognition pipeline deployed directly on iPhone using ExecuTorch. The system performs multi-face detection and identity verification entirely on-device, with zero data transmission and optional cloud deployment where edge devices aren't available.

Benefits

  • Multi-face detection and recognition running entirely on mobile devices
  • Complete security all biometric processing happens on-device
  • No cloud dependency or recurring API costs
  • Flexible deployment: edge-first with cloud fallback options

Enterprise Access Control - Multi-Site Identity Verification

 

Challenge

Enterprise organisations deploying access control systems across multiple locations needed face recognition that could scale to thousands of entry points but cloud-based solutions created security vulnerabilities at scale, bandwidth bottlenecks, and unpredictable costs for data transmission, storage, and compute that grew with deployment size.

Solution

Enigma Face provides a lightweight SDK that deploys across diverse hardware platforms, from smart doors to enterprise kiosks. The edge-first architecture processes all identity verification locally, with optional cloud API deployment for centralized management where needed.

Benefits

  • Scalable across large deployments with lightweight codebase
  • Ultra-low latency for seamless user experience
  • Predictable costs no per-transaction fees for transmission, storage, or compute
  • Security-focused with on-device processing
Enterprise Access Control - Multi-Site Identity Verification
 

Where Else It Works

Enigma Face is designed for any application where biometric security, data sovereignty, or offline capability matters:
  • Public Safety & Law Enforcement - Person of interest identification in sovereign, air-gapped environments
  • Smart Venues & Retail - VIP recognition and foot traffic analytics, all on-premises
  • Residential IoT - Smart home security without broadcasting family biometrics to vendor clouds
  • Defense & Industrial - Field deployment with complete data sovereignty for classified environments

Trusted by Fortune 100 Companies

Enigma Face is deployed by Fortune 100 companies for production face recognition at scale.

Built by Digica, the AI engineering team trusted by BAE Systems, Meta, and AMD for mission-critical AI systems. 300+ production deployments across defence, technology, and enterprise.

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