Project description
A deep-learning approach to make the engineer's life easier
With new technologies being developed every day, companies need new tools to improve existing designs without engineers having to spend more time to produce good and accurate results. Swiss company Neural Concept is developing NeuralShape, the first deep-learning system to improve engineers' work. The system will allow engineers to save time, energy and money, while providing optimal design choices with very precise results. The EU-funded NeuralShape project will work on optimising the software and scaling up the technology to address the technical needs of different European markets, targeting engineering companies as well as aerospace and green energy manufacturers.
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.
Fields of science
- natural sciencescomputer and information sciencessoftware
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
1015 LAUSANNE
Switzerland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.