D Laboratory
Energy technology company based at Ideon Science Park in Lund, Sweden.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor | €0.0 | round |
| investor investor | €0.0 | round | |
| N/A | $2.0m | Early VC | |
| Total Funding | 000k | ||
| EUR | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | 73 % | (33 %) | 31 % | (14 %) | 272 % | 133 % | 21 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | (37 %) | (152 %) | (131 %) | (268 %) | (75 %) | (13 %) | - |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | (44 %) | (164 %) | (142 %) | (286 %) | (89 %) | (20 %) | (24 %) |
| 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
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A cleantech company that has developed a digital platform for intelligent visual grid analytics. This platform is designed to assist power grid operators in preventing power outages, addressing grid-related issues, and navigating the energy transition.
The company's core offering is a cloud-based solution that analyzes data from power grids to provide early warnings and insights. This enables operators to make data-driven decisions, optimize grid planning, and improve the overall reliability and efficiency of their networks. The technology is based on patented algorithms and aims to enhance worker safety, increase profitability, and improve customer satisfaction for their clients.
Dlaboratory Sweden AB operates in the energy sector, serving power grid operators as its primary clients. The business model appears to be centered around providing its platform as a service, helping to facilitate the move towards more sustainable and intelligent energy systems.
Keywords: grid analytics, power outages, cleantech, energy sector, grid operators, data-driven decisions, cloud-based solution, patented algorithms, grid reliability, energy transition