Quad Capital
2
37M
2
1
1
- Areas of investment
Summary
The leading representative office of defined VC is situated in the New York. The fund was located in North America if to be more exact in United States.
Among the most popular portfolio startups of the fund, we may highlight Chancery Software, University Access. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the most successful fund investment fields, there are Information Technology, Business Information Systems. For fund there is no 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 5-6 partakers. The meaningful sponsors for the fund in investment in the same round are DHM Arcadia Partners, Ventures West, The Leeds Group.
The top activity for fund was in 2000. The fund is generally included in less than 2 deals every year. The top amount of exits for fund were in 2006. Deals in the range of 10 - 50 millions dollars are the general things for fund.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 1
- Exits
- 1
- Investments by industry
- Education (2)
- Information Technology (1)
- Business Information Systems (1)
- Universities (1)
- Information Services (1) Show 1 more
- Investments by region
-
- United States (1)
- Canada (1)
- Peak activity year
- 2000
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
- 23
- Group Appearance index
- 1.00
- Avg. company exit year
- 9
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 |
---|
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.