EnergyFunders
2
254K
1
0.20
0.50
- Areas of investment
Summary
EnergyFunders is the famous VC, which was founded in 2013. The fund was located in North America if to be more exact in United States. The main department of described VC is located in the Houston.
For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the various public portfolio startups of the fund, we may underline EnergyFunders
The current fund was established by Casey Minshew, Michael Racusin, Philip Racusin. We also calculated 2 valuable employees in our database.
The high activity for fund was in 2015. Deals in the range of 100 thousands - 1 million dollars are the general things for fund. The fund is generally included in less than 2 deals every year.
The standard case for the fund is to invest in rounds with 1 partaker. In the next rounds fund is usually obtained by SeedInvest.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 0
- Rounds per year
- 0.20
- Follow on index
- 0.50
- Investments by industry
- Finance (2)
- Oil and Gas (2)
- Blockchain (2)
- Crowdfunding (2)
- Investments by region
-
- United States (2)
- Peak activity year
- 2015
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
- 10
- Avg. valuation at time of investment
- 10M
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 |
|---|---|---|---|---|---|
| EnergyFunders | 15 Feb 2015 | Finance, Crowdfunding, Blockchain, Oil and Gas | Seed | 254K | United States, Texas, Houston |
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.