Dutch Good Growth Fund

Total investments

6

Average round size

5M

Portfolio companies

4

Lead investments

3

Follow on index

0.33

Areas of investment
Financial ServicesFinTechOnline PortalsFinanceArtificial IntelligenceMachine LearningSmall and Medium BusinessesBankingLendingAgriculture

Summary

The standard case for the fund is to invest in rounds with 2-3 partakers. Despite the Dutch Good Growth Fund, startups are often financed by Quadia, Pymwymic, PDENH. The meaningful sponsors for the fund in investment in the same round are ABN AMRO Fund, SEED Capital, Ruta N. In the next rounds fund is usually obtained by Oikocredit International, IDB Lab, XPT Fund.

Among the various public portfolio startups of the fund, we may underline Sempli, Fairphone, Fairphone Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund. The fund has specific favorite in a number of founders of portfolio startups. We can highlight the next thriving fund investment areas, such as Small and Medium Businesses, Financial Services.

The fund is generally included in 2-6 deals every year. The high activity for fund was in 2018. The usual things for fund are deals in the range of 5 - 10 millions dollars. The real fund results show that this Corporate Investor is 40 percentage points more often commits exit comparing to other companies.

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Investments analytics

Analytics

Total investments
6
Lead investments
3
Follow on index
0.33
Investments by industry
  • Financial Services (5)
  • Small and Medium Businesses (3)
  • FinTech (3)
  • Lending (2)
  • Online Portals (2)
  • Show 10 more
Investments by region
  • Netherlands (1)
  • Colombia (2)
  • India (1)
  • Zambia (2)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
10
Avg. valuation at time of investment
2M
Group Appearance index
0.67

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Rent To Own Africa 10 Jul 2019 Financial Services, Agriculture Seed 1M Zambia, Lusaka, Lusaka
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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.