MV Holding

Total investments

2

Average round size

9M

Portfolio companies

2

Exits

1

Areas of investment
SoftwareFinancial ServicesFinTechInformation TechnologyPaymentsMachine LearningEnterprise SoftwareComputer VisionComputerTransaction Processing

Summary

Besides them, we counted 2 critical employees of this fund in our database.

Deals in the range of 10 - 50 millions dollars are the general things for fund. The important activity for fund was in 2016. The average startup value when the investment from MV Holding is 50-100 millions dollars. The fund is constantly included in less than 2 investment rounds annually.

Among the most popular portfolio startups of the fund, we may highlight PayCore. Among the most popular fund investment industries, there are Information Technology, Financial Services.

The typical case for the fund is to invest in rounds with 2 participants. Despite the MV Holding, startups are often financed by Revo Capital. The meaningful sponsors for the fund in investment in the same round are Revo Capital. In the next rounds fund is usually obtained by Revo Capital.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Exits
1
Investments by industry
  • Software (2)
  • Information Technology (1)
  • Payments (1)
  • Transaction Processing (1)
  • Financial Services (1)
  • Show 6 more
Investments by region
  • Turkey (2)
Peak activity year
2016

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Quantitative data

Avg. startup age at the time of investment
13
Avg. valuation at time of investment
25M
Group Appearance index
0.50
Avg. company exit year
19
Avg. multiplicator
2.59

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
PayCore 06 Apr 2016 Software, Financial Services, FinTech, Information Technology, Payments, Transaction Processing Early Stage Venture 19M Turkey, Istanbul
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.