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Cyvl is a physical artificial intelligence company that builds purpose-built sensors, computer vision, and artificial intelligence to help cities and towns manage public infrastructure. The company equips city vehicles with LiDAR and 360-degree cameras to capture streets, sidewalks, and assets, turning each drive into current data that maps what exists and assesses its condition. Over 500 cities and towns use Cyvl's Infrastructure Intelligence Platform to prioritize repairs, plan budgets, and direct public works. The company's technology connects sensor insights with city records such as 311 reports, permits, and work history to provide a shared view for municipal teams.

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About cyvl

Cyvl is a physical artificial intelligence company that builds purpose-built sensors, computer vision, and artificial intelligence to help cities and towns manage public infrastructure. The company equips city vehicles with LiDAR and 360-degree cameras to capture streets, sidewalks, and assets, turning each drive into current data that maps what exists and assesses its condition. Over 500 cities and towns use Cyvl's Infrastructure Intelligence Platform to prioritize repairs, plan budgets, and direct public works. The company's technology connects sensor insights with city records such as 311 reports, permits, and work history to provide a shared view for municipal teams.

Cyvl serves hundreds of cities and thousands of residents, with data managing roads for a significant portion of Americans. The company builds hardware, software, and AI systems designed for real-world applications in public infrastructure. Its engineering efforts focus on computer vision models that detect and assess assets, as well as LLM-powered agents and tools that enable customers to query physical world data.

The open roles at Cyvl indicate a growing engineering team based primarily in the Boston area, with positions including an AI Engineer in Somerville, Massachusetts, or remote from San Francisco, California, and a Software Engineering Intern focused on SWE and machine learning for Summer 2027 based in Boston. The open positions reflect a need for technical seniority ranging from experienced professionals with multiple years of production machine learning experience to university students pursuing degrees in computer science or software engineering.

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