Reimagining surveillance. We are moving beyond passive recording to build intelligent, edge-computing vision systems that actively understand and protect your environment.
"Standard cameras watch the past.
VIGIL secures the present."
CCTV cameras are everywhere, but they are fundamentally forensic tools. They don't prevent incidents; they simply record them for later review. When an intrusion happens, a standard camera blissfully writes gigabytes of footage to a hard drive while the event unfolds unchecked.
Even "smart" cameras today merely rely on basic pixel-shifting motion detection, leading to endless false alarms triggered by swaying trees or passing cars. The human operator is still the bottleneck.
What if a camera had the intelligence to actually understand what it is looking at, and the capability to make decisions based on that data to keep things secure?
We engineered **VIGIL** to flip the paradigm. Instead of streaming endless video to a central server, VIGIL processes reality at the edge. It doesn't just see "motion" - it understands context: a dropped package, an unauthorized vehicle, a slip-and-fall, or an active perimeter breach.
True security isn't just about high-resolution lenses; it's about the speed of response. VIGIL operates on a localized, high-speed cognitive loop.
Dual-lens optics (visual + thermal) combined with a directional microphone array read the environment. VIGIL captures not just light, but acoustic signatures like breaking glass or raised voices.
An edge-AI co-processor runs multiple neural networks simultaneously. It classifies objects, interprets human behavior, and assesses threat levels with sub-second latency, entirely without cloud dependency.
Based on programmable rules of engagement, VIGIL can instantly trigger built-in floodlights, sound custom audio warnings, lock integrated smart doors, or alert rapid response teams.
Sending raw video streams to the cloud for AI analysis introduces latency, wastes bandwidth, and creates massive privacy vulnerabilities. A localized threat requires a localized response.
VIGIL features an integrated neural processing unit (NPU) capable of executing billion-parameter models directly on the device. By decoupling intelligence from the internet connection, VIGIL remains fully operational during network outages. It only transmits highly compressed metadata or targeted alerts unless a verified event requires human review.
Different environments face entirely different types of threats. We developed three distinct form-factors, each running specialized behavioral algorithms tailored for their domains.

The intelligent home exterior guardian.
A discrete, weather-proof outdoor smart camera for residential exteriors. It looks like a standard home security product but features privacy-first local processing, distinguishing between familiar faces, pets, and intruders. It recognizes package deliveries, detects gate or boundary breaches, and can automatically activate deterrents if an unrecognized person approaches late at night.

Industrial-scale outdoor operational oversight.
A robust, traditional outdoor bullet-style CCTV camera designed for warehouse and factory perimeters. Forge doesn't just record the exterior; it enforces safety. Its models are trained to detect perimeter breaches, track unauthorized vehicles in loading bays, identify hazardous materials handling, and monitor forklift traffic in exterior logistics yards.

City-scale outdoor situational awareness.
A standard professional PTZ (Pan-Tilt-Zoom) street-pole camera with advanced on-device intelligence. Engineered for public squares, stadiums, and transportation hubs. Nexus manages macro-environments from a familiar urban form factor, detecting crowd anomalies, identifying abandoned baggage, and integrating directly with emergency services for lightning-fast first response.