Cathay Life Insurance

Total investments

1

Average round size

38M

Portfolio companies

1

Rounds per year

0.02

Exits

1

Areas of investment
BiotechnologyHealth CarePharmaceutical

Summary

In 1962 was created Cathay Life Insurance, which is appeared as Corporate Investor. The fund was located in Asia if to be more exact in Taiwan. The main office of represented Corporate Investor is situated in the Taipei.

Among the various public portfolio startups of the fund, we may underline TaiGen Biotechnology For fund there is a match between the country of its foundation and the country of its the most frequent investments - Taiwan. Besides, a startup needs to be aged 2-3 years to get the investment from the fund. Among the most popular fund investment industries, there are Pharmaceutical, Biotechnology.

The top activity for fund was in 2004. Deals in the range of 10 - 50 millions dollars are the general things for fund. The fund is constantly included in less than 2 deals per year.

The usual cause for the fund is to invest in rounds with 7 partakers. The meaningful sponsors for the fund in investment in the same round are YFY Inc., Shin Kong Life Insurance, Major Series A. In the next rounds fund is usually obtained by YFY Inc., YFY Biotech Management Company, Taiwan Sugar Corporation.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Exits
1
Rounds per year
0.02
Investments by industry
  • Biotechnology (1)
  • Pharmaceutical (1)
  • Health Care (1)
Investments by region
  • Taiwan (1)
Peak activity year
2004

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Quantitative data

Avg. startup age at the time of investment
20
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
TaiGen Biotechnology 16 Mar 2004 Biotechnology, Health Care, Pharmaceutical Early Stage Venture 38M New Taipei, Taiwan
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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.