eVenture Capital Partners

Total investments

2

Average round size

1M

Portfolio companies

2

Rounds per year

0.08

Lead investments

1

Exits

2

Stages of investment
Early Stage Venture
Areas of investment
E-CommerceRetail3D TechnologyShopping

Summary

In 1997 was created eVenture Capital Partners, which is appeared as VC. The leading representative office of defined VC is situated in the San Francisco. The venture was found in North America in United States.

We also calculated 9 valuable employees in our database.

Among the most popular portfolio startups of the fund, we may highlight mydeco. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. Among the most popular fund investment industries, there are E-Commerce, 3D Technology. For fund there is no match between the country of its foundation and the country of its the most frequent investments - United Kingdom.

The fund is constantly included in less than 2 deals per year. The increased amount of exits for fund were in 2015. The high activity for fund was in 2011.

The usual cause for the fund is to invest in rounds with 1 partaker. Despite the eVenture Capital Partners, startups are often financed by e.ventures, Sofinnova Partners, Kite Ventures.

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Exits
2
Rounds per year
0.08
Investments by industry
  • E-Commerce (2)
  • 3D Technology (1)
  • Retail (1)
  • Shopping (1)
Investments by region
  • Russia (1)
  • United Kingdom (1)
Peak activity year
2010

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Quantitative data

Avg. startup age at the time of investment
13
Group Appearance index
0.50
Avg. company exit year
7

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Sapato.ru 01 Jan 2010 E-Commerce, Retail, Shopping Early Stage Venture 3M Moscow, Russia

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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.