NCS: the leading 3D Deep Learning Platform for Engineering
Neural Concept Shape (NCS) places deep-learning at the center of the product development process to guide designers faster towards radically better concepts
By learning from any non-parametric 3D design, NCS has a tangible impact on optimization possibilities and therefore on competitiveness.
Time to market
3D Deep Learning empowers engineering organizations to achieve faster time to market and reduce response times.
Continuous improvement
Past engineering practices are under-exploiting their CAE and CAD tools and the data produced. NCS is a learning system that gets fed by your everyday raw CAE and CAD data.
World Record Holder in two Categories for Human Powered Vehicle Speed. 138 km/h Designed with NC Shape.
HOW DOES IT WORK?
NCS: from design & simulation data to production
An interactive development platform, allowing simulation engineers and data scientists to manage efficiently data pipelines, 3D machine learning models and optimization campaigns. It enables them to power next-generation product development processes with industry-leading AI.
COMPATIBLE CAD FORMATS
ROI TIMELINE
Return on investment in just two months
After 2 weeks:
You have a clear and realistic vision for your 3D Deep Learning deployments. You start executing.
After 1 month:
Your Expert engineers have caught up with the state‑of‑the‑art.
After 2 months:
First success with measurable technical benefits.
After 4 months:
While the first team of users is already obtaining RoI, you are expanding to other teams.
After 1 year:
The benefits of these methodologies are widespread in the companies. Teams of Experts are fully independent, proposing solutions to evolving challenges.
related resources
Webinars
Industry Roundtable: Artificial Intelligence & Machine Learning in Cutting-Edge Simulation
Blog
Vibration Testing Basics: Methods and Applications
Blog
The Role of AI in Transforming Structural Engineering
Press Releases
Neural Concept Awarded The Scale-Up Vaud 2024 Label
Blog
Stress Concentration: Mitigating Risk Factors in Design Engineering
Customer Stories
From Weeks to a Day: Mitsubishi Chemical Group Accelerating Material Characterization
Blog
Structural Vibration: Predicting and Mitigating Dynamic Effects
Customer Stories
Improving Crash Box Performance by 10% with DLR
Blog
Manufacturing Simulation Software Solutions for Optimization
Webinars
Revolutionizing SaaS and Deep Learning for Engineers with Microsoft
Customer Stories
Danfoss - Enhancing Check Valve Design with Deep Learning
Blog
Static Structural Analysis: Basics and Applications
Customer Stories
E+H Collaboration - Accelerating Workflow by 200x
Blog
What Is Structural Analysis in Engineering? Comprehensive Guide