Relativix is a two-sided vehicle intelligence platform that connects fleet operators and repair shops through shared, high-resolution diagnostic data. The platform continuously collects detailed vehicle data directly from internal CAN networks and applies predictive analytics to deliver clear, evidence-based root-cause insights before a vehicle arrives at the shop. Built as a hardware-enabled, cloud-native platform designed for modern integrations and agentic AI workflows, Relativix helps repair shops work faster and smarter while enabling fleets to reduce downtime, lower maintenance costs, and keep vehicles on the road.
Fleet operators and repair shops rely on basic point-in-time error codes that lead to diagnostic guesswork, longer repair cycles, and reduced technician throughput. This results in increased vehicle downtime and higher maintenance costs for fleets.
Relativix continuously collects high-resolution vehicle data from CAN networks and applies predictive analytics to deliver evidence-based root-cause insights before a vehicle reaches the shop, giving repair teams full historical context and eliminating diagnostic guesswork.
Early-stage company with approximately 4 employees, headquartered in Leander, Texas.
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