Computational Design

Computational Design.
Explore the options. Explain the choice.

Parametric models and performance-led exploration for engineering questions with more than one answer.

Computational Design

The work behind
the service.

A model becomes more useful when it reveals the trade-offs behind a decision. We develop computational workflows that let teams vary inputs, examine alternatives and keep their design assumptions traceable.

SHAPE THE ENGAGEMENT

Connected scope.
Clear responsibilities.

Select a topic to explore what the support can include. The final responsibilities, deliverables and specialist interfaces are agreed for your project.

Parametric modeling

Build adaptable geometry and rule-based models around the project’s design constraints.

Design option studies

Explore alternative configurations against agreed criteria rather than relying on one early answer.

Performance-based optimization

Connect suitable analysis inputs and outputs to the decision process, with assumptions and limitations visible.

Reusable design tools

Package useful methods into documented tools that the team can repeat and maintain.

FROM THE FIRST CONVERSATION
01

Define the question

Agree on the variables, fixed constraints, evaluation criteria and expected results.

02

Explore with purpose

Develop the model and compare alternatives using the agreed evaluation basis.

03

Make the result usable

Explain the selected option, trade-offs and how to rerun the study.

Let’s discuss your next project.

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