Orkla Ventures

Type

Venture Capital

Status

Active

Location

Oslo, Norway

Total investments

13

Average round size

4M

Portfolio companies

8

Lead investments

3

Follow on index

0.38

Areas of investment
SoftwareFood and BeverageCleanTechmHealthOrganic FoodGamificationWaste ManagementEnvironmental ConsultingRecyclingBaby

Summary

The usual cause for the fund is to invest in rounds with 1 partaker. Despite the Orkla Ventures, startups are often financed by Smedvig Capital.

Among the most popular fund investment industries, there are Content Marketing, Artificial Intelligence. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline Your.MD

The fund is constantly included in less than 2 investment rounds annually. When the investment is from Orkla Ventures the average startup value is 1-5 millions dollars. The usual things for fund are deals in the range of 5 - 10 millions dollars. The important activity for fund was in 2017.

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Investor highlights

Industry focus
Consumer/Retail
Stage focus
Seed

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Investments analytics

Analytics

Total investments
13
Lead investments
3
Follow on index
0.38
Investments by industry
  • Gamification (4)
  • Recycling (4)
  • Environmental Consulting (4)
  • CleanTech (4)
  • Waste Management (4)
  • Show 32 more
Investments by region
  • United Kingdom (2)
  • Sweden (6)
  • Norway (5)
Peak activity year
2022

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
6M
Group Appearance index
0.54

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Bower 23 Mar 2022 CleanTech, Gamification, Waste Management, Environmental Consulting, Recycling Seed 4M Stockholm County, Stockholm, Sweden
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.