Total investments

2

Average round size

231K

Portfolio companies

1

Rounds per year

0.09

Stages of investment
Early Stage Venture
Areas of investment
MobileOnline GamesMedia and Entertainment

Summary

The main department of described Corporate Investor is located in the Changsha. The company was established in Asia in China.

For fund there is a match between the location of its establishment and the land of its numerous investments - China. We can highlight the next thriving fund investment areas, such as Education, Internet. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight 7Net.

The standard case for the fund is to invest in rounds with 2 partakers. Despite the Chinese Media, startups are often financed by Xiaochang Shuimu Investment, Sinovation Ventures. The meaningful sponsors for the fund in investment in the same round are Sinovation Ventures. In the next rounds fund is usually obtained by Wanrong Capital, Sinovation Ventures, Shanghai SIIC Fund Management.

The top activity for fund was in 2016. Deals in the range of 5 - 10 millions dollars are the general things for fund. The fund is constantly included in less than 2 deals per year.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Rounds per year
0.09
Investments by industry
  • Online Games (1)
  • Mobile (1)
  • Media and Entertainment (1)
Investments by region
  • China (1)
Peak activity year
2015

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Quantitative data

Avg. startup age at the time of investment
6
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
IM30 01 Apr 2015 Mobile, Online Games, Media and Entertainment Seed 463K Beijing, Haidian District, China
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.