CFD-calibrated aeroacoustics, ride comfort analytics, and Agentic AI maintenance models for rolling stock and infrastructure.
Engineering-first scenarios with measurable outcomes and clear data prerequisites.
CFD-backed acoustic models to reduce exterior/interior noise at speed, improve tunnel entry/exit pressure comfort.
Vibration and thermal comfort models tuned with sensor data to meet standards while optimizing HVAC duty cycles.
Remaining Useful Life predictions for bogies, doors, brakes, and pantographs with explainable failure modes.
Define KPIs, assets, and regulatory constraints. Validate Engineering & Operational Data readiness.
Calibrate CFD and ML models with historical runs and targeted experiments.
Run controlled pilots with full audit trails and explainable outputs (XAI) for trust.
Scale & Handover: Productionize with MLOps, training, and documentation for engineers & operators.
Reliability and comfort, measured and verified.
Commuter line retrofit: comfort, acoustics, and reliability gains with explainable models.
Share your scope and datasets. We’ll respond with a plan and data prerequisites.
Resources: Case Studies · Technical Reports · Sovereign Industrial Cloud Guides