Holta Invest

Total investments

10

Average round size

4M

Portfolio companies

7

Rounds per year

0.08

Lead investments

1

Follow on index

0.30

Stages of investment
SeedEarly Stage Venture
Areas of investment
FinTechAnalyticsArtificial IntelligenceMachine LearningCloud ComputingBusiness DevelopmentAgTechAgricultureFarmingLivestock

Summary

The fund was located in Europe if to be more exact in Norway. The leading representative office of defined VC is situated in the Oslo.

The fund is constantly included in less than 2 deals per year. The top activity for fund was in 2018. The common things for fund are deals in the range of 1 - 5 millions dollars.

The typical case for the fund is to invest in rounds with 4-5 participants. The meaningful sponsors for the fund in investment in the same round are Vatne Equity, Sanden, Melesio Capital.

Among the most popular portfolio startups of the fund, we may highlight Exabel. For fund there is a match between the country of its foundation and the country of its the most frequent investments - Norway. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. We can highlight the next thriving fund investment areas, such as Cloud Computing, Finance.

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Investments analytics

Analytics

Total investments
10
Lead investments
1
Rounds per year
0.08
Follow on index
0.30
Investments by industry
  • Livestock (4)
  • Farming (4)
  • Business Development (4)
  • AgTech (4)
  • Agriculture (4)
  • Show 21 more
Investments by region
  • Norway (8)
  • Luxembourg (1)
  • Sweden (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
28
Group Appearance index
0.60

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Decisions 05 Sep 2018 Software, Computer Seed 1M Oslo, Norway

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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.