McKnight Foundation
3
16M
3
- Areas of investment
Summary
The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is constantly included in less than 2 deals per year. The important activity for fund was in 2018.
The standard case for the fund is to invest in rounds with 4-5 partakers. Despite the McKnight Foundation, startups are often financed by Wonder Ventures, BoxGroup, NewWorld Capital Group LLC. The meaningful sponsors for the fund in investment in the same round are Wonder Ventures, ValueAct Capital, S2G Ventures. In the next rounds fund is usually obtained by Stonehenge Growth Capital, GAF.
Among the most popular portfolio startups of the fund, we may highlight Midwestern Bioag, PosiGen, Arcadia Power. Moreover, a startup needs to be at the age of 11-15 years to get the investment from the fund. Among the most popular fund investment industries, there are Farming, Solar. The fund has specific favorite in a number of founders of portfolio startups.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 0
- Investments by industry
- Energy (2)
- Clean Energy (2)
- Solar (2)
- Renewable Energy (2)
- Energy Efficiency (1) Show 12 more
- Investments by region
-
- United States (3)
- Peak activity year
- 2017
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
- 20
- 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 |
---|---|---|---|---|---|
Arcadia | 15 Aug 2018 | Software, Mobile, Machine Learning, Mobile Apps, Big Data, Construction, Augmented Reality, Computer, Energy, Renewable Energy, Solar, Clean Energy | Early Stage Venture | 25M | United States, District of Columbia, Washington |
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.