Total investments

2

Average round size

14M

Portfolio companies

2

Rounds per year

0.07

Areas of investment
AutomotiveE-CommerceB2BFood and BeverageElectronicsTrading PlatformSeafood

Summary

In 1992 was created Bird, which is appeared as Corporate Investor. The company was established in Asia in China. The main office of represented Corporate Investor is situated in the Fenghua.

Besides, a startup needs to be aged 2-3 years to get the investment from the fund. For fund there is a match between the location of its establishment and the land of its numerous investments - China. Among the most popular portfolio startups of the fund, we may highlight Haishangxian. Among the most popular fund investment industries, there are Computer, Automotive.

The typical case for the fund is to invest in rounds with 3-4 participants. The meaningful sponsors for the fund in investment in the same round are Zall Group, Vision Plus Capital, Sino Agri. In the next rounds fund is usually obtained by JiangSu QianRong Assets Management.

The fund is constantly included in less than 2 deals per year. The usual things for fund are deals in the range of 10 - 50 millions dollars. The top activity for fund was in 2018.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Rounds per year
0.07
Investments by industry
  • Seafood (1)
  • Food and Beverage (1)
  • B2B (1)
  • Trading Platform (1)
  • E-Commerce (1)
  • Show 2 more
Investments by region
  • China (2)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
7
Group Appearance index
0.50

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Tsingtech Microvision 01 Jun 2013 Automotive, Electronics Seed Jiangsu, Gusu 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.