Stop Relying on Your Staff's Memory to Ensure Security
If you manage an organisation with multiple (potentially thousands of) locations, you are currently betting your security and customer experience on a single, unreliable factor: human memory.
Even the best receptionist or security guard cannot remember every VIP or every barred individual—especially if that person has only ever visited your branch across town, or one three countries away.
The "Security Footage" Trap
When an incident happens, the process is almost always reactive. Security teams spend an eternity scrubbing through thousands of hours of grainy footage to answer two simple questions: Who was that, and when have they been here before?
By the time you have the answer, the person is long gone.
Enter FaceComm: The Multi-Tenant Memory for Your Business
I built FaceComm to turn passive "blind" cameras into an intelligent, proactive security network. It is a multi-tenant AI platform that acts as a collective memory for your entire organisation, whether you have one location or five thousand.
Here is how I am changing the game:
1. Real-Time Recognition (The "Forward" Match) The moment a face appears on any camera in your network, FaceComm compares it against your specific database. If there is a match, your staff gets a notification on their device instantly. No more "I think I have seen them before"—the system tells you exactly who they are the second they walk in.
2. Closing the Loop (The "Backward" Match) Security is not just about the future; it is about the past. If you identify a person of interest today and add them to your system, FaceComm automatically cross-references their photo against every "unknown" face your cameras have captured in the past. You instantly see their entire history with your organisation.
3. Enterprise Power, Zero Infrastructure Typically, this level of tech requires a massive investment in servers, GPUs, and technical teams. I have built FaceComm as a PaaS (Platform as a Service). You do not need to build or maintain anything. You plug your existing camera feeds into my cloud, and I handle the rest. Your data remains completely isolated and secure within your own private "tenant."
4. Why it is finally affordable The reason most companies have not adopted this is the cost of compute power. To solve this, I developed proprietary elastic container logic.
Instead of paying for 24/7 processing on every camera, my system only "wakes up" and uses compute power when there is actually a face to process. This "Scale-on-Demand" approach allows me to support up to 50,000 feeds simultaneously while keeping costs low enough for businesses of any size.
The $600 Billion Problem
The global market for security and customer recognition is estimated at $600 billion (£450 billion), but the tools have been too expensive and too hard to manage—until now. I am making it possible to secure your business and recognise your customers with the same precision as a tech giant, without the tech giant’s budget.
