TopTaiwan

Total investments

4

Average round size

12M

Portfolio companies

4

Lead investments

1

Exits

1

Areas of investment
BiotechnologyE-CommerceSoftwareInformation TechnologyArtificial IntelligenceMachine LearningHealth CareMedicalFashionPharmaceutical

Summary

The usual cause for the fund is to invest in rounds with 6 partakers. Despite the TopTaiwan, startups are often financed by Sagamore Bioventures, Morningside Group, Cenova Ventures. The meaningful sponsors for the fund in investment in the same round are Taya Ventures, Taiwan institutional funds, Milestone Capital China.

The higher amount of exits for fund were in 2018. The important activity for fund was in 2016. The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is generally included in less than 2 deals every year.

We can highlight the next thriving fund investment areas, such as Pharmaceutical, Biotechnology. Among the various public portfolio startups of the fund, we may underline ASLAN Pharmaceuticals Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund.

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Investments analytics

Analytics

Total investments
4
Lead investments
1
Exits
1
Investments by industry
  • Biotechnology (2)
  • Artificial Intelligence (1)
  • Software (1)
  • Machine Learning (1)
  • Pharmaceutical (1)
  • Show 5 more
Investments by region
  • Singapore (1)
  • Taiwan (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
5
Avg. valuation at time of investment
275M
Group Appearance index
1.00
Avg. company exit year
8
Avg. multiplicator
4.76

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
PopChill 21 May 2024 E-Commerce, Fashion Seed 15M Taipei, Taiwan
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.