Total investments

4

Average round size

8M

Portfolio companies

3

Lead investments

1

Follow on index

0.25

Exits

1

Areas of investment
GovernmentInternetSoftwareHealth CareSaaSCyber SecuritySecurityTelecommunicationsInternet of ThingsCloud Security

Summary

Among the most popular portfolio startups of the fund, we may highlight Aporeto. Among the most popular fund investment industries, there are Software, Government. Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund.

We also calculated 1 valuable employee in our database.

The typical case for the fund is to invest in rounds with 5 participants. Despite the Telia Ventures, startups are often financed by Wing Venture Capital, Data Collective DCVC, Norwest Venture Partners. The meaningful sponsors for the fund in investment in the same round are Wing Venture Capital, Norwest Venture Partners, National Grid Partners (NGP).

The usual things for fund are deals in the range of 10 - 50 millions dollars. The higher amount of exits for fund were in 2019. The fund is generally included in less than 2 deals every year. The top activity for fund was in 2019.

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Investments analytics

Analytics

Total investments
4
Lead investments
1
Exits
1
Follow on index
0.25
Investments by industry
  • Software (4)
  • Internet (3)
  • SaaS (2)
  • Telecommunications (2)
  • Internet of Things (2)
  • Show 9 more
Investments by region
  • United States (1)
  • Sweden (3)
Peak activity year
2020

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
50M
Group Appearance index
0.75
Avg. company exit year
4
Avg. multiplicator
4.35

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
IOT Communications 09 Jun 2021 Internet, Software, Health Care, SaaS, Telecommunications, Internet of Things Seed 2M 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.