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Monterro

Total investments

3

Average round size

2M

Portfolio companies

3

Rounds per year

0.33

Lead investments

2

Areas of investment
SoftwareInformation TechnologySaaSEnterprise SoftwareCyber SecuritySecurityService IndustryDatabaseCloud SecurityIdentity Management

Summary

Monterro appeared to be the VC, which was created in 2012. The company was established in Europe in Sweden. The leading representative office of defined VC is situated in the Stockholm.

The fund is constantly included in less than 2 deals per year. Deals in the range of 5 - 10 millions dollars are the general things for fund. Speaking about the real fund results, this VC is 80 percentage points more often commits exit comparing to other organizations. The important activity for fund was in 2013.

This organization was formed by Peter Larsson, Thomas Bill.

For fund there is a match between the location of its establishment and the land of its numerous investments - Sweden. Among the most popular portfolio startups of the fund, we may highlight Axiomatics. Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund. Among the most successful fund investment fields, there are Cyber Security, Procurement.

The standard case for the fund is to invest in rounds with 1-2 partakers. The meaningful sponsors for the fund in investment in the same round are Coach & Capital, Almi Invest.

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Investments analytics

Analytics

Total investments
3
Lead investments
2
Rounds per year
0.33
Investments by industry
  • Software (2)
  • Information Technology (2)
  • Cyber Security (1)
  • Identity Management (1)
  • Database (1)
  • Show 7 more
Investments by region
  • Sweden (2)
  • United States (1)
Peak activity year
2015

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Quantitative data

Avg. startup age at the time of investment
20
Group Appearance index
0.33

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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.