AI-driven detection that identifies behavioral escalation signals before they become incidents.
Edge-processed. Privacy-first. The missing layer in safety infrastructure.
The Problem
Escalation leaves signals. Current safety infrastructure doesn't detect them.
Current systems detect threats only after escalation has begun. By the time an alert triggers, the critical intervention window has closed.
Monitoring starts indoors — but escalation signals appear outside, at the perimeter, before entry. The most critical zone goes unwatched.
Alert systems, screening tools, and physical hardening exist in silos. No layer connects upstream behavioral signals to downstream response.
Signals existed before every major incident. Detection must move upstream.
Platform
A learnable intelligence layer at the perimeter. Multi-modal detection, adaptive deployment, privacy-first processing.
Fuses computer vision, pose estimation, and behavioral analytics to identify escalation signals at the perimeter — movement under load, posture anomalies, behavioral patterns.
Reinforcement learning optimizes sensor placement for each site’s unique geometry. Maximum coverage, minimum hardware, zero manual calibration.
All inference runs on-site with no cloud dependency. No data leaves the premises. Privacy-first architecture eliminates compliance barriers.
Market
Early detection is an urban-scale need. Wherever people gather, a perimeter exists — and it’s currently unwatched.
130,000+ K–12 campuses with perimeters that currently go unmonitored.
Houses of worship facing rising threats with open, vulnerable perimeters.
Festivals, parades, and open gatherings with dynamic, hard-to-secure boundaries.
Transit hubs, government buildings, and hospitals with complex perimeter needs.
Preventive Intelligence — A New Category
Existing layers react to escalation. PraeVision moves detection upstream — strengthening every other safety layer.
Team
Domain expertise across AI, engineering, and field operations.
Founder / CEO
Building deployable AI systems
PhD in Engineering
MS Computer Science — Interactive Intelligence
Advisor
Operational insight across detection and response
Escalation dynamics and field workflows
Real-world deployment validation
Careers
We are looking for thoughtful builders across AI, sensing, simulation, and deployment.
If your work fits careful systems design, edge intelligence, and privacy-conscious deployment, we would like to hear from you.