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IMPACT

The Key Ward Impact

OEMs and suppliers gain a competitive edge by accelerating engineering cycles and reducing reliance on costly simulation loops.

60%

faster time to insight vs. manual data preparation workflows

90%

reduction in simulation and compute costs

4–5

hours saved per cycle vs. manual data handling

70%

faster RFQ resolution versus traditional engineering workflows

Used by engineering teams at

Explore More Designs, Faster

Brute-Force Simulation to Real-Time Design Exploration

Replace slow, expensive simulation loops with predictive models that enable instant performance evaluation and faster design optimization at scale.

BeyondAero Accelerates Aerodynamic Design for Next-Generation Aircraft

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Reduce Manufacturing Costs

Reactive to Proactive Quality Control Through Data-Driven Prediction

Optimize production efficiency and lower costs by reducing scrap, minimizing rework, and improving processes through early detection and data-driven insights.

Tier 1 Supplier Reduces Scrap and Improving Manufacturing Quality with Data-Driven Production Analytics

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Reduce Manufacturing Risks

Detect Failures Early to Ensure Product Quality

Connect production and field data to identify defects, failure drivers, and quality issues earlier using AI-driven predictive analysis.

Automotive OEM Accelerates Root Cause Analysis with Structured Plant and Field Data

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Build Reusable Intelligence

Turn fragmented data into scalable, reusable assets

Transform engineering data into structured datasets and workflows that compound value across programs and products.

Carnot transformed its data workflows from manual and fragmented to automated and reusable

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Accelerate Time to Market

Slow Sequential Simulation to Real-Time Prediction

Move from slow, sequential development to rapid, data-driven iteration and validation. Shorten development cycles from months to days by enabling faster iteration, validation, and decision-making.

Tier 1 Supplier Reduces E-Motor Development Time with Surrogate Modeling and Structured Engineering Data

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Reduce Operational Costs

Eliminate manual effort and compute-heavy workflows

Cut operating costs by automating data pipelines and workflows and reducing reliance on expensive, compute-intensive simulation and analysis across the engineering lifecycle.

FEV Accelerates CFD Convergence with Reduced Order Modeling

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Leading Engineering Organizations Gain an Advantage with Key Ward

Modeling

β€œKey Ward reduced RFQ time from 1.5 months to days. And it’s got a great interface as well.”

Sr. Development Engineer Tier 1 Supplier

Validation

β€œWe’ve eliminated 4–5 hours of manual data handling per cycle. Our engineers now go straight from test to insight because Key Ward auto-connects to our rigs, instantly structuring data for analysis and optimization.”

Sr. Development Engineer

Modeling

”Key Ward helped FEV turn simulation data into reusable engineering intelligence that enabled faster convergence, lower cost experimentation, and scalable CFD workflows.”

Lead CFD engineer

Concept

β€œWhat used to take days now takes minutes. We spend less time processing data and more time making decisions. We have clear visibility into the data that is being used to train our models.”

Dr. Thibault Lafont

Technical Expert, Acoustics

Post-Launch

β€œBy connecting plant and field data with explainable AI, a leading automotive OEM moved from reactive troubleshooting to proactive, data-driven reliability engineering, turning post-launch data into strategic advantageβ€œ

Sr. Development Engineer

Modeling

β€œKey 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"

Senior Aerodynamics Engineer

Case Studies

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Autoneum reached optimal acoustic performance for an advanced material using structured data and a repeatable workflow

FEV Accelerates CFD Convergence with Reduced Order Modeling

Carnot transformed its data workflows from manual and fragmented to automated and reusable

Explore Industries

all industries

Automotive

Aerospace

Industrial Manufacturing

Additive Manufacturing

Build the Data Foundation for AI-Driven Engineering