Missouri Soybean

Total investments

1

Average round size

3M

Portfolio companies

1

Rounds per year

0.02

Areas of investment
BiotechnologyIncubatorsAgTechAgriculture

Summary

Missouri Soybean is the famous Corporate Investor, which was founded in 1966. The leading representative office of defined Corporate Investor is situated in the Jefferson City. The fund was located in North America if to be more exact in United States.

Among the most popular portfolio startups of the fund, we may highlight ZeaKal. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. For fund there is a match between the location of its establishment and the land of its numerous investments - United States. Among the most popular fund investment industries, there are Biotechnology, Incubators.

The top activity for fund was in 2013. The fund is generally included in less than 2 deals every year. Deals in the range of 1 - 5 millions dollars are the general things for fund.

The usual cause for the fund is to invest in rounds with 4 partakers. The meaningful sponsors for the fund in investment in the same round are Two Oceans, Kapyon Ventures, Finistere Ventures. In the next rounds fund is usually obtained by Middleland Capital, Finistere Ventures, Canopy Rivers.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
0.02
Investments by industry
  • Incubators (1)
  • AgTech (1)
  • Biotechnology (1)
  • Agriculture (1)
Investments by region
  • United States (1)
Peak activity year
2013

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Quantitative data

Avg. startup age at the time of investment
11
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
ZeaKal 26 Mar 2013 Biotechnology, Incubators, AgTech, Agriculture Early Stage Venture 3M United States, California, San Diego
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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.