Viaduct, Inc. applies artificial intelligence to one of industry's most persistent challenges: extracting actionable intelligence from the vast, complex streams of data generated by connected machinery and vehicle fleets. Founded in 2018 and headquartered in Menlo Park, California, the company has developed a platform built on patented AI technology specifically engineered for high-dimensional time series data at massive scale. Its core technical domains span AI, time series analysis, and predictive maintenance.
The platform serves manufacturers and fleet operators across demanding sectors including automotive, trucking, construction equipment, agriculture, and broader industrial applications. By uncovering hidden patterns in operational data, Viaduct enables customers to reduce unplanned downtime, lower warranty costs, and improve overall efficiency - outcomes that translate directly to competitive advantage in capital-intensive industries.
The company attracted approximately $104 million in funding through to its acquisition, reflecting the market's recognition of its differentiated approach to connected asset analytics. For engineers and data scientists drawn to applied AI problems with tangible industrial impact, Viaduct represents work at the intersection of advanced machine learning and real-world operational systems.
