CNN
1
2M
1
0.02
- Areas of investment
Summary
CNN appeared to be the Corporate Investor, which was created in 1980. The main department of described Corporate Investor is located in the Atlanta. The company was established in North America in United States.
For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular portfolio startups of the fund, we may highlight Pathfire. Among the most popular fund investment industries, there are Media and Entertainment, Digital Entertainment. Besides, a startup requires to be at the age of 11-15 years to receive the investment from the fund.
The usual things for fund are deals in the range of 1 - 5 millions dollars. The important activity for fund was in 2007. The fund is constantly included in less than 2 deals per year.
The usual cause for the fund is to invest in rounds with 5 partakers. Despite the CNN, startups are often financed by U.S. Venture Partners (USVP), Riggs Capital Partners, Reuters Venture Capital. The meaningful sponsors for the fund in investment in the same round are Noro-Moseley Partners, Kinetic Ventures, Alliance Technology Ventures.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Rounds per year
- 0.02
- Investments by industry
- Media and Entertainment (1)
- Broadcasting (1)
- Digital Entertainment (1)
- Investments by region
-
- United States (1)
- Peak activity year
- 2007
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
- 25
- Group Appearance index
- 1.00
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.