Somel Investments

Total investments

8

Average round size

5M

Portfolio companies

4

Lead investments

1

Follow on index

0.50

Areas of investment
SoftwareInformation TechnologyInformation ServicesArtificial IntelligenceMachine LearningNetwork SecurityData CenterElectronicsTelecommunicationsEmbedded Systems

Summary

The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the Somel Investments, startups are often financed by MBUZZ Investments, Griffin Partners, Inc., Fonds de solidaritu00e9 FTQ. The meaningful sponsors for the fund in investment in the same round are MBUZZ Investments, Fonds de solidaritu00e9 FTQ, Griffin Partners, Inc.. In the next rounds fund is usually obtained by MBUZZ Investments, Fonds de solidaritu00e9 FTQ.

Among the most popular portfolio startups of the fund, we may highlight Kaloom. Among the most popular fund investment industries, there are Information Technology, Information Services. Besides, a startup needs to be aged 2-3 years to get the investment from the fund.

Deals in the range of 10 - 50 millions dollars are the general things for fund. The high activity for fund was in 2017. The fund is constantly included in less than 2 investment rounds annually.

We also calculated 3 valuable employees in our database.

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Investments analytics

Analytics

Total investments
8
Lead investments
1
Follow on index
0.50
Investments by industry
  • Software (7)
  • Information Technology (5)
  • Artificial Intelligence (3)
  • Embedded Systems (3)
  • Machine Learning (3)
  • Show 7 more
Investments by region
  • Canada (8)
Peak activity year
2017

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Quantitative data

Avg. startup age at the time of investment
6
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Kaloom 24 Mar 2017 Software, Information Technology, Information Services, Data Center Early Stage Venture 10M Quebec, Montreal, Canada
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.