
Neural Concept
Transforming industrial engineering processes with deep learning.
Date | Investors | Amount | Round |
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- | investor investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
* | $27.0m | Series B | |
Total Funding | 000k |
USD | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | 48 % | 71 % | 22 % |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Neural Concept is a technology startup that leverages 3D Deep-Learning algorithms to enhance product design and development. The company operates in the automotive and aerospace industries, serving Original Equipment Manufacturers (OEMs) and Tier 1 suppliers. These industries are currently transitioning to new types of products and components, driven by trends such as vehicle electrification. Neural Concept's technology helps these companies increase the speed and efficiency of their product design development.
The company's product, Neural Concept Shape (NCS), optimizes product designs early in the development process. This results in superior performance and reduced late-stage failures. NCS provides physics-related insights directly from the CAD (Computer-Aided Design) tool, guiding designers towards better performance. This eliminates the need for meshing, waiting, and failures, making the design process more efficient.
Neural Concept's business model is based on providing its technology to clients to integrate into their product design workflows. This allows CAD teams to operate more efficiently with CAE (Computer-Aided Engineering) teams, reducing the iteration time between different teams and speeding up product delivery. The company claims a lead-time reduction of over 90%.
Neural Concept generates revenue by licensing its technology to clients. The company has collaborated with Danfoss and Mitsubishi Chemical Group, among others, to integrate NCS into their workflows. These collaborations have resulted in significant improvements in product performance and efficiency.
Keywords: Neural Concept, 3D Deep-Learning algorithms, product design, automotive industry, aerospace industry, Original Equipment Manufacturers (OEMs), Tier 1 suppliers, Neural Concept Shape (NCS), CAD, CAE.