Ez Capital Funding

Total investments

2

Average round size

4M

Portfolio companies

2

Stages of investment
Early Stage Venture
Areas of investment
E-CommerceRetailEnterprise SoftwareInnovation Management

Summary

The venture was found in North America in United States. The leading representative office of defined VC is situated in the New York.

Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. We can highlight the next thriving fund investment areas, such as Enterprise Software, Innovation Management. Among the most popular portfolio startups of the fund, we may highlight Quwan.com. For fund there is no match between the country of its foundation and the country of its the most frequent investments - China.

The usual cause for the fund is to invest in rounds with 2 partakers. Despite the Ez Capital Funding, startups are often financed by Matrix Partners China, Bertelsmann Asia Investments. The meaningful sponsors for the fund in investment in the same round are Trustbridge Partners, Matrix Partners China.

The top activity for fund was in 2010. The fund is constantly included in less than 2 deals per year. The common things for fund are deals in the range of 5 - 10 millions dollars.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Investments by industry
  • Innovation Management (1)
  • Retail (1)
  • E-Commerce (1)
  • Enterprise Software (1)
Investments by region
  • China (2)
Peak activity year
2010

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Quantitative data

Avg. startup age at the time of investment
12
Group Appearance index
0.50

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Quwan.com 01 Sep 2010 E-Commerce, Retail, Innovation Management Early Stage Venture 8M China, Beijing, Dongcheng District

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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.