Gfund

Total investments

3

Average round size

34M

Portfolio companies

3

Rounds per year

0.23

Areas of investment
InternetFood and BeverageFood ProcessingVideoMedia and EntertainmentSnack Food

Summary

In 2011 was created Gfund, which is appeared as VC. The leading representative office of defined VC is situated in the Beijing. The fund was located in Asia if to be more exact in China.

The common things for fund are deals in the range of more than 100 millions dollars. The important activity for fund was in 2018. The fund is constantly included in less than 2 deals per year.

The usual cause for the fund is to invest in rounds with 4 partakers. Despite the Gfund, startups are often financed by Zeus Entertainment, Shanghai New Culture Media Group, SAIF Partners. The meaningful sponsors for the fund in investment in the same round are Yintai Group, Jadex Capital, Baidu.

We can highlight the next thriving fund investment areas, such as Video, Media and Entertainment. Among the most popular portfolio startups of the fund, we may highlight Baidu Video. For fund there is a match between the location of its establishment and the land of its numerous investments - China.

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Investor highlights

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Investments analytics

Analytics

Total investments
3
Lead investments
0
Rounds per year
0.23
Investments by industry
  • Internet (1)
  • Media and Entertainment (1)
  • Video (1)
  • Food Processing (1)
  • Snack Food (1)
  • Show 1 more
Investments by region
  • China (1)
  • Germany (2)
Peak activity year
2023

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Quantitative data

Avg. startup age at the time of investment
4
Avg. valuation at time of investment
51M
Group Appearance index
0.67

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
SACLÀB 24 Feb 2023 Seed 1M Bayern, Munich, Germany
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.