Dunamu

Total investments

3

Average round size

30M

Portfolio companies

3

Lead investments

1

Areas of investment
SoftwareFinancial ServicesInformation TechnologySmall and Medium BusinessesBig DataBusiness IntelligenceCredit BureauBlockchainManagement Information SystemsConsumer Reviews

Summary

Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the most popular fund investment industries, there are FinTech, Cryptocurrency. The fund has exact preference in a number of founders of portfolio startups. Among the most popular portfolio startups of the fund, we may highlight Korea Credit Data, Terra.

The common things for fund are deals in the range of 10 - 50 millions dollars. The top activity for fund was in 2018. The fund is constantly included in less than 2 investment rounds annually.

The typical case for the fund is to invest in rounds with 6-7 participants. Despite the Dunamu, startups are often financed by Korea Tech Incubator Program For Startup, Kisik Bae, Kenetic. The meaningful sponsors for the fund in investment in the same round are Translink Capital, Struck Capital Crypto, Shinhan Card. In the next rounds fund is usually obtained by LuneX Ventures, ICONIUM.

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Investments analytics

Analytics

Total investments
3
Lead investments
1
Investments by industry
  • Financial Services (3)
  • Blockchain (2)
  • Consumer Reviews (1)
  • Small and Medium Businesses (1)
  • Information Technology (1)
  • Show 7 more
Investments by region
  • South Korea (3)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
7
Avg. valuation at time of investment
155M
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Lambda256 15 Dec 2021 Financial Services, FinTech, Blockchain Early Stage Venture 60M 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.