Predictive fleet maintenance platform for transportation operators
Stratio operates a real-time predictive maintenance platform targeting large transportation operators globally. The tech stack is heavy on data infrastructure (Kafka, Spark, Flink, Iceberg, Trino) and ML systems, with .NET/C# backend and AWS hosting — typical of a mature, production-scale analytics company serving mission-critical downtime scenarios. Current hiring is skewed toward support (3 roles) alongside core engineering and data teams, suggesting both product scaling and customer-success pressures as they pursue larger strategic deals.
Stratio builds a predictive maintenance platform for fleet operators, processing real-time vehicle telemetry to forecast breakdowns before they occur. The company operates globally, with customers across Europe, North America, Asia-Pacific, and Latin America; five of the world's ten largest transportation companies rely on the platform. The product sits in the critical path of public transit and logistics operations, where maintenance failures cascade into service delays and lost revenue. Stratio was founded in 2017 and is headquartered in Lisbon.
Stratio's platform runs on Kafka and Apache Flink for real-time streaming, Spark and Trino for large-scale data processing, Iceberg for data lakehouse storage, and .NET/C# with SQL Server for backend services, deployed on AWS and orchestrated with Kubernetes.
Stratio is focused on adoption of its predictive maintenance solution among enterprise customers, scaling platform reliability, building enterprise-grade revenue models, and winning large strategic deals with longer renewal timelines.
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