NJJ Capital
3
9M
3
0.23
1
- Areas of investment
Summary
The usual cause for the fund is to invest in rounds with more than 10 partakers. The meaningful sponsors for the fund in investment in the same round are Xavier Niel, Tony Jamous, Solomon Hykes. In the next rounds fund is usually obtained by Xavier Niel, Jerry Murdock, Idinvest Partners.
We also calculated 1 valuable employee in our database.
Deals in the range of 10 - 50 millions dollars are the general things for fund. The important activity for fund was in 2016. The increased amount of exits for fund were in 2017. The fund is constantly included in less than 2 deals per year.
Among the most popular portfolio startups of the fund, we may highlight Zenly. Besides, a startup requires to be at the age of 1 and less years to receive the investment from the fund. We can highlight the next thriving fund investment areas, such as Android, Apps.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 0
- Exits
- 1
- Rounds per year
- 0.23
- Investments by industry
- Software (1)
- Apps (1)
- Computer (1)
- Real Time (1)
- Android (1) Show 4 more
- Investments by region
-
- France (2)
- Ecuador (1)
- Peak activity year
- 2022
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
- 12
- Avg. valuation at time of investment
- 71M
- Group Appearance index
- 0.67
- Avg. company exit year
- 6
- Avg. multiplicator
- 5.96
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 |
---|---|---|---|---|---|
PIXmania.com | 14 Mar 2022 | E-Commerce, Photography | Seed | 12M | Guayas, España, Ecuador |
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.