Equinor Energy Ventures
3
16M
3
1
- Areas of investment
Summary
The overall number of key employees were 4.
Besides, a startup needs to be aged 6-10 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Sunverge Energy. We can highlight the next thriving fund investment areas, such as Renewable Energy, Clean Energy.
The usual cause for the fund is to invest in rounds with 5 partakers. Despite the Equinor Energy Ventures, startups are often financed by Total Ventures, Next47, Southern Cross Venture Partners. The meaningful sponsors for the fund in investment in the same round are Evergy Ventures, Venture Investors, UL Ventures.
The fund is generally included in 2-6 deals every year. The important activity for fund was in 2019. Deals in the range of 10 - 50 millions dollars are the general things for fund.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 1
- Investments by industry
- Renewable Energy (2)
- Aerospace (1)
- Energy Efficiency (1)
- Wind Energy (1)
- Analytics (1) Show 14 more
- Investments by region
-
- United States (2)
- United Kingdom (1)
- Peak activity year
- 2019
Discover reliable insights
Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 13
- Group Appearance index
- 1.00
Need more data?
Get access to full data about investors, including their team, contact information, and historic data.
Latest deals
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Carbon Clean Solutions | 02 Jul 2020 | Industrial, Oil and Gas, Environmental Consulting, Biomass Energy, Pollution Control | Early Stage Venture | 22M | England, London, United Kingdom |
At Unicorn Nest, we combine cutting-edge technology with human expertise to build one of the most reliable venture capital databases in the market. Our process begins with automated AI-enhanced data collection, leveraging the full potential of Large Language Models (LLMs).
Later, our team of analysts takes it further with manual verification, using proprietary tools for data cleaning and validation to ensure accuracy and reliability. We cross-check and enhance our findings through press and media monitoring, integrating information from trusted news outlets and venture capital aggregators. Finally, we stay ahead of the curve by monitoring social networks like LinkedIn and X.com.