City Detect Raises $13M for Blight-Spotting AI
Startup City Detect has raised $13 million to expand its AI-powered platform that helps cities proactively identify and remediate urban blight. The funding will support the company's expansion into more American cities, applying AI to civic infrastructure and quality of life issues.
The Series A funding round was led by Prudence Venture Capital, with participation from Zeal Capital Partners, Knoll Ventures, and Las Olas Venture Capital. This latest investment brings City Detect's total funding to $15 million, following a $2 million seed round in 2024. The new capital is earmarked for hiring more AI engineers and expanding the platform's storm damage detection capabilities. Founded in 2021 by CEO Gavin Baum-Blake, a veteran and attorney, and CTO Dr. Erik Johnson, a Ph.D. in urban economics, the Tuscaloosa, Alabama-based startup emerged from research at the University of Alabama. The company's mission is to shift cities from a reactive, complaint-based model of code enforcement to a proactive, data-driven one. City Detect's platform, PASS AI™, uses computer vision models to analyze street-level imagery captured by cameras mounted on municipal vehicles like garbage trucks and street sweepers. This approach allows the system to scan thousands of properties weekly for over 100 indicators of blight, such as graffiti, illegal dumping, and structural decay—a significant increase from the roughly 50 properties a manual inspector can process in the same timeframe. To address privacy concerns, the system automatically blurs faces and license plates from the imagery it collects. The AI is sophisticated enough to differentiate between commissioned street art and vandalism. City Detect is SOC 2 Type II compliant and a member of the GovAI Coalition, which focuses on the responsible use of AI in the public sector. The technology is already deployed in at least 17 municipalities, including large cities like Dallas and Miami, and has shown tangible results. For example, in Stockton, California, the system identified over 4,000 code violations in a single week. After Hurricane Helene, Greenville, South Carolina, used the platform to scan 5,000 parcels in just three days to generate reports for FEMA.
