NorgesInvestor

Total investments

1

Average round size

27M

Portfolio companies

1

Rounds per year

0.04

Exits

1

Stages of investment
Private Equity
Areas of investment
BiotechnologyMedicalChemical

Summary

The venture was found in Europe in Norway. The main office of represented VC is situated in the Oslo.

For fund there is a match between the location of its establishment and the land of its numerous investments - Norway. Besides, a startup needs to be aged 6-10 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Algeta. We can highlight the next thriving fund investment areas, such as Chemical, Biotechnology.

The important activity for fund was in 2005. The common things for fund are deals in the range of 10 - 50 millions dollars. The higher amount of exits for fund were in 2007. The fund is generally included in less than 2 deals every year.

The typical case for the fund is to invest in rounds with 5 participants. The meaningful sponsors for the fund in investment in the same round are SR One, HealthCap, Advent Venture Partners. In the next rounds fund is usually obtained by Abingworth.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Exits
1
Rounds per year
0.04
Investments by industry
  • Medical (1)
  • Biotechnology (1)
  • Chemical (1)
Investments by region
  • Norway (1)
Peak activity year
2005
Number of Unicorns
1
Number of Decacorns
1

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Quantitative data

Avg. startup age at the time of investment
24
Avg. valuation at time of investment
2B
Group Appearance index
1.00
Strategy success index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Algeta 02 Sep 2005 Biotechnology, Medical, Chemical Early Stage Venture 27M 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.