Diagnostic AI continuously analyzes vehicle condition across your fleet, identifying emerging faults early enough to prioritize intervention and prevent avoidable breakdowns






Vehicle conditions change continuously. Diagnostic AI monitors those changes over time, identifying developing faults while there’s still time to plan maintenance instead of responding to failure.
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Every developing issue becomes a condition report, bringing together the diagnosis, supporting evidence, engineering reasoning, and recommended action before the vehicle reaches the workshop.
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At one operating entity, Stratio identified six high-voltage battery packs degrading against the fleet baseline while they were still under warranty.
The workshop replaced every pack before the warranty period expired, avoiding unnecessary replacement costs and protecting the operator’s investment.
The same Diagnostic AI that detects emerging engine faults also identifies battery degradation before replacement becomes necessary.

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We adopted Stratio in 2020 to test whether failure prediction was real. The results speak for themselves: cost per km decreased, time between failures went up, and what began as a pilot in the Prague region is now a standard we keep expanding.


The Stratio Platform enables real-time fault detection and predictions for our buses. This allows for timely repair recalls with the workshops being alerted before actual breakdowns happen, reducing the occurrence of bus breakdowns in the process.


The Stratio solution, which is already deployed on several Keolis networks in France, allows maintenance staff to view and address vehicle failures. This eliminates costly downtime, enabling us to provide an even more reliable, efficient and safe service for passengers.


Stratio’s technology is enabling us to operate more efficiently, both in the workshop and in day-to-day operations by preventing bus failures and scheduling preventive maintenance at exactly the right time. This helps reduce costs while increasing vehicle availability. All of this translates into higher service quality, minimizing route disruptions and providing a safer and more comfortable driving experience.
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Every bus generates thousands of continuously changing signals. Diagnostic AI monitors how those signals change over time, compares each vehicle against similar vehicles across your fleet, and identifies conditions that are drifting toward failure before a fault code appears.
Many developing faults can be identified days or weeks before conventional diagnostics recognise them. The exact lead time depends on the type of fault and how quickly the condition develops.
Diagnostic AI identifies faults with detectable precursor signals, including air-system leaks, battery degradation, driveline wear, brake wear, charging anomalies, thermal drift, coolant issues, oil-pressure precursors, and electrical-system deterioration.
Yes. Stratio operates across diesel, hybrid, CNG, hydrogen, battery electric, and fuel cell vehicles, giving operators one consistent view across mixed brands and powertrains.
Stratio doesn’t replace your maintenance systems. Every condition report is delivered into your existing CMMS workflow with the diagnosis, supporting evidence, confidence level, and recommended action. Your CMMS remains the system of record.