Gurtin Ventures

Total investments

10

Average round size

1M

Portfolio companies

9

Follow on index

0.10

Stages of investment
Early Stage Venture
Areas of investment
E-CommerceSoftwareInformation TechnologyHuman ResourcesFinanceArtificial IntelligenceMachine LearningBig DataPredictive AnalyticsNatural Language Processing

Summary

The standard case for the fund is to invest in rounds with 5 partakers. Despite the Gurtin Ventures, startups are often financed by Ontario Centres of Excellence, 500 Startups, Paul Olliver. The meaningful sponsors for the fund in investment in the same round are VYL LLC, Affinity Investment Group, Twin Ventures. In the next rounds fund is usually obtained by Visary Capital, TMT Investments, Plug and Play.

Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight XOR.ai, Accern. We can highlight the next thriving fund investment areas, such as SaaS, Life Insurance.

The average startup value when the investment from Gurtin Ventures is 10-50 millions dollars. The common things for fund are deals in the range of 1 - 5 millions dollars. The top activity for fund was in 2017. The fund is constantly included in less than 2 deals per year.

Besides them, we counted 1 critical employee of this fund in our database.

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Investments analytics

Analytics

Total investments
10
Lead investments
0
Follow on index
0.10
Investments by industry
  • Artificial Intelligence (5)
  • Machine Learning (3)
  • Information Technology (2)
  • E-Commerce (2)
  • Human Resources (1)
  • Show 21 more
Investments by region
  • United States (7)
  • Canada (2)
  • Singapore (1)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
5
Avg. valuation at time of investment
3M
Group Appearance index
0.90

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Take2.ai 16 Apr 2024 Recruiting, Marketplace, Employment Seed 3M United States, California, Los Altos

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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.