Yidu Cloud

Total investments

2

Average round size

12M

Portfolio companies

2

Rounds per year

0.25

Lead investments

1

Areas of investment
InternetArtificial IntelligenceMachine LearningHealth CareRoboticsConsultingSmart HomeDiabetes

Summary

The main office of represented Corporate Investor is situated in the Beijing. The fund was located in Asia if to be more exact in China.

The usual cause for the fund is to invest in rounds with 2 partakers. Despite the Yidu Cloud, startups are often financed by Wu Jiong, Ameba Capital. The meaningful sponsors for the fund in investment in the same round are Tsinghua AI Fund, Matrix Partners China.

The fund is generally included in less than 2 deals every year. The high activity for fund was in 2016. Deals in the range of 10 - 50 millions dollars are the general things for fund.

Among the most popular fund investment industries, there are Consulting, Internet. Among the most popular portfolio startups of the fund, we may highlight Weitang. For fund there is a match between the location of its establishment and the land of its numerous investments - China. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund.

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Rounds per year
0.25
Investments by industry
  • Internet (1)
  • Health Care (1)
  • Consulting (1)
  • Diabetes (1)
  • Artificial Intelligence (1)
  • Show 3 more
Investments by region
  • United States (1)
  • China (1)
Peak activity year
2020

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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
Weitang 04 Jan 2016 Internet, Health Care, Consulting, Diabetes Early Stage Venture 10M China, Shanghai
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.