Neural Concept
Enhance your design and verification workflows with AI for Engineering by training a Neural Network with existing data from designs and simulations. The impact of new design ideas can be validated in milliseconds – rather than hours or days, as with traditional methods – enabling a boost in efficiency by at least 2-10 times. Additionally, design optimization based on specific objectives and constraints is now achievable, allowing for the evaluation of up to 100,000 designs in just a few minutes.
Key Features
Neural Concept Shape is an industry leading product exploiting 3D deep-learning algorithms, with the following key features:
- High-end deep learning software that understands 3D shapes (CAD) and learns how they interact with the laws of physics (CAE)
- It emulates full-fledged simulators, giving predictions in approximately 30ms, versus minutes to hours (or even days) for classic simulation
- Model can be trained on both simulation and test data
- Simulation and geometry data can come from any CAE and CAD tool
- The trained model can be deployed as a web-application or integrated directly into your CAD-tool
Benefits
Gain a Competitive Advantage Being Faster to Market
Design Better Products - Faster!
Explore Thousands of Design Configurations in Seconds
Accelerate R&D Cycles and the Entire Design and Verification Process
Easily Accessible and Usable by Non-Simulation Experts
Who We Have Helped
For the considered application, NCS performs clearly better than currently used surrogate models and therefore we see the potential of NCS for more use-cases.
— Roland Schirrmacher / Bosch
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Video Insights
Meet our AI for Engineering Partner - Neural Concept
Neural Concept is a cutting-edge technology company that specializes in developing artificial intelligence (AI) software for engineering design and optimization. With a focus on deep learning and neural networks, Neural Concept is revolutionizing the way that engineers approach complex design problems.
Founded in 2018 by a team of world-class experts in the fields of AI and engineering, Neural Concept has quickly established itself as a leader in the field of AI-assisted engineering. Their flagship product, Neural Concept Shape, is a cloud-based software platform that enables engineers to rapidly explore and optimize the design of complex 3D shapes.
Applications of AI and Machine Learning in Engineering
- Data-Driven Decision Support: Utilize AI for comprehensive data analysis, enhancing decision-making capabilities in engineering projects.
- Design Optimization: Employ AI to refine and optimize engineering designs, including the identification of optimal mechanical shapes.
- Quality Assurance: Implement AI to proactively detect and resolve potential quality issues in product development phases.
- Task Automation: Leverage AI to automate routine engineering tasks such as data analysis and simulations, supporting both experienced and novice engineers.
