Prudence Venture Investment Corporation

Total investments

4

Average round size

19M

Portfolio companies

3

Follow on index

0.25

Areas of investment
BiotechnologyManufacturingMedicalPharmaceuticalTherapeuticsElectronicsBiopharmaElectrical Distribution

Summary

Besides, a startup needs to be aged 6-10 years to get the investment from the fund. Among the most successful fund investment fields, there are Pharmaceutical, Biopharma. Among the most popular portfolio startups of the fund, we may highlight Medinox, Medinox.

The usual cause for the fund is to invest in rounds with 6 partakers. Despite the Prudence Venture Investment Corporation, startups are often financed by Taiwan Biotech, Industrial Bank of Taiwan, IBT Management Corporation. The meaningful sponsors for the fund in investment in the same round are Taiwan Biotech, Industrial Bank of Taiwan, IBT Management Corporation. In the next rounds fund is usually obtained by Taiwan Biotech, Industrial Bank of Taiwan, IBT Management Corporation.

The fund is generally included in less than 2 deals every year. The top activity for fund was in 2002. The usual things for fund are deals in the range of 10 - 50 millions dollars.

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Investments analytics

Analytics

Total investments
4
Lead investments
0
Follow on index
0.25
Investments by industry
  • Biopharma (3)
  • Biotechnology (2)
  • Therapeutics (2)
  • Electronics (1)
  • Manufacturing (1)
  • Show 3 more
Investments by region
  • United States (4)
Peak activity year
2002

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Quantitative data

Avg. startup age at the time of investment
21
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Bayhill Therapeutics 04 May 2005 Biotechnology, Therapeutics, Biopharma Early Stage Venture 35M United States, California
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.