Optimization tools are often employed but hardly deliver at scale because of limitations related to design parametrization and to the cost of siloed, independent simulation campaigns.
Extract the best out of many design concepts.
Shape will help you find the best design, out of many concepts. It allows you to move away from your existing parametrizations, to converge to truly innovative design, outperforming classical ones.
Customize designs in no time by never starting an optimization from zero again
Adapting to the ever-changing performance requirements is key. Hence, you need to itereate between multiple new and existing design concepts.
With Shape, you can capitalize on everything you do. You will continuously feed an ever smarter deep-learning model, which will make you save precious time and resources.
A more flexible approach to design optimization.
Because it is predicting simulation-like results from simulation‑like inputs, Shape makes your optimization workflow more flexible. You can change your design space or design objectives at any time, without any additional cost or effort.
Handle complex design and structures with many sub‑parts and intricated physics.
With Shape, you can analyse the design performances through temperature and velocities on surfaces, slices, or directly in 3D. The Geometric Neural Networks implemented in Shape, are able to to extract local and global features in large and complex design assemblies.