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Data-Driven Design

Robust Design Capabilities

We have developed a data-driven methodology for excelling at the early design and planning stages of complex projects, an approach that has transformed the traditional design process of lengthy iterative cycles of trial and error. With this methodology, we can evaluate manipulated parameters of various scenarios and complex information in real-time.

Client-Focused Innovation

We believe that qualitative and quantitative features of process and design contain crucial decision-making data that can be modeled, visualized, tested, compared and validated. By leveraging interactive design information, modeling workflows into client-based deliverables focused on rapid iteration, and in-depth study of the client’s design problems, we can generate solutions with greater precision and performance, in less time.

Bespoke Tool Applications

Utilizing many instruments and services that advance our design, analysis and workflow methodology, we continually strive to expand our tool belt with the latest technology. Progressive workflows such as parametric modeling, design to fabrication, advanced geometry modeling, scope and data-wrangling play a key role in enabling our designers to tackle more significant problems they may have otherwise been unable to solve, with increased creativity and more inclusive design.

Navigating the Growing Influence of Artificial Intelligence in Building Design

There are no better examples of how AI will transform industries than in cybersecurity, medicine and manufacturing. However, as AI evolves into other design and related industries, it can do more good than bad by tackling the mundane to expand the creative process.

Dive into the Technology

See how data informs design in our book, Data Driven Design

What is Data-Driven Design?

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Design

Our clients require greater precision and validation of choices. Data-driven design enables us to provide confidence that our design decisions will reveal the results that we promised. We use computational design to validate metrics faster, and at a grander scale, allowing for more design exploration and honed-in solutions. 

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Analysis

Expanding upon our analytical scope, we measure and compare data in real-time to uncover valuable results. Computer augmentation allows us to understand all the interplays and interactions going on to a higher degree, revealing potential trade-offs, and developing a detailed picture of the different contributing parameters.

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Workflow

Data-driven design enhances the workflow both internally and externally. It increases the design team’s potential for interaction and creates better efficiency, optimizing operational aspects to provide greater clarity toward execution. Our tools also strengthen communication with clients, facilitating a clear dialogue so that our design teams can better understand their needs. The resulting workflow allows us to address many difficult questions early on, so we can make adjustments to improve the projections before implementation.

Data-Driven Leaders

Computational Design Principal
Computational Design Lead
Director, Consulting
Computational Design Lead
Computational Design Lead
Senior Designer