Sailor Capital

Location

Beijing, China

Total investments

1

Average round size

20M

Portfolio companies

1

Areas of investment
SoftwareInformation TechnologyBlockchain

Summary

The fund was located in Asia if to be more exact in China. The main department of described VC is located in the Beijing.

Moreover, a startup needs to be at the age of 1 and less years to get 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 most popular fund investment industries, there are Blockchain, Software. Among the various public portfolio startups of the fund, we may underline Ultrain

We also calculated 3 valuable employees in our database.

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

The usual cause for the fund is to invest in rounds with 10 partakers. Despite the Sailor Capital, startups are often financed by Morningside Venture Capital, Hongtai Capital Holdings, Draper Dragon. The meaningful sponsors for the fund in investment in the same round are Spark Digital Capital, Sky9 Capital, OK Gang Capital.

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Investor highlights

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Investments by industry
  • Information Technology (1)
  • Blockchain (1)
  • Software (1)
Investments by region
  • China (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
5
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Ultrain 30 Jul 2018 Software, Information Technology, Blockchain Early Stage Venture 20M Zhejiang, Shangcheng 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.