
COMPREDICT turns existing onboard vehicle signals into actionable health, usage, and component-behavior insights to enable hardware sensor replacement and predictive maintenance. It delivers…

COMPREDICT turns existing onboard vehicle signals into actionable health, usage, and component-behavior insights to enable hardware sensor replacement and predictive maintenance. It delivers…
What they do: AI-driven virtual sensors and vehicle health & usage monitoring from existing onboard signals
Customers / targets: Automotive OEMs, Tier‑1 suppliers and fleet operators
HQ: Darmstadt, Germany
Recent funding: $15M Series B led by Woven Capital
Vehicle diagnostics, predictive maintenance, testing and fleet management
2016
IT Services and IT Consulting
$15,000,000
Participation from Shift4Good and other investors
“Backed by corporate / strategic investor (Woven Capital) and mission-aligned investors (Shift4Good)”
Your mission
Over the past few years, we’ve been developing virtual sensor technologies that focus on replacing or complementing physical sensors in automotive chassis systems, particularly in the areas of tires and suspension. By leveraging signal processing, data-driven modeling, and basic AI techniques, we help automotive companies reduce hardware dependency while enabling new functions such as vehicle condition monitoring and load estimation.
With the increasing shift toward Software Defined Vehicles and broader access to vehicle data, exciting opportunities have emerged in chassis modeling and advanced analytics. We're looking for a Function Owner who is eager to work with vehicle dynamics data—especially from tires and suspension systems—and contribute to the development of the next generation of virtual sensor solutions.
Your Responsibilities
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