We Optimize Design Processes!
Through the use of advanced design methods and the latest technological tools, we work to optimize and improve design processes and increase efficiencies. Using computational design on a variety of scales. Starting from complex artistic installations which would be nearly impossible with conventional tools and up to city scale computational urban design which can help automate repetitive tasks and allow more flexibility with design.
Using several tailored algorithms, we are able to achieve pre-set design objectives such as solar exposure control, improve sightliness, increase shading, improve spatial efficiencies, provide shortest walking paths and much more.
Computational design can help us decrease material waste, increase structural efficiencies and maximize desirable design criteria.
Computational Design
Computational design is a design method that uses a combination of algorithms and parameters to solve design problems with advanced computer processing. Every step of a designer’s process is translated into coded computer language allowing us to make changes to the design and automatically re-run all of the steps instead of manually redoing the entire process.
Design Optimization
Using algorithms and mathematical formulas, the design can be optimized through several parameters to achieve the best performing option.
Generative Design
Generative design is an iterative design process that involves a program that will generate a certain number of outputs that meet certain constraints, and a designer that will fine tune the feasible region by selecting specific output or changing input values, ranges and distribution.