Total investments

7

Average round size

1M

Portfolio companies

6

Follow on index

0.14

Exits

1

Areas of investment
BiotechnologySoftwareInformation TechnologyArtificial IntelligenceMachine LearningCloud InfrastructureDeveloper PlatformComputerNanotechnologySensor

Summary

The company was established in North America in Canada. The main office of represented VC is situated in the Waterloo.

Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund. Among the most popular fund investment industries, there are Mobile, Sensor. For fund there is a match between the location of its establishment and the land of its numerous investments - Canada. Among the most popular portfolio startups of the fund, we may highlight Nicoya Lifesciences.

Deals in the range of 1 - 5 millions dollars are the general things for fund. The top activity for fund was in 2018. The fund is constantly included in less than 2 deals per year.

The typical case for the fund is to invest in rounds with 5-6 participants. Despite the Laurier Start-up Fund, startups are often financed by MaRS Investment Accelerator Fund, Real Ventures, Mike Stork. The meaningful sponsors for the fund in investment in the same round are MaRS Investment Accelerator Fund, University of Waterloo, Garage Capital. In the next rounds fund is usually obtained by Radical Ventures, FedDev, BDC Capital.

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Investments analytics

Analytics

Total investments
7
Lead investments
0
Exits
1
Follow on index
0.14
Investments by industry
  • Information Technology (3)
  • Software (2)
  • Artificial Intelligence (2)
  • Machine Learning (2)
  • Developer Platform (2)
  • Show 19 more
Investments by region
  • Canada (7)
Peak activity year
2016

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Quantitative data

Avg. startup age at the time of investment
8
Group Appearance index
0.86
Avg. company exit year
3

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Nicoya Lifesciences 14 Jan 2020 Biotechnology, Developer Platform, Nanotechnology, Sensor Early Stage Venture 7M Ontario, Waterloo, 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.