Nauto’s tech uses a dual-camera windshield-mounted device, with one camera facing inward tracking driver behavior and the other facing outward to monitor the road. The company employs deep learning and computer vision to process the data collected by its units in the cloud, and provide insights and coaching services to counter things like driver distraction and fatigue.

One of the big advantages of Nauto as a stepping stone to autonomy, however, is the cost of deployment — its hardware is relatively inexpensive and can be used immediately with vehicles on the road today, following a simple installation process. One of self-driving’s biggest challenges remains a simple issue of volume, and Nauto is positioned well to help address that because of its low friction, low cost and immediate returned value to fleet operators.