I-U-Go Ventures
2
6M
1
0.50
- Areas of investment
Summary
The venture was found in North America in Canada. The main department of described VC is located in the Montru00e9al.
The fund is generally included in less than 2 deals every year. The important activity for fund was in 2003. Deals in the range of 5 - 10 millions dollars are the general things for fund.
Among the most popular fund investment industries, there is Developer Tools. 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 Datacom. For fund there is a match between the country of its foundation and the country of its the most frequent investments - Canada.
The standard case for the fund is to invest in rounds with 2 partakers. Despite the I-U-Go Ventures, startups are often financed by Hu00e9lu00e8ne Desmarais, Emerge Capital, Cognicase. The meaningful sponsors for the fund in investment in the same round are Vimac Ventures, Investissement Desjardins. In the next rounds fund is usually obtained by Vimac Ventures, Investissement Desjardins.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 0
- Follow on index
- 0.50
- Investments by industry
- Developer Tools (2)
- Software (2)
- Investments by region
-
- Canada (2)
- Peak activity year
- 2003
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
- 22
- Group Appearance index
- 0.50
Need more data?
Get access to full data about investors, including their team, contact information, and historic data.
Latest deals
Company name | Deal date | Industry | Deal stage | Deal size | Location |
---|---|---|---|---|---|
Datacom | 09 Jul 2003 | Software, Developer Tools | Early Stage Venture | 5M | Canada, Quebec, Laval |
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.