Rouge River Capital

Total investments

1

Average round size

6M

Portfolio companies

1

Rounds per year

0.08

Areas of investment
Financial ServicesFinTechMobile Payments

Summary

The fund was located in North America if to be more exact in Canada. The leading representative office of defined VC is situated in the Aurora.

Among the most successful fund investment fields, there are FinTech, Mobile Payments. Among the most popular portfolio startups of the fund, we may highlight Dream Payments. Besides, a startup requires to be at the age of 1 and less years to receive the investment from the fund. For fund there is a match between the location of its establishment and the land of its numerous investments - Canada.

Besides them, we counted 2 critical employees of this fund in our database.

The fund is constantly included in less than 2 investment rounds annually. The top activity for fund was in 2015. The usual things for fund are deals in the range of 5 - 10 millions dollars.

The usual cause for the fund is to invest in rounds with 3 partakers. The meaningful sponsors for the fund in investment in the same round are Real Ventures, BlueSky Capital. In the next rounds fund is usually obtained by Connecticut Innovations, Real Ventures, Fair Ventures.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Rounds per year
0.08
Investments by industry
  • FinTech (1)
  • Mobile Payments (1)
  • Financial Services (1)
Investments by region
  • Canada (1)
Peak activity year
2015

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Quantitative data

Avg. startup age at the time of investment
7
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Dream Payments 26 Mar 2015 Financial Services, FinTech, Mobile Payments Early Stage Venture 6M Canada, Ontario, Old Toronto
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.