DCbrain
A solution based on graph models and Machine Learning used to ease exploitation and maintenance processes of complex industrial networks.
- B2B
- saas
- commission
- energy
- transportation
- logistics & delivery
- energy efficiency
- oil & gas
- machine learning
- artificial intelligence
- deep tech
- horizon europe
- sustainable development goals
- dt and ls
- climate tech
- core ai
- radar de l'innovation
- ai applications
- tech for business
- eit ecosystem
- observatoire greentech
- industrial technology
- observatoire deeptech
- smart cities
- eit innoenergy
- eit kic partners
- greentech
- manufacturing
- manufacturing tech
- smart grid
- tech in fab
- energy and greentech
- participations bpifrance
- industrial analytics
| USD | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | - | (6 %) | 3 % | 63 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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DCbrain is a technology company specializing in the optimization of gas and supply chain networks using artificial intelligence (AI). The company operates in the utilities and logistics sectors, providing a Software as a Service (SaaS) solution named INES (Intelligent Network Solution). This tool leverages advanced AI techniques, including machine learning and deep learning, to offer real-time optimization and predictive analytics. DCbrain's primary clients include utility companies and logistics providers who seek to enhance the efficiency and reliability of their network operations. The business model is subscription-based, where clients pay for access to the SaaS platform, which helps them achieve a higher return on investment (ROI) within a few months. The company generates revenue through these subscriptions and additional services such as data analysis and consulting.
Keywords: AI, SaaS, gas networks, supply chain, optimization, machine learning, deep learning, utilities, logistics, predictive analytics.