Venture Technologies

Total investments

1

Average round size

6M

Portfolio companies

1

Rounds per year

0.03

Areas of investment
InternetCommunitiesSocial NetworkProfessional Networking

Summary

In 1986 was created Venture Technologies, which is appeared as VC. The company was established in North America in United States. The main department of described VC is located in the Ridgeland.

The current fund was established by Norman Katool. Besides them, we counted 3 critical employees of this fund in our database.

Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the various public portfolio startups of the fund, we may underline Viadeo For fund there is no match between the country of its foundation and the country of its the most frequent investments - France. Among the most popular fund investment industries, there are Social Network, Internet.

The fund is constantly included in less than 2 investment rounds annually. The important activity for fund was in 2007. The usual things for fund are deals in the range of 5 - 10 millions dollars.

The standard case for the fund is to invest in rounds with 3 partakers. Despite the Venture Technologies, startups are often financed by Ventech, Idinvest Partners. The meaningful sponsors for the fund in investment in the same round are Ventech, Idinvest Partners. In the next rounds fund is usually obtained by Ventech, Idinvest Partners, French Sovereign Wealth Fund.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
0.03
Investments by industry
  • Internet (1)
  • Professional Networking (1)
  • Communities (1)
  • Social Network (1)
Investments by region
  • France (1)
Peak activity year
2007

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Quantitative data

Avg. startup age at the time of investment
17
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Viadeo 01 Aug 2007 Internet, Communities, Social Network, Professional Networking Early Stage Venture 6M Ile-de-France, Paris, France
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.