Xinyi Capital
11
2M
1
3.67
4
0.09
- Areas of investment
Summary
The main office of represented VC is situated in the Beijing. The company was established in Asia in China.
The fund is generally included in less than 2 deals every year. The top activity for fund was in 2018.
The usual cause for the fund is to invest in rounds with 2-3 partakers. Despite the Xinyi Capital, startups are often financed by Xiaomi, StarWin Capital, Shunwei Capital. The meaningful sponsors for the fund in investment in the same round are Panda Capital, Guiyang Venture Capital, Ally Capital.
Among the most popular portfolio startups of the fund, we may highlight Mi-Me Financial. For fund there is a match between the location of its establishment and the land of its numerous investments - China. Among the most successful fund investment fields, there are Education, Information Technology. Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund.
Investments analytics
Analytics
- Total investments
- 11
- Lead investments
- 4
- Rounds per year
- 3.67
- Follow on index
- 0.09
- Investments by industry
- Training (1)
- Education (1)
- Information Services (1)
- Investments by region
-
- China (1)
- Peak activity year
- 2018
Discover reliable insights
Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 7
- Group Appearance index
- 0.36
Need more data?
Get access to full data about investors, including their team, contact information, and historic data.
Latest deals
Company name | Deal date | Industry | Deal stage | Deal size | Location |
---|---|---|---|---|---|
CLEVER BANNEY | 15 Nov 2019 | Information Services, Training, Education | Early Stage Venture | 0 | China, Beijing, Dongcheng District |
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.