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.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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