Cloudstone Venture
3
8M
3
- Areas of investment
Summary
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 high activity for fund was in 2017.
The overall number of key employees were 1.
Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline Quantapore, Paragon Genomics The fund has specific favorite in a number of founders of portfolio startups. Among the most successful fund investment fields, there are Emergency Medicine, Health Care.
The standard case for the fund is to invest in rounds with 5 partakers. Despite the Cloudstone Venture, startups are often financed by China BioPharma Capital I. The meaningful sponsors for the fund in investment in the same round are Wisemont Capital, Tsingyuan Ventures, Sangel Biomedical Venture Capital.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 0
- Investments by industry
- Health Care (3)
- Biotechnology (2)
- Health Diagnostics (1)
- Medical Device (1)
- Medical (1) Show 2 more
- Investments by region
-
- United States (3)
- Peak activity year
- 2020
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
- 1.00
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 |
---|---|---|---|---|---|
Paragon Genomics | 12 Sep 2017 | Biotechnology, Information Technology, Health Care, Emergency Medicine | Early Stage Venture | 8M | United States, California, Hayward |
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.