Total investments

7

Average round size

41M

Portfolio companies

5

Follow on index

0.29

Areas of investment
SoftwareFinancial ServicesFinTechInformation TechnologyInformation ServicesFinanceMarketplaceCreditCommercial LendingAgriculture

Summary

Among the various public portfolio startups of the fund, we may underline Spire Global, CrossLend The fund has no exact preference in a number of founders of portfolio startups. Among the most popular fund investment industries, there are Finance, Analytics. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund.

The standard case for the fund is to invest in rounds with 4 partakers. Despite the The Luxembourg Future Fund, startups are often financed by Promus Ventures, RRE Ventures, Lemnos VC. The meaningful sponsors for the fund in investment in the same round are SolarisBank, Seraphim Capital, Promus Ventures. In the next rounds fund is usually obtained by Lakestar, Earlybird Venture Capital, ABN AMRO Bank.

We also calculated 2 valuable employees in our database.

The high activity for fund was in 2017. The real fund results show that this VC is 13 percentage points more often commits exit comparing to other companies. The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is generally included in less than 2 deals every year.

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Investments analytics

Analytics

Total investments
7
Lead investments
0
Follow on index
0.29
Investments by industry
  • Information Technology (4)
  • Marketplace (2)
  • Commercial Lending (2)
  • Finance (2)
  • Financial Services (2)
  • Show 14 more
Investments by region
  • Finland (1)
  • Canada (2)
  • United States (1)
  • Switzerland (1)
  • Germany (2)
Peak activity year
2017

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
0.86

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
ClearSpace 19 Jan 2023 Early Stage Venture 31M Switzerland, Vaud, Lausanne
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.