Nau IB Capital

Total investments

59

Average round size

10M

Portfolio companies

45

Lead investments

1

Follow on index

0.24

Exits

1

Areas of investment
E-CommerceTransportationSoftwareInformation TechnologyArtificial IntelligenceFood and BeverageFood ProcessingHealth CareAppsManufacturing

Summary

The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is constantly included in less than 2 deals per year. The top activity for fund was in 2019.

Among the most popular portfolio startups of the fund, we may highlight Megazone Cloud. Moreover, a startup needs to be at the age of more than 20 years to get the investment from the fund. Among the most popular fund investment industries, there are Internet, Software.

The usual cause for the fund is to invest in rounds with 5 partakers. The meaningful sponsors for the fund in investment in the same round are National Pension Service, Korea Investment Holdings, Korea Development Bank.

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Investments analytics

Analytics

Total investments
59
Lead investments
1
Exits
1
Follow on index
0.24
Investments by industry
  • Information Technology (16)
  • Food and Beverage (14)
  • Software (9)
  • Health Care (9)
  • Artificial Intelligence (6)
  • Show 76 more
Investments by region
  • South Korea (56)
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
14M
Group Appearance index
0.93
Avg. company exit year
18

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Select Star 22 Aug 2022 Software, Information Technology, Artificial Intelligence, Database Early Stage Venture 7M Seoul, Seoul-t'ukpyolsi, South Korea
Wefun 26 Apr 2021 Food and Beverage, Snack Food Early Stage Venture 7M Seoul, Seoul-t'ukpyolsi, 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.