City Detect, a startup using artificial intelligence and computer vision to help local governments tackle urban decay, just closed a $13 million Series A funding round. The funding, led by Prudence Venture Capital, marks a major win for the company’s mission to modernize how cities monitor and maintain their neighborhoods.

Founded in 2021, City Detect addresses a real problem: cities struggle to keep track of building maintenance, graffiti, illegal dumping, and general urban blight. CEO Gavin Baum-Blake explained that the traditional approach is extremely inefficient. “They’re able to do 50 per week,” he said, referring to human workers tasked with tracking deteriorating buildings. “Whereas we’re able to do thousands per week”.

So how does it work? City Detect mounts cameras on public vehicles like garbage trucks and street sweepers. As these vehicles move through neighborhoods, the cameras capture images of surrounding buildings. The company’s AI then analyzes these photos to identify problems like graffiti, litter, structural damage, and storm damage. Think of it like a smarter, more focused version of Google Maps Street View, but specifically designed to help cities stay on top of maintenance issues.

The tech has some genuinely cool features too. City Detect’s AI can actually distinguish between street art and vandalism, which means city officials won’t waste time responding to legitimate murals. The system also automatically blurs faces and license plates to protect privacy, and it’s built with responsible AI practices in mind. The company even published its own Responsible AI policy to show municipal partners what they’re committing to.

Right now, City Detect operates in at least 17 cities, including Dallas and Miami. The company is SOC 2 Type II compliant (basically a privacy certification) and is part of the GovAI Coalition, which focuses on responsible AI governance for public agencies.

Barum-Blake emphasized the real-world impact his technology is having. “We’re seeing huge efficiency gains across the departments that we work with,” he noted. “We’re seeing more instances of blight being solved without anyone receiving a citation, and we’re seeing tires, litter, and illegal dumping being abated and detected quicker”.

With this new funding, City Detect plans to hire more engineers, improve its storm damage detection technology, and expand across the United States. Other investors in the round included Zeal Capital Partners, Knoll Ventures, and Las Olas Venture Capital. Altogether, the company has raised $15 million to date.

It’s a solid reminder that not all venture-backed AI needs to be flashy or controversial. Sometimes the best applications of machine learning are solving practical problems for local governments trying to keep their cities cleaner and safer.