Total investments

25

Average round size

18M

Portfolio companies

17

Lead investments

2

Follow on index

0.32

Areas of investment
BiotechnologySoftwareFinancial ServicesFinTechAnalyticsRecruitingArtificial IntelligenceHealth CareEducationBilling

Summary

The standard case for the fund is to invest in rounds with 5-6 partakers. Despite the BDC Capitalu2019s Women in Technology Venture Fund, startups are often financed by Yaletown Partners, Real Ventures, Pen King. The meaningful sponsors for the fund in investment in the same round are iNovia Capital, Yaletown Partners, Toronto Innovation Acceleration Partners. In the next rounds fund is usually obtained by Atlantic Canada Opportunities Agency.

Deals in the range of 5 - 10 millions dollars are the general things for fund. The high activity for fund was in 2018. The fund is constantly included in 2-6 investment rounds annually.

Moreover, a startup needs to be at the age of more than 20 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline Eigen Innovations, Mejuri Among the most popular fund investment industries, there are Accounting, Software. The fund has no exact preference in a number of founders of portfolio startups.

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Investments analytics

Analytics

Total investments
25
Lead investments
2
Follow on index
0.32
Investments by industry
  • Software (12)
  • Financial Services (5)
  • FinTech (5)
  • Education (5)
  • Analytics (4)
  • Show 43 more
Investments by region
  • Canada (25)
Peak activity year
2020

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
0.92

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
ODAIA 01 May 2023 Software Early Stage Venture 25M Ontario, Old Toronto, Canada
01 Sep 2020 Sales, E-Learning, Recruiting, Higher Education, Training, Education, Professional Networking Seed 1M Ontario, Waterloo, Canada
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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.