Automotive & Mobility

Automotive engineering organisations generate more data than any previous generation of engineers has had to manage. Every vehicle programme produces simulation outputs from CFD, FEA, multi-body dynamics, and 1D system models alongside physical test data from component benches, NVH rigs, durability tracks, and end-of-line production systems. The data exists. The problem is that it is siloed, distributed across disconnected tools, formats, and teams, and preparing it for any serious analysis requires engineering time that should be spent on engineering decisions.

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The automotive data challenge

For an OEM or Tier 1 supplier running concurrent development programmes across powertrain, chassis, body, and electrification, the scale of the data problem compounds quickly. A simulation engineer finishing a CFD run cannot easily correlate that result against last quarter's test bench data from a different team. A development engineer preparing a design of experiments study rebuilds the same data preparation pipeline they built on the last programme. A VP of Engineering asking about programme status cannot get a live view across all active validation workflows without someone manually assembling a report.

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The result is that engineering organisations are slower than they should be, more expensive than they need to be, and less able to scale AI initiatives beyond one-off pilots.

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What Key Ward does for automotive engineering teams

Key Ward connects simulation outputs from Ansys, Siemens, Hexagon, and Dassault systems alongside test data from NI LabVIEW, HBK, and production MES systems into a unified, queryable engineering data layer. Engineers stop rebuilding data pipelines from scratch on every programme and start reusing structured workflows that carry forward institutional knowledge, validation logic, KPI definitions, anomaly thresholds, from one programme to the next.

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For simulation-heavy teams, Key Ward trains reduced order models on existing simulation data that predict key performance metrics in seconds without consuming solver licence hours. A Tier 1 supplier running e-motor development reduced simulation and compute costs by 90% and cut RFQ turnaround from 1.5 months to days. For test-heavy teams, Key Ward auto-connects to test rigs and structures data automatically on completion, eliminating the manual post-processing step that typically consumes hours per cycle before any analysis can begin.

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For engineering leadership, Key Ward provides real-time visibility across programmes, dashboards showing latest results, best historic performance, and configuration comparisons, without requiring engineers to prepare manual reports before stakeholders can see the data.

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Automotive use cases

• E-motor thermal management and cooling optimisation.
• Acoustic material selection and NVH performance prediction.
• Root cause analysis connecting plant and field warranty data.
• CFD convergence acceleration for combustion and fluid dynamics programmes.
• Manufacturing scrap reduction through production data analytics.
• Surrogate modeling for design space exploration across large DoE studies.