Fair Ventures
3
7M
0
0.50
2
0.33
- Stages of investment
- Areas of investment
Summary
Besides them, we counted 6 critical employees of this fund in our database.
The standard case for the fund is to invest in rounds with 2-3 partakers. Despite the Fair Ventures, startups are often financed by VentureClash, Rouge River Capital, Real Ventures. The meaningful sponsors for the fund in investment in the same round are Real Ventures, Juan Carlos Mas, Connecticut Innovations. In the next rounds fund is usually obtained by VentureClash, Juan Carlos Mas, BaseCamp Equity Partners.
Considering the real fund results, this VC is 47 percentage points more often commits exit comparing to other organizations. Deals in the range of 5 - 10 millions dollars are the general things for fund. The important activity for fund was in 2019. The fund is generally included in less than 2 deals every year.
Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the various public portfolio startups of the fund, we may underline Dozr, Dream Payments The fund has no exact preference in a number of founders of portfolio startups. Among the most popular fund investment industries, there are Information Services, Software.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 2
- Rounds per year
- 0.50
- Follow on index
- 0.33
- Investments by region
-
- Canada (3)
- Peak activity year
- 2017
Discover reliable insights
Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 6
- Group Appearance index
- 0.33
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Latest deals
| Company name | Deal date | Industry | Deal stage | Deal size | Location |
|---|---|---|---|---|---|
| Dream Payments | 08 Mar 2017 | Financial Services, FinTech, Mobile Payments | Early Stage Venture | 7M | Canada, Ontario, Old Toronto |
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).
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