Engineering Intelligence
Breaking the trade-off between product quality and development time, using 3D Deep-Learning algorithms.
OEMs and Tier 1 in the automotive & aerospace industries are currently having to transition to new type of products and components. Trends such as vehicle electrification are forcing this transition hence creating a need to drastically increase the speed and the efficiency of the product design development.
Performance early-on
Unlock 2030 technologies today
The product is optimized very early on, which results on best-in-class performance and reduced late stage failures. Design engineers are guided to create products beyond what is normally achievable with conventional design tools.
Speed-up product delivery
>90% lead-time reduction
By having access to physics simulation results in seconds instead of hours or days, CAD teams can iterate at a significantly faster pace than today. It makes them operate more efficiently with CAE teams, reducing drastically the iteration time between the different teams. The project or RFQ is then completed much faster.
Leveraging competencies
CAD team operational twice faster
Design engineers are better guided in their choices by the algorithm and therefore need less intuition about the product and less trainings. This reduces substantially the involvement and time from the CAE team. Consequent cost savings are achieved through the efficient use of resources and competences.
Neural Concept Shape (NCS) provides physics-related insights directly from the CAD tool and guides the designer towards better performance
No more meshing, no more waiting, no more failures.
Customer & Partner Stories
Success stories
Enhancing check valve design with Danfoss
We collaborated with Danfoss to integrate NCS into their product design workflows. Through NCS models, they optimize check valve performance, achieving approximately 10% improvement in mass flow rate.
From weeks to a day: Mitsubishi Chemical Group accelerating material characterization
MCG has fully deployed NCS in their experts' and designers' workflow and is now able to provide a qualified answer to their customers within a single day instead of several weeks with their previous traditional process.
Improving crash box performance by 10% with DLR
The German Aerospace Center (DLR) partnered with us to enhance the design of crash boxes for novel vehicles using deep learning, showcasing the transformative potential of NCS for sustainable and cost-effective vehicle concepts.
