Neural Concept | Shape: 3D Deep Learning AI for Enhanced Engineering

WHY SHAPE?

Product performance

By learning from any non-parametric 3D design, Shape has a tangible impact on optimization possibilities and therefore on competitiveness.

Time to market

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. Shape 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?

Shape: one predictive model, two products

Predictive models are used to simplify processes and emulate simulation engineers' expertise, by transferring it to design engineers early in the development process.

COMPATIBLE CAD
FORMATS

ROI TIMELINE

Return on investment in just two months

After 2 weeks:

You have a clear and realistic vision for your Machine 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.