Time Folio Asset Management

Total investments

29

Average round size

15M

Portfolio companies

26

Lead investments

1

Follow on index

0.10

Areas of investment
BiotechnologySoftwareArtificial IntelligenceHealth CareManufacturingMedical DeviceLife SciencePharmaceuticalTherapeuticsBiopharma

Summary

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

The standard case for the fund is to invest in rounds with 4-5 partakers. The meaningful sponsors for the fund in investment in the same round are POSCO Venture Capital, Neoplux, Mirae Asset Venture Investment.

Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Fast Five. We can highlight the next thriving fund investment areas, such as Business Development, Local Business.

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Investments analytics

Analytics

Total investments
29
Lead investments
1
Follow on index
0.10
Investments by industry
  • Biotechnology (15)
  • Health Care (9)
  • Pharmaceutical (8)
  • Therapeutics (5)
  • Life Science (4)
  • Show 41 more
Investments by region
  • South Korea (26)
  • United States (3)
Peak activity year
2021

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
10M
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
DEEPX 20 May 2021 Information Technology, Artificial Intelligence, Internet of Things Early Stage Venture 17M Kyonggi-do, Seongnam, South Korea
MEZOO 07 Nov 2023 Health Care, Manufacturing, Medical Device Early Stage Venture 15M Kangwon-do, Wonju, South Korea
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.