Greentown Service Group

Total investments

2

Average round size

85M

Portfolio companies

2

Rounds per year

0.09

Lead investments

1

Areas of investment
Real EstateEducationMusicLeasing

Summary

In 1998 was created Greentown Service Group, which is appeared as Corporate Investor. The main department of described Corporate Investor is located in the Hangzhou. The fund was located in Asia if to be more exact in China.

Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. For fund there is a match between the country of its foundation and the country of its the most frequent investments - China. Among the various public portfolio startups of the fund, we may underline Uoko.com, Finger We can highlight the next thriving fund investment areas, such as Music, Leasing.

The standard case for the fund is to invest in rounds with 6-7 partakers. Despite the Greentown Service Group, startups are often financed by Legend Capital, Vision Plus Capital, SIG China (SIG Asia Investments). The meaningful sponsors for the fund in investment in the same round are XW Bank, Vision Plus Capital, Silicon Valley Bank.

The fund is generally included in less than 2 deals every year. The usual things for fund are deals in the range of 50 - 100 millions dollars. The high activity for fund was in 2018.

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Rounds per year
0.09
Investments by industry
  • Real Estate (1)
  • Leasing (1)
  • Education (1)
  • Music (1)
Investments by region
  • China (2)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Finger 10 Oct 2018 Education, Music Early Stage Venture 15M China, Zhejiang, Shangcheng 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.