Madison Capital Partners

Total investments

3

Portfolio companies

3

Rounds per year

0.10

Lead investments

1

Exits

2

Stages of investment
Private Equity
Areas of investment
Educational SoftwareSoftwareHealth CareCorporate TrainingEducationPharmaceuticalProfessional ServicesPublic RelationsCommunications InfrastructureLanguage Learning

Summary

Madison Capital Partners appeared to be the VC, which was created in 1994. The main department of described VC is located in the Chicago. The company was established in North America in United States.

The fund is generally included in less than 2 deals every year. The high activity for fund was in 2006. The higher amount of exits for fund were in 2009.

Among the various public portfolio startups of the fund, we may underline Rosetta Stone Among the most popular fund investment industries, there are Language Learning, Education. Moreover, a startup needs to be at the age of 11-15 years to get 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.

The typical case for the fund is to invest in rounds with 2-3 participants. The meaningful sponsors for the fund in investment in the same round are Svoboda Capital, Norwest Equity Partners (NEP), ABS Capital Partners.

We also calculated 4 valuable employees in our database.

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Investments analytics

Analytics

Total investments
3
Lead investments
1
Exits
2
Rounds per year
0.10
Investments by industry
  • Language Learning (1)
  • Educational Software (1)
  • Corporate Training (1)
  • Education (1)
  • Professional Services (1)
  • Show 5 more
Investments by region
  • United States (3)
Peak activity year
2006

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Quantitative data

Avg. startup age at the time of investment
27
Group Appearance index
1.00
Avg. company exit year
24

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Latest deals

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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.