When Max Keenan joined Y Combinator’s summer 2022 batch, he was working on Aurelian, a company that automated appointment bookings for hair salons. But less than a year later, a conversation with one of his clients led him to a far more significant problem. A nearby school’s carpool line was constantly blocking the parking lot of one of Aurelian’s hair salon clients. The salon owner called the city’s non-emergency line and was put on hold for 45 minutes before reaching a dispatcher. “She called me into her office afterwards, and was like, ‘Max, do you want to help me out?’” Keenan told TechCrunch. When he started to research how municipal non-emergency response call centers work, he discovered that they are often handled by the same people who are answering actual 911 emergencies. Aurelian pivoted to building an AI voice assistant that helps 911 call centers offload non-emergency call volume. The company announced on Wednesday that it raised a $14 million Series A led by NEA. The company’s AI voice agent is designed to triage non-urgent issues like noise complaints, parking violations, and even stolen wallet reports — situations that don’t need an officer’s immediate response or can be handled without dispatching personnel to the scene. Aurelian’s AI is trained to recognize a real emergency and immediately transfer those calls to a human dispatcher, Keenan said. In other situations, the system collects key information and either creates a report for or relays the details directly to the police department for follow-up action. Since launching its AI assistant in May 2024, Aurelian has been deployed at more than a dozen 911 dispatch centers, including those serving Snohomish County, Washington; Chattanooga, Tennessee; and Kalamazoo, Michigan. Techcrunch event San Francisco | October 27-29, 2025 Emergency call centers are adopting Aurelian largely because they are consistently understaffed — a direct result of dispatching being a high-pressure job that ranks among the ...
First seen: 2025-08-27 21:24
Last seen: 2025-08-28 20:30