Fleet maintenance across the U.S. commercial vehicle industry is fundamentally reactive. Fleets wait for something to break, then scramble to fix it. With 15 million commercial vehicles on U.S. roads, 8.7 unplanned downtime days per vehicle per year, and a cost of $448 to $760 per day a vehicle is idle, this broken model costs the industry over $17 billion in preventable lost productivity annually. 30% of those breakdowns could have been avoided with earlier intervention.

On the repair side, shops face the same problem in reverse. No predictive data arrives before a vehicle pulls in, so every diagnosis starts from zero. The average diagnostic intake takes 2 to 4 hours, technicians are paid for only 1 to 1.5 of those, and the industry first-time fix rate sits at just 62%. Today, no platform bridges fleet operators and repair shops with the shared intelligence needed to prevent breakdowns before they happen.

5+ active pilot discussions underway with logistics, transit, and municipal fleet operators, with LOIs in progress. Repair shop workflow validated with service operators. Hardware prototype complete with a certified manufacturing partner secured (P3 Acclivis). Core product built including web application, operational data pipeline, and ML prediction models. Accepted into NVIDIA Inception Program, AWS Startup Program, Databricks Startup Program, Founder University (Cohort 9), and Capital Factory All Access.