MetaBrand Capital

Total investments

3

Average round size

5M

Portfolio companies

2

Rounds per year

0.30

Lead investments

1

Follow on index

0.33

Exits

1

Areas of investment
E-CommerceFood ProcessingReal TimeAdvertisingBlockchainVideo GamesCoffeeTea

Summary

MetaBrand Capital is the famous VC, which was founded in 2012. The main department of described VC is located in the Edison. The company was established in North America in United States.

We also calculated 3 valuable employees in our database.

The fund is constantly included in less than 2 deals per year. Deals in the range of 5 - 10 millions dollars are the general things for fund. The top activity for fund was in 2014.

The usual cause for the fund is to invest in rounds with 1 partaker. In the next rounds fund is usually obtained by Steve Johnson, Marlon Wayans, Leonardo DiCaprio.

Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular fund investment industries, there are Tea, Coffee. Among the most popular portfolio startups of the fund, we may highlight Runa Tea.

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Investments analytics

Analytics

Total investments
3
Lead investments
1
Exits
1
Rounds per year
0.30
Follow on index
0.33
Investments by industry
  • Video Games (2)
  • Blockchain (2)
  • Food Processing (1)
  • E-Commerce (1)
  • Coffee (1)
  • Show 3 more
Investments by region
  • Spain (2)
  • United States (1)
Peak activity year
2021

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Quantitative data

Avg. startup age at the time of investment
6
Group Appearance index
0.67
Avg. company exit year
9

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Outer Ring 31 Dec 2021 Blockchain, Video Games Seed 6M Navarre, Noáin (Valle de Elorz)/Noain (Elortzibar), Spain
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.