Asphalt paving is in my blood. I’m a third-generation construction guy. I’ve always loved building things, fixing things, and problem-solving. After getting a construction engineering degree, I pursued more of the designing, but I eventually went back to construction because I missed the field and the work itself. For years, however, I saw a persistent problem in the industry that could be solved with technology—one that was costing companies a fortune.
Ninety-four percent of the roads we drive on in the United States are asphalt, and building them involves a lot of compliance details that require real-time data. For decades, this has been a manual, pen-and-paper process with very little transparency. The breaking point for me came when I calculated that our company had lost a million dollars in a single year, just from not having the data when it mattered most—like knowing the right time to pave and how to adjust rolling patterns based on temperature and weather.
That’s why Pavewise was born. In short, we eliminate pen and paper; the phone handles the documentation needed. A worker in the field simply takes a picture of a quality gauge, and our AI analyzes the image, reads the results and formats the data correctly.
We use Google’s cloud ecosystem for this entire process, from image processing to text extraction to secure asset storage. Google Maps creates a digital interactive footprint with a timestamp and a geolocation on each gauge reading, giving a project manager in the office full transparency into how crews are performing in real-time.