Yellowdog

Total investments

6

Average round size

3M

Portfolio companies

4

Areas of investment
Food and BeverageFood ProcessingAppsMedicalElectronicsHospitalityBioinformaticsAgricultureConsumer ReviewsSeafood

Summary

The fund is generally included in less than 2 deals every year. The common things for fund are deals in the range of 1 - 5 millions dollars. The important activity for fund was in 2017.

Among the most popular fund investment industries, there are Hospitality, Apps. Among the most popular portfolio startups of the fund, we may highlight Stayes. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund.

The typical case for the fund is to invest in rounds with 5 participants. Despite the Yellowdog, startups are often financed by SparkLabs Global Ventures, SparkLabs Accelerator, Mousq angel club. The meaningful sponsors for the fund in investment in the same round are SJ Investment Partners, Purplelabs, Bon Angels Venture Partners. In the next rounds fund is usually obtained by Woomi construction corporation, SJ Investment Partners, SB Partners.

Show more

Investments analytics

Analytics

Total investments
6
Lead investments
0
Investments by industry
  • Medical (1)
  • Electronics (1)
  • Hospitality (1)
  • Consumer Reviews (1)
  • Apps (1)
  • Show 5 more
Investments by region
  • Singapore (1)
  • South Korea (3)
Peak activity year
2020

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
6
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
The PlantEat 30 Mar 2021 Food and Beverage, Bioinformatics, Agriculture Early Stage Venture 3M Kyonggi-do, Anyang, 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.