Industry Leaders Build Reusable Engineering Intelligence
Industry
:
Automotive
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Autoneum reached optimal acoustic performance for an advanced material using structured data and a repeatable workflow
Automotive
Concept
FEV Accelerates CFD Convergence with Reduced Order Modeling
Industrial Manufacturing
Modeling
Carnot transformed its data workflows from manual and fragmented to automated and reusable
Industrial Manufacturing
Validation
A Tier 1 Supplier Reduces E-Motor Development Time with Surrogate Modeling and Structured Engineering Data
Automotive
Modeling
An Automotive OEM Accelerates Root Cause Analysis with Structured Plant and Field Data
Automotive
Post-Launch
Beyond Aero Accelerates Aerodynamic Design for Next-Generation Aircraft
Aerospace
Modeling
A Tier 1 Supplier Reduces Scrap and Improves Manufacturing Quality with Data-Driven Production Analytics
Industrial Manufacturing
Production
A Leading Global Industrial Manufacturer Accelerates HVAC Filter Design with AI-Driven Surrogate Modeling
Industrial Manufacturing
Concept
Leading Engineering Organizations Gain an Advantage with Key Ward
Concept
“The missing link between your data and your reporting. Key Ward gave me control over my data and unlocked things I hadn't imagined: from training machine learning models that accurately predict acoustic performance to automating full workflows. A game-changer for any data-driven engineer”
Validation
"We generated data across seven simulation and test environments. Key Ward connects all of it automatically; structured, queryable, and ready for Al/ML with dashboards that give stakeholders instant visibility. Groundbreaking for any data-drive engineering team. We are already seeing fruits and can't wait until we are fully migrated with all our data in one place!"
Dr. Jeremy Howard-Knight
Head of Business Development
Modeling
”Key Ward helped FEV turn simulation data into reusable engineering intelligence that enabled faster convergence, lower cost experimentation, and scalable CFD workflows.”
Modeling
“Key Ward helped our engineering program move beyond brute-force simulation using structured data and reduced order models to optimize aerodynamics faster, at a lower cost, and at scale"
