Federal Government

Total investments

16

Average round size

8M

Portfolio companies

15

Lead investments

8

Follow on index

0.06

Exits

4

Areas of investment
AutomotiveBiotechnologyHealth CareMedicalTelecommunicationsConsultingEnergyRenewable EnergyNon ProfitOrganic Food

Summary

Among the most popular portfolio startups of the fund, we may highlight Ranovus, Canadian Independent Music Association. Among the most popular fund investment industries, there are Automotive, Renewable Energy. Besides, a startup needs to be aged 16-20 years to get the investment from the fund.

The typical case for the fund is to invest in rounds with 1 participant. Despite the Federal Government, startups are often financed by Sustainable Development Technology Canada, Starlight Ventures, Chrysalix Venture Capital. In the next rounds fund is usually obtained by Temasek Holdings, SET Ventures, PenderFund Capital Management.

The common things for fund are deals in the range of 10 - 50 millions dollars. The fund is constantly included in 2-6 deals per year. The high activity for fund was in 2019.

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Investments analytics

Analytics

Total investments
16
Lead investments
8
Exits
4
Follow on index
0.06
Investments by industry
  • Energy (4)
  • Biotechnology (3)
  • Renewable Energy (3)
  • Health Care (3)
  • Non Profit (2)
  • Show 21 more
Investments by region
  • Canada (12)
  • Australia (3)
  • United States (1)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
16
Group Appearance index
0.06
Avg. company exit year
16

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
SonicEnergy™ 15 Nov 2017 Hardware, Consumer Electronics, Internet of Things, Energy, Wireless Early Stage Venture 20M United States, California, Santa Monica
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.