Remove repetitive work
Engineering workflows often contain repetitive tasks that can be automated, from preprocessing and geometry operations to result extraction and reporting.
The fastest development process is not necessarily the one with the most engineers working harder. It is the one that removes unnecessary iterations, automates repetitive work, improves decisions and identifies problems earlier.
Development time is often consumed not by a single difficult engineering calculation, but by repeated cycles of design, analysis, correction, communication, validation and decision-making.
A development process can therefore become slow even when individual engineering tasks are highly capable.
The opportunity is to understand where time is actually being lost and then redesign the development loop around faster, better-informed decisions.
Engineering workflows often contain repetitive tasks that can be automated, from preprocessing and geometry operations to result extraction and reporting.
Simulation and analysis can help identify poor concepts before they progress further through the development process.
Parameterised models can make design-space exploration faster than manually rebuilding every alternative.
Reusable algorithms, workflows and validated models can prevent teams from solving the same problem repeatedly.
A large amount of development friction can occur when geometry, simulation, analysis results, spreadsheets, reports and engineering decisions are disconnected. Connecting those steps can sometimes create more value than optimizing any single tool.
Generate, modify and evaluate geometry systematically instead of repeating manual modelling operations.
Automate model preparation, solver execution, result extraction and repeated analysis workflows.
Move engineering information between tools and preserve useful results for future decisions.
Convert analysis results into consistent engineering outputs without rebuilding reports manually.
Evaluate multiple design alternatives systematically instead of relying entirely on sequential manual iteration.
Present the important engineering relationships so teams can make decisions faster and with greater confidence.
AI does not need to replace engineering analysis to create value.
It can instead help reduce the number of expensive or time-consuming iterations required to reach a satisfactory solution.
Approximate expensive simulations using models trained on previous engineering results when the problem is suitable.
Search large combinations of design variables more efficiently than purely manual iteration.
Use previous designs, analyses and outcomes as a source of knowledge for future development.
Help engineers identify relevant variables, alternatives, relationships and potential trade-offs.
The goal is not simply to make each stage faster. The larger opportunity is to reduce the number of unnecessary cycles between them.
When exploring an alternative design becomes cheaper and faster, teams can evaluate ideas that previously would not have justified the time required.
This means development speed is not merely a project-management metric. It can directly influence how much design exploration a product receives—and therefore what ultimately gets built.
Reducing development time can increase the number of meaningful design alternatives a team can investigate before committing to a product direction.
Explore the engineering decisions involved in developing better products.
Explore Product Engineering →Explore systematic methods for finding better engineering solutions within constraints.
Explore Engineering Optimization →Explore simulation and engineering analysis as part of the product development process.
Explore CAE / FEA →Understand how faster technical decisions connect with product direction and business priorities.
Explore Product Strategy →Development time can be reduced by identifying bottlenecks, automating repetitive work, improving simulation workflows, reusing engineering knowledge and making important decisions earlier.
Yes. Automation can reduce repetitive modelling, simulation, data processing, reporting and other engineering tasks.
AI can potentially reduce development time through prediction, design-space exploration, surrogate modelling and engineering decision support, depending on the problem and available data.
Each iteration can involve design changes, analysis, reviews, manufacturing considerations, testing and communication. Reducing unnecessary iterations can therefore have a large impact on total development time.
Start with the bottleneck. MATAPPLY connects engineering, technology, product and business perspectives to identify possible paths toward faster development.
START WITH A PROBLEM