China Life Healthcare Fund

Total investments

8

Average round size

77M

Portfolio companies

7

Lead investments

2

Follow on index

0.12

Stages of investment
Early Stage Venture
Areas of investment
BiotechnologyArtificial IntelligenceHealth CareHealth DiagnosticsHospitalWellnessMedical DevicePharmaceutical

Summary

Among the most popular fund investment industries, there are Biotechnology, Artificial Intelligence. The fund has no exact preference in a number of founders of portfolio startups. Among the various public portfolio startups of the fund, we may underline XtalPi, Biocytogen Besides, a startup needs to be aged 6-10 years to get the investment from the fund.

Deals in the range of 50 - 100 millions dollars are the general things for fund. The fund is constantly included in less than 2 investment rounds annually. The important activity for fund was in 2019.

We also calculated 1 valuable employee in our database.

The typical case for the fund is to invest in rounds with 3-4 participants. Despite the China Life Healthcare Fund, startups are often financed by ZhenFund, Tencent Holdings, Sequoia Capital China. The meaningful sponsors for the fund in investment in the same round are Yael Capital Management Limited, SIG China (SIG Asia Investments), SDIC Venture Capital.

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Investments analytics

Analytics

Total investments
8
Lead investments
2
Follow on index
0.12
Investments by industry
  • Biotechnology (6)
  • Health Care (6)
  • Medical Device (3)
  • Pharmaceutical (1)
  • Artificial Intelligence (1)
  • Show 3 more
Investments by region
  • United States (5)
  • Canada (1)
  • China (2)
Peak activity year
2021
Number of Unicorns
1
Number of Decacorns
1

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Quantitative data

Avg. startup age at the time of investment
8
Avg. valuation at time of investment
356M
Group Appearance index
0.88

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Sepax Technologies 18 Mar 2021 Biotechnology Late Stage Venture 30M United States, Ohio, Delaware
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.