Cyvl.ai Advances Data-Driven Solutions for Transportation Infrastructure

Cyvl.ai, a startup based in the Boston area, has secured a $6 million investment to further its mission of revolutionizing the tracking and maintenance of transportation infrastructure. Founded by Daniel Pelaez, who observed the lack of software tools for monitoring road repairs during his time working at a local public works department, Cyvl.ai aims to introduce a digital layer to infrastructure management.

Using advanced sensors such as lidar, cameras, and other technologies, Cyvl.ai creates digital twins of transportation infrastructure like roads, highways, and sidewalks. By analyzing data collected from these sensors and applying geospatial AI, the startup can identify weaknesses and predict repair events more accurately than traditional methods.

The startup primarily targets civil engineering firms and government agencies responsible for infrastructure maintenance. Recognizing the challenges of selling to municipalities, Cyvl.ai has developed partnerships with external civil engineering firms, leveraging their relationships to communicate the benefits of its technology to government clients.

Despite facing resistance to change from manual processes to digital solutions, Cyvl.ai has seen significant traction, with nearly 200 cities and towns using its software within just 2.5 years of operation. The company has achieved close to $2 million in annual recurring revenue (ARR) and plans to expand its team from 11 to 20 employees by the end of the year.

The $6 million investment round was led by Companyon Ventures, with participation from Argon Ventures, AeroX Ventures, and Alumni Ventures, as well as existing investors MassVentures, Launch Capital, and RiverPark Ventures. With a total funding of $10 million, Cyvl.ai aims to continue its growth trajectory and make transportation infrastructure management more efficient and data-driven.