Performance-Driven
Computational Design
Performance-Driven
Computational Design
Performance-Driven
Computational Design
We do not simply model a static object; we code the logic that generates it. This allows us to move beyond
human intuition and use algorithms to discover the single most efficient shape for your specific performance goals.
We do not simply model a static object; we code the logic that generates it. This allows us to move beyond
human intuition and use algorithms to discover the single most efficient shape for your specific performance goals.
We do not simply model a static object; we code the logic that generates it. This allows us to move beyond human intuition and use algorithms to discover the single most efficient shape for your specific performance goals.
What is Computational Design?
What is Computational Design?
What is Computational Design?
Think of Traditional Design like a chef executing a single recipe: they craft one unique dish based on intuition, but changing a core ingredient often requires starting the whole process from scratch, which limits the ability to explore alternatives efficiently.
Think of Traditional Design like a chef executing a single recipe: they craft one unique dish based on intuition, but changing a core ingredient often requires starting the whole process from scratch, which limits the ability to explore alternatives efficiently.
Think of Traditional Design like a chef executing a single recipe: they craft one unique dish based on intuition, but changing a core ingredient often requires starting the whole process from scratch, which limits the ability to explore alternatives efficiently.
Think of Traditional Design like a chef executing a single recipe: they craft one unique dish based on intuition, but changing a core ingredient often requires starting the whole process from scratch, which limits the ability to explore alternatives efficiently.
Think of Traditional Design like a chef executing a single recipe: they craft one unique dish based on intuition, but changing a core ingredient often requires starting the whole process from scratch, which limits the ability to explore alternatives efficiently.
Think of Traditional Design like a chef executing a single recipe: they craft one unique dish based on intuition, but changing a core ingredient often requires starting the whole process from scratch, which limits the ability to explore alternatives efficiently.
Why Choose Computational Design?
Why Choose Computational Design?
Why Choose Computational Design?
To switch from linear effort to exponential speed. While Computational Design requires an initial time investment to set up the logic, the process becomes incredibly fast after this first phase.
To switch from linear effort to exponential speed. While Computational Design requires an initial time investment to set up the logic, the process becomes incredibly fast after this first phase.
We enable you to manufacture products that were previously impossible to conceive. From variable-density lattices that replace complex assemblies to organic textures that improve grip and aerodynamics.
We enable you to manufacture products that were previously impossible to conceive. From variable-density lattices that replace complex assemblies to organic textures that improve grip and aerodynamics.
Guesswork is expensive. By integrating simulation and manufacturability analysis (DfAM) early in the process, we predict failure points and optimization opportunities before you cut a single mold or print a prototype. We validate performance virtually to ensure success physically.
Guesswork is expensive. By integrating simulation and manufacturability analysis (DfAM) early in the process, we predict failure points and optimization opportunities before you cut a single mold or print a prototype. We validate performance virtually to ensure success physically.
In the era of personalized performance, one size fits no one. Our workflows are built to scale. We can take a single product logic and adapt it automatically to thousands of unique user datasets.
In the era of personalized performance, one size fits no one. Our workflows are built to scale. We can take a single product logic and adapt it automatically to thousands of unique user datasets.