FaceComm
AI-powered multi-tenant customer security management platform
AI-powered multi-tenant customer security management platform
FaceComm serves hundreds of organisations simultaneously, each with separate camera networks and customer databases. When someone appears on any camera, advanced computer vision captures their face and compares it only against that specific organisation's database. Matches trigger real-time notifications exclusively to users within that organisation — ensuring complete data isolation.
The system handles large-scale deployments where each organisation might have dozens or hundreds of cameras across multiple locations. A retail chain could monitor 500 stores, a security company could watch 200 office buildings, and a restaurant group could track VIP customers across 150 locations — all running simultaneously. Auto-scaling adjusts processing power as cameras are added or removed.
FaceComm eliminates the need for each organisation to build and maintain their own infrastructure. Instead of every company needing servers, databases, and technical teams, they share a robust platform while keeping data completely separate and secure. Advanced face recognition becomes accessible to organisations that couldn't afford to develop it themselves — from single stores to multinational corporations.
Our proprietary 'Scale-on-Demand' architecture fundamentally reimagines resource allocation. Unlike traditional static infrastructures that idle during low-activity periods, our system dynamically instantiates and terminates individual frame processors in real-time response to active telemetry. This achieves seamless surges to 50,000 simultaneous feeds without the astronomical cloud waste typically associated with enterprise-grade facial recognition — turning high-cost compute burden into high-margin, hyper-scalable PaaS.
Transform your security infrastructure with enterprise-grade face recognition