Cyvl.ai, a Boston-based startup founded by Daniel Pelaez, is poised to transform transportation infrastructure management through innovative data-driven solutions. Inspired by his experience working at a local public works department during his college years, Pelaez identified a glaring gap in software for tracking road repairs and maintenance. This realization catalyzed the inception of Cyvl.ai, aimed at introducing a digital layer to monitor the conditions of transportation infrastructure effectively.

With a core vision to enhance global transportation infrastructure, Cyvl.ai employs cutting-edge sensor technology to create digital twins of infrastructure components like roads, highways, and rail systems. By leveraging lidar, cameras, and sensors combined with advanced data analytics and geospatial AI, the startup identifies weaknesses and predicts repair events with precision. Pelaez emphasizes the significance of providing civil engineering firms and governments with superior data insights, enabling them to make informed decisions in building and maintaining large-scale transportation networks efficiently.

Despite the challenges of selling to governmental entities, Cyvl.ai has devised strategic partnerships with external civil engineering firms to navigate bureaucratic hurdles successfully. With nearly 200 cities and towns already utilizing their software within just 2.5 years of operation, generating substantial annual recurring revenue, the startup's approach is yielding promising results. As Cyvl.ai continues to expand its team and operations, Pelaez underscores the importance of diversity and hard work, drawing from his immigrant background and personal journey. The recent $6 million investment led by Companyon Ventures, alongside other prominent investors, reaffirms the confidence in Cyvl.ai's mission to revolutionize transportation infrastructure management through innovation and data-driven solutions.