Mirlo Sentinel doesn't just detect threats. It anticipates them.
Powered by V-JEPA. Reasoning at machine speed.
Video surveillance has scaled. Threat detection hasn’t.
Existing AI still lacks the speed and reliability real-world security demands.
More cameras mean more chaos. Human operators cannot monitor thousands of streams effectively.
Result: We record crimes. We don't stop them.
V-JEPA Architecture. Not just pixel prediction. A world model that understands physics, causality, and intent.
Read V-JEPA PaperBuilt strictly for physical security. It knows exactly what a forced entry looks like.
JEPA avoids LLM computational overhead. Affordable "Always-on" protection.
Grounded in reality. No mistaking rifles for "reflective panels".
Same scenario. Different architecture.
General models describe. Mirlo detects.
Hyper-optimized for specific threats. Where general models fail, Mirlo succeeds.
Distinguishes between holding an object and brandishing a weapon. Detects masks.
Detects complex motion: climbing, jumping. Differentiates delivery from prowling.
Identifies "Smash and Grab", looting, and aggressive body language sequences.
Detects visible fire/smoke. Ignores weather (fog/rain). Focuses on thermal threats.
Verifies: Forced Open vs Held Open. Eliminates false alarms.
Humans watching screens. Post-incident.
24/7 Perception. SOC becomes adaptive command center.
Semantic Search. Reconstruct incidents in minutes.
Access Control. Threat Analysis. Automated Response.