Braincube
AI data software and analysis for manufacturing.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
| investor investor | €0.0 | round | |
* | €83.0m | Series B | |
| Total Funding | 000k | ||
| EUR | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | (4 %) | 16 % | 260 % | 14 % | 5 % | 18 % | 17 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | 20 % | 17 % | - | - | - | - | - |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | 9 % | 7 % | - | - | - | - | - |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
Related Content
Braincube is a leading Industrial Internet of Things (IIoT) platform suite designed specifically for the manufacturing sector. The company offers a comprehensive suite of business and expert applications that leverage advanced business intelligence and Digital Twin technology to optimize manufacturing processes. Braincube's platform enables manufacturers to resolve problems, save time, and optimize resources through real-time data monitoring and machine learning. The company primarily serves industrial manufacturers looking to enhance their operational efficiency and productivity. Braincube operates in the industrial automation and manufacturing technology market, employing a subscription-based business model where clients pay for access to its suite of applications. Revenue is generated through these subscriptions as well as through professional services offered to customize and implement the platform.
Keywords: IIoT, manufacturing, Digital Twin, business intelligence, real-time data, machine learning, operational efficiency, industrial automation, subscription model, productivity.