A device on the vehicle reads the bus and captures operational data at the source.
Predictive vehicle maintenance
for the Physical AI era
{Edge Computing}
We predict failure modes in fleet vehicles by fusing multiple sensor streams.
Service providers get a 360° view of diagnostics, history, and root cause, so the repair is right the first time.
A two-sided platform for vehicle health
Relativix connects fleet operators and repair shops through a shared vehicle intelligence platform.
Fleet operators
Fleets gain proactive visibility into vehicle health, early warnings of failures, and seamless coordination with shops that already understand the issue before service begins.
Repair shops
Repair shops gain access to rich historical diagnostics, behavioral patterns, and AI-driven predictions that allow them to plan repairs in advance, reduce turnaround time, and increase shop throughput.
This shared intelligence turns reactive maintenance into
evidence-based repair.
One intelligence layer.
Two operating environments.
The intelligence layer built for commercial fleets extends to defense platforms, industrial machines, satellites, and autonomous systems. Physical intelligence where machines must keep working.
Defense
Built for the mission environment. Apply the same core to tactical fleets with disconnected operation, legacy vehicle-bus integration, and mission-focused readiness.
Defense inquiriesCommercial
Validated in daily fleet operations. School buses and commercial fleets continuously exercise vehicle data, edge intelligence, and maintenance workflows.
Explore commercial