Opdorp Finance BVBA

Total investments

1

Average round size

5M

Portfolio companies

1

Rounds per year

0.11

Areas of investment
Information TechnologyInformation ServicesBusiness IntelligenceData IntegrationLife ScienceData Visualization

Summary

Opdorp Finance BVBA is the famous VC, which was founded in 2012.

The common things for fund are deals in the range of 1 - 5 millions dollars. The fund is constantly included in less than 2 deals per year. The important activity for fund was in 2018.

The standard case for the fund is to invest in rounds with 5 partakers. Despite the Opdorp Finance BVBA, startups are often financed by PMV, Limburgse Reconversie Maatschappij, imec.istart. The meaningful sponsors for the fund in investment in the same round are PMV, Luc Vauterin, Limburgse Reconversie Maatschappij.

Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight ONTOFORCE. Among the most popular fund investment industries, there are Business Intelligence, Data Integration.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
0.11
Investments by industry
  • Business Intelligence (1)
  • Life Science (1)
  • Information Technology (1)
  • Information Services (1)
  • Data Integration (1)
  • Show 1 more
Investments by region
  • Belgium (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
10
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
ONTOFORCE 25 Jan 2018 Information Technology, Information Services, Business Intelligence, Data Integration, Life Science, Data Visualization Early Stage Venture 5M Belgium, East Flanders, Ghent
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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.