Total investments

36

Average round size

2M

Portfolio companies

35

Rounds per year

0.65

Lead investments

29

Follow on index

0.03

Areas of investment
InternetHigher EducationEducationKnowledge ManagementMusicNon ProfitAssociationUniversitiesArtMuseums and Historical Sites

Summary

The usual cause for the fund is to invest in rounds with 2-3 partakers. Despite the Andrew W. Mellon Foundation, startups are often financed by Vertex Ventures HC, Vertex Ventures, New Enterprise Associates. The meaningful sponsors for the fund in investment in the same round are Windham Venture Partners, Vertex Ventures HC, Vertex Ventures.

We can highlight the next thriving fund investment areas, such as Knowledge Management, Internet. Among the most popular portfolio startups of the fund, we may highlight Earlens Corporation. Besides, a startup requires to be at the age of 11-15 years to receive the investment from the fund.

The usual things for fund are deals in the range of 5 - 10 millions dollars. Considering the real fund results, this Corporate Investor is 47 percentage points more often commits exit comparing to other organizations. The high activity for fund was in 2020. The fund is constantly included in 2-6 deals per year.

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Investments analytics

Analytics

Total investments
36
Lead investments
29
Rounds per year
0.65
Follow on index
0.03
Investments by industry
  • Education (14)
  • Universities (6)
  • Higher Education (5)
  • Non Profit (4)
  • Museums and Historical Sites (2)
  • Show 28 more
Investments by region
  • United States (34)
Peak activity year
2023

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Quantitative data

Avg. startup age at the time of investment
104
Group Appearance index
0.03

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
UGE 15 Apr 2014 CleanTech, Energy, Renewable Energy, Solar, Wind Energy Early Stage Venture 5M United States, New York, New York
How we get our data

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.