When it comes to preserving profit margins, data scientists for vehicle and parts manufacturers are sitting in the driver’s seat.
Viaduct, which develops models for time-series inference, is helping enterprises harvest failure insights from the data captured on today’s connected cars. It does so by tapping into sensor data and making correlations.
The four-year-old startup, based in Menlo Park, Calif., offers a platform to detect anomalous patterns, track issues, and deploy failure predictions. This enables automakers and parts suppliers to get in front of problems with real-time data to reduce warranty claims, recalls and defects, said David Hallac, the founder and CEO of Viaduct.
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