Side-by-side comparison of AI visibility scores, market position, and capabilities
Herndon VA. AI-powered gun detection and threat response platform for schools, universities, and public venues using computer vision for automated threat alerts.
Omnilert is a Herndon, Virginia-based physical security technology company that provides an AI-powered gun detection platform designed for schools, universities, hospitals, and public venues. The company's core product uses computer vision models applied to existing security camera feeds to automatically detect the presence of firearms and trigger immediate alerts to security staff and law enforcement before a shooter has a chance to act.\n\nOmnilert's AI platform processes video feeds in real time, identifying firearm shapes with high accuracy and low false-positive rates. When a weapon is detected, the system simultaneously notifies on-site security personnel via mobile alert, contacts local law enforcement with location and camera feeds, and can trigger automated lockdown procedures integrated with building security systems. The platform is designed to integrate with existing camera infrastructure, avoiding the need for hardware replacement.\n\nOmnilert targets K-12 school districts, higher education campuses, hospitals, places of worship, and government facilities that face active shooter threat concerns. It competes with Actuate AI, ZeroEyes, and traditional video surveillance analytics vendors. Omnilert differentiates through the speed of its detection-to-notification workflow, its integration with emergency communication systems, and its focus on the K-12 and higher education market where active shooter preparedness has become a critical compliance and community concern.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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