Viaduct provides an end-to-end machine learning platform to empower automakers to make safe, reliable, and personalized vehicles.
Viaduct’s cloud platform derives actionable insights from connected vehicle data to power applications, such as predictive maintenance, driver identification, and driver safety scores. Deployed in the vehicle, Viaduct’s machine learning solutions intelligently compress and enhance vehicle data to allow the richest data to be transmitted to the cloud in the fewest bytes.
Why Work With Us
We’re a team of technologists, researchers, and machine learning experts solving the hardest problems in the automotive ecosystem.
Founder and CEO
David is the Founder and CEO of Viaduct. His background is in large-scale optimization for time series sensor data. David received his PhD in Electrical Engineering from Stanford University, where he focused on developing mathematical models for finding patterns in temporal data, and his open-source software has been directly used by companies including Volkswagen, Boeing, and Bosch. Prior to Stanford, David received his B.S. in Electrical Engineering from the University of Pennsylvania.