Eight named AI agents. Eight specific jobs. One platform.
Your cameras already see everything. Vision Agents turn that footage into named workers — each with a defined workflow, a hardware actuation, and an outcome metric. Add only the agents you need. Start with one. Scale to all eight.
Why agents, not features
Traditional analytics platforms sell features — face recognition, ANPR, fire detection, footfall counting. You buy a feature, your team integrates it, and 6 months later it's a dashboard nobody opens. Agents are different.
Each agent has a defined workflow
Not 'detection + alert'. Detection + decision + hardware action + log + audit pack. The agent owns the whole loop end-to-end.
Each agent has an outcome metric
Shrinkage % reduction. PPE compliance %. Fire pre-traditional lead time. Guard absenteeism reduction. The KPI sits on the agent, not on a dashboard somewhere.
Each agent acts — does not just alert
Hooter triggered. Boom barrier lifted. Door unlocked. PA system fired. Turnstile held. The agent closes the loop with your existing hardware.
Private Offer · 30-day pilot · NDA
Pick one agent. Pilot for 30 days. Then add the others.
Most customers start with the agent that solves their highest-pain category. They add the others within the next 12 months as the value compounds. Quote within 5 working days of discovery.