Dunamu
3
30M
3
1
- Areas of investment
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.
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
Discover reliable insights
Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 7
- Avg. valuation at time of investment
- 155M
- Group Appearance index
- 1.00
Need more data?
Get access to full data about investors, including their team, contact information, and historic data.
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 |
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.