Overview
Automotive and mobility companies process data at enormous volume and with strict latency requirements — from connected-vehicle telemetry to production control and dealer management systems. We build data-driven platforms on high-availability infrastructure
with real-time streaming (Kafka)
scalable databases
and container orchestration for demanding workloads. Our data engineering and BI expertise enables real-time dashboards for production KPIs
predictive maintenance models
and enterprise-wide analytics platforms.
Typical challenges
- Real-time processing of large data volumes with low latency
- High-availability infrastructure for production-critical systems
- Event streaming with Kafka for connected-vehicle telemetry
- Predictive maintenance and ML-based anomaly detection
- Enterprise data warehouse and BI for production KPIs
Do these challenges sound familiar? Let’s talk about it.
Schedule a call“Our real-time analytics platform processes production data with sub-100ms latency — Klarnode delivered this on high-availability infrastructure.”
VP Data Engineering — International automotive supplier
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