Argonaut Investments

Total investments

1

Average round size

3M

Portfolio companies

1

Rounds per year

0.03

Lead investments

1

Areas of investment
SoftwareBusiness Intelligence

Summary

Argonaut Investments is the famous VC, which was founded in 1992. The leading representative office of defined VC is situated in the Corte Madera. The fund was located in North America if to be more exact in United States.

This organization was formed by Jonathan Lefferts, Stephen B. Jaeger. We also calculated 2 valuable employees in our database.

The usual things for fund are deals in the range of 1 - 5 millions dollars. The fund is constantly included in less than 2 deals per year. The important activity for fund was in 2008.

For fund there is no match between the location of its establishment and the land of its numerous investments - India. We can highlight the next thriving fund investment areas, such as Business Intelligence, Software. Among the most popular portfolio startups of the fund, we may highlight eYantra Industries. Besides, a startup needs to be aged 6-10 years to get the investment from the fund.

The typical case for the fund is to invest in rounds with 2 participants. The meaningful sponsors for the fund in investment in the same round are VenturEast. In the next rounds fund is usually obtained by Argonaut Private Equity.

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Investments analytics

Analytics

Total investments
1
Lead investments
1
Rounds per year
0.03
Investments by industry
  • Business Intelligence (1)
  • Software (1)
Investments by region
  • India (1)
Peak activity year
2008

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Quantitative data

Avg. startup age at the time of investment
20
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
eYantra Industries 14 Oct 2008 Software, Business Intelligence Early Stage Venture 3M India, Andhra Pradesh
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.