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NeuralShape: the first deep-learning based software to improve the engineer ‘work.

Objective

With the new technologies’ development and the large-scale adoption of autonomous and electric cars, drones, as well as humanity´s quest for green energy, new designs become much more sophisticated, with complex simulations, producing vast amounts of data. This, as a results force tools like CAD and CFD to be rethought. Companies need new tools to improve existing designs without engineers having to spend more time to make a good and accurate design. At Neural Concept (a Swiss company founded in 2017) we have develop a solution to overcome these needs: NeuralShape, the first deep learning system to improve the engineers´work. With NeuralShape Engineers will save time, energy and economical cost, while providing optimal design choices with very precise results. Based on the good performance of our prototypes being currently tested for different business cases (UAV, hydrofoil and speed bicycle), we aim to optimize the software and scale-up technology to fulfil the technical needs of different European markets. This CAD and CFD market is expected to be €6.5B by 2021 (CAGR 7%). Our customers will be engineering companies as well as Engine Automotive, Aeroespace and Green energy manufacturers. €6M sales projection has been estimated for the third year of commercialization.

Field of science

  • /social sciences/economics and business/business and management/commerce
  • /natural sciences/computer and information sciences/software
  • /engineering and technology/environmental engineering/energy and fuels/renewable energy
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning

Call for proposal

H2020-SMEInst-2018-2020-1
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

NEURAL CONCEPT SARL
Address
Epfl Innovation Batiment C
1015 Lausanne
Switzerland
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000