EdTech

<b>What we do</b><br><br> Human error in construction costs the world about $3 Trillion/yr and is largely responsible for over 50% of construction projects running over schedule. <br><br> Using 3D computer vision and deep learning, our software turns off the shelf sensors into error detection tools for construction projects - giving project managers superhuman powers to spot critical issues that they otherwise couldn't. <br><br> This significantly reduces costs, and more importantly reduces the risk of a project running over schedule.<br><br> <b>Who we are</b> <br><br> We're a team of geeks from Stanford and UMich who are passionate about applying computer vision to dusty industries that have been neglected by technology.