Side-by-side comparison of AI visibility scores, market position, and capabilities
New York NY. Raised $210M+. Cloud-native public safety software for police records management (RMS) and computer-aided dispatch (CAD) for law enforcement agencies.
Mark43 is a New York-based public safety software company founded in 2012 that has raised over $210M in funding. The company provides cloud-native records management systems (RMS) and computer-aided dispatch (CAD) software to law enforcement agencies, replacing decades-old on-premise systems with modern, cloud-based infrastructure designed for the speed and reliability demands of public safety operations.\n\nMark43's RMS platform manages the full records lifecycle for law enforcement: incident reports, arrest records, evidence tracking, use-of-force reporting, and warrant management. The CAD system manages real-time dispatch of police, fire, and EMS units, providing dispatchers with a unified operational picture. The platform is built on a cloud architecture that allows agencies to access real-time data across jurisdictions, supports federal NIBRS reporting compliance, and provides analytics for crime analysis and resource planning.\n\nMark43 targets mid-size to large municipal police departments, county sheriffs, and state police agencies looking to modernize from legacy on-premise RMS/CAD systems such as those from Motorola, CentralSquare, and Axon. The company differentiates through its cloud-native architecture that enables faster updates, better data sharing between agencies, and lower infrastructure costs than traditional on-premise public safety systems. Raised funding from investors including Tiger Global and Spark Capital.
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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