VeraSun Energy
1
1
0.05
1
- Areas of investment
Summary
VeraSun Energy appeared to be the Corporate Investor, which was created in 2001. The company was established in North America in United States. The main office of represented Corporate Investor is situated in the Sioux Falls.
The fund is constantly included in less than 2 deals per year. The important activity for fund was in 2007.
For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Besides, a startup needs to be aged 11-15 years to get the investment from the fund. Among the most successful fund investment fields, there are Biotechnology, Energy. Among the various public portfolio startups of the fund, we may underline Qteros
The typical case for the fund is to invest in rounds with 3 participants. The meaningful sponsors for the fund in investment in the same round are LRVHealth, Battery Ventures. In the next rounds fund is usually obtained by Venrock, Qualcomm Ventures, LRVHealth.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 1
- Rounds per year
- 0.05
- Investments by industry
- Biofuel (1)
- Energy (1)
- Biotechnology (1)
- Investments by region
-
- United States (1)
- Peak activity year
- 2007
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
- 25
- 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 |
|---|---|---|---|---|---|
| Qteros | 14 Aug 2007 | Biotechnology, Energy, Biofuel | Early Stage Venture | 0 | United States, Massachusetts, Marlborough |
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.