City Detect Raises $13M Series A for AI Urban Safety

🔑 Enhanced Key Takeaways

• •City Detect was founded in 2021 in Tuscaloosa, Alabama, by CEO Gavin Baum-Blake, an Army veteran and attorney, and CTO Dr. Erik Johnson, an urban economist with machine learning expertise.[1][2][5][6]
• •The company raised a $2 million seed round led by Las Olas Venture Capital, with participation from Knoll Ventures and Atlanta Seed Company, prior to the Series A.[2][5]
• •PASS AI processes images from vehicle-mounted cameras to detect, map, and analyze over 100 urban elements including litter, illegal dumping, graffiti, and debris in real-time.[1][2][3]
• •Early deployments include Stockton, CA (199,159 images, 39,740 parcels analyzed, 13,852 issues detected) and Cathedral City, CA (12,489 parcels analyzed, 500 courtesy notices sent by Dec 2025).[3]

🛠️ Technical Deep Dive

• •PASS AI (part of The Good AI™) uses computer vision and machine learning to identify and map over 100 urban elements such as code violations, graffiti, litter, illegal dumping, tires, and debris from passive images captured by cameras on city fleet vehicles.[1][2][3]
• •System leverages existing fleet routes for data collection, processing images to generate detailed, actionable reports for code enforcement and strategic planning without additional emissions.[1][3]

🔮 Future ImplicationsAI analysis grounded in cited sources

⏳ Timeline