1
3M
1
0.01
1
- Areas of investment
Summary
New York Times Digital is the famous Corporate Investor, which was founded in 1851. The main office of represented Corporate Investor is situated in the New York. The venture was found in North America in United States.
The important activity for fund was in 2016. The fund is generally included in less than 2 deals every year. Deals in the range of 1 - 5 millions dollars are the general things for fund.
Among the various public portfolio startups of the fund, we may underline Scroll 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 fund investment industries, there are Consumer Goods, Social Media.
The standard case for the fund is to invest in rounds with 8 partakers. The meaningful sponsors for the fund in investment in the same round are Uncork Capital, The New York Times, Oreilly AlphaTech Ventures.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Exits
- 1
- Rounds per year
- 0.01
- Investments by industry
- Customer Service (1)
- Consumer Goods (1)
- Social Media (1)
- Publishing (1)
- News (1)
- Investments by region
-
- United States (1)
- Peak activity year
- 2016
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
- 1.00
- Avg. company exit year
- 5
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 |
|---|---|---|---|---|---|
| Scroll | 16 Nov 2016 | Publishing, Consumer Goods, News, Social Media, Customer Service | Seed | 3M | United States, New York, New York |
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.