Earth Science Analytics
Improves exploration success in challenging geological settings by providing geoscience-driven machine learning workflows and software.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
| investor | €0.0 | round | |
| investor investor | €0.0 | round | |
| investor investor investor investor | €0.0 | round | |
* | NOK173m Valuation: NOK215m 12.6x EV/Revenue | Acquisition | |
| Total Funding | 000k | ||
| NOK | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 25 % | 2 % | 21 % | (27 %) |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | (51 %) | (60 %) | (121 %) | (90 %) | (70 %) |
| 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: Company filings or news article
Related Content
Earth Science Analytics AS, an artificial intelligence petroleum geoscience software provider, was established in 2016. The company is headquartered in Stavanger, Norway, with additional offices in Oslo and Bergen. Its founding team includes Eirik Larsen, who serves as the CEO.
The firm develops and markets EarthNET, a cloud-native software platform designed to enhance subsurface data analysis for the energy industry. This platform integrates geological and geophysical data with machine learning algorithms to generate data-driven predictions, aiming to improve the efficiency and precision of oil and gas exploration and production. By automating and streamlining data interpretation workflows, EarthNET allows geoscientists to analyze large, complex datasets more rapidly than with traditional methods. The software assists in tasks such as seismic interpretation, reservoir characterization, and well-log analysis, ultimately seeking to reduce exploration risks and lower costs for its clients.
Earth Science Analytics operates on a software-as-a-service (SaaS) business model, providing its cloud-based solutions to exploration and production (E&P) companies. The company targets geoscientists and asset teams within these organizations, offering them tools to accelerate their workflows and improve decision-making. A significant milestone was achieved in 2021 when the company was acquired by Bluware Corp., a move intended to combine Bluware’s data-streaming technology with ESA’s machine learning capabilities to create a more comprehensive digital ecosystem for the energy sector.
Keywords: petroleum geoscience, machine learning software, subsurface data analysis, oil and gas exploration, SaaS, E&P industry, reservoir characterization, seismic interpretation, cloud-native platform, geological data