AegisGates Vision AI's answer

AegisGate converts ordinary CCTV into a plain‑English, always‑on assistant that narrates events, not just motion. It combines low‑false‑positive event filtering, quick setup with existing cameras, privacy‑first data handling, and affordable per‑camera pricing—delivering actionable alerts and readable summaries for nontechnical users in real time.

AegisGates Vision AI's answer

Choose AegisGate for fewer noisy alerts, readable narratives, and fast real‑world ROI. It works with existing cameras via a lightweight Bridge, protects privacy with secure transport, and prioritizes practicality over academic demos—so teams save time, reduce false alarms, and get useful, immediate insights without costly hardware changes.

AegisGates Vision AI's answer

Primary users are property managers, childcare centers, small businesses, and homeowners who need reliable, low‑maintenance monitoring. IT teams and non‑technical staff alike value plain‑English alerts and quick setup. It also fits multi‑site operators who need scalable, affordable camera coverage with centralized alerts and easy evidence retrieval.

AegisGates Vision AI's answer

Built from real deployments, AegisGate began when operators grew tired of hours of footage and noisy alerts. We designed a practical system to narrate events in plain language, tuned for childcare and property scenarios, then iterated with pilot sites—prioritizing usability, privacy, and low operational cost from day one.

AegisGates Vision AI's answer

Our early adopters are small commercial and institutional operators: childcare centers, boutique property managers, and multi‑site small businesses piloting smarter monitoring. We currently serve active paying pilot customers and partner sites that rely on AegisGate for daily operational alerts and evidence collection.

AegisGates Vision AI's answer

AegisGate uses modern computer‑vision and language models to detect and describe events, an optional local “Bridge” for RTSP cameras, and a secure cloud backend for inference and alerts. The stack uses Python backend services, a PostgreSQL datastore, HTTPS, web dashboard UI, and integrations for email/SMS and payments.