Datum AS
2
15M
1
0.29
1
0.50
1
- Stages of investment
- Areas of investment
Summary
The typical case for the fund is to invest in rounds with 4-5 participants. Despite the Datum AS, startups are often financed by Northzone, M12, Creandum. The meaningful sponsors for the fund in investment in the same round are Northzone, Microsoft, M12. In the next rounds fund is usually obtained by Northzone, Microsoft, Disney Accelerator.
Deals in the range of 10 - 50 millions dollars are the general things for fund. The typical startup value when the investment from Datum AS is 100-500 millions dollars. The important activity for fund was in 2018. The fund is generally included in less than 2 deals every year.
Among the various public portfolio startups of the fund, we may underline Kahoot! Among the most successful fund investment fields, there are Gaming, Mobile.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 1
- Exits
- 1
- Rounds per year
- 0.29
- Follow on index
- 0.50
- Investments by industry
- EdTech (2)
- Software (2)
- Mobile (2)
- Education (2)
- Gaming (2)
- Investments by region
-
- Norway (2)
- Peak activity year
- 2018
- Number of Unicorns
- 1
- Number of Decacorns
- 1
Discover reliable insights
Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 9
- Avg. valuation at time of investment
- 1B
- Group Appearance index
- 1.00
Need more data?
Get access to full data about investors, including their team, contact information, and historic data.
Latest deals
Company name | Deal date | Industry | Deal stage | Deal size | Location |
---|---|---|---|---|---|
Kahoot! | 10 Oct 2018 | Software, Mobile, Gaming, EdTech, Education | Early Stage Venture | 13M | Oslo, Norway |
Similar funds
By same location
By same geo focus
By doing lead investments
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.