Relativix

Fleets and repair shops run on point-in-time fault codes. That means diagnostic guesswork, long repair cycles, and vehicles sitting idle. U.S. fleets suffer 69 million breakdowns a year at a cost of $41 to $44 billion, with each down vehicle costing $448 to $760 per day. Detection tools exist, but none connect prediction to the repair that fixes it.

Relativix captures continuous high-resolution CAN data, predicts failures before they happen, and hands the repair shop full history and a root-cause hypothesis before the vehicle arrives. Fleets cut unplanned downtime roughly in half. Shops cut intake time by about 80 percent and take on more work without adding technicians.

Signed letter of intent with U.S. Army Pacific to deploy on 10,000+ ground vehicles, estimated $4.2M annual contract value. Pilot in final approval with Leander ISD Transportation in Texas, 300+ school buses. Additional fleet pilots underway across logistics, transit, and municipal operators. Repair shop workflow validated with service operators. Hardware prototype built with a certified manufacturing partner secured. Portfolio company of Capital Factory; member of AWS Startup Program, NVIDIA Inception, Databricks Startup Program, and Founder University Cohort 9.