MP Pensjon

Status

Active

Location

Oslo, Norway

Total investments

13

Average round size

6M

Portfolio companies

13

Rounds per year

0.45

Areas of investment
SoftwareFinTechInformation TechnologySaaSMarketplaceCreditAgTechConsumer LendingPrice ComparisonLead Generation

Summary

In 1995 was created MP Pensjon, which is appeared as Corporate Investor. The venture was found in Europe in Norway. The leading representative office of defined Corporate Investor is situated in the Oslo.

The standard case for the fund is to invest in rounds with 1-2 partakers. Despite the MP Pensjon, startups are often financed by DNB. The meaningful sponsors for the fund in investment in the same round are DNB.

For fund there is a match between the country of its foundation and the country of its the most frequent investments - Norway. Among the most successful fund investment fields, there are Banking, Image Recognition. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Payr.

The fund is generally included in less than 2 deals every year. The high activity for fund was in 2018. The usual things for fund are deals in the range of 100 thousands - 1 million dollars.

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Investor highlights

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Investments analytics

Analytics

Total investments
13
Lead investments
0
Rounds per year
0.45
Investments by industry
  • Information Technology (3)
  • Software (3)
  • SaaS (3)
  • AgTech (2)
  • Marketplace (1)
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Investments by region
  • Norway (12)
  • Sweden (1)
Peak activity year
2024

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Quantitative data

Avg. startup age at the time of investment
7
Avg. valuation at time of investment
2M
Group Appearance index
0.85

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Pistachio 10 Aug 2023 SaaS, Cyber Security Seed 3M Oslo, Norway
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.