Pincus Capital Management
2
4M
2
- Areas of investment
Summary
The standard case for the fund is to invest in rounds with 10 partakers. Despite the Pincus Capital Management, startups are often financed by Vives Fund, R/GA Ventures, Nivelinvest. The meaningful sponsors for the fund in investment in the same round are R/GA Ventures, New Jersey Devils, Mike Dunleavy Jr.. In the next rounds fund is usually obtained by EASME - EU Executive Agency for SMEs.
The usual things for fund are deals in the range of 1 - 5 millions dollars. The important activity for fund was in 2017. The fund is generally included in less than 2 deals every year.
The overall number of key employees were 3.
Besides, a startup needs to be aged 4-5 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Keemotion. Among the most successful fund investment fields, there are iOS, Product Design.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 0
- Investments by industry
- B2B (1)
- E-Commerce (1)
- FinTech (1)
- Retail (1)
- Product Design (1) Show 3 more
- Investments by region
-
- Morocco (1)
- United States (1)
- Peak activity year
- 2021
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
- Avg. valuation at time of investment
- 32M
- 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 |
---|---|---|---|---|---|
Keemotion | 02 Aug 2017 | Product Design, Sports, iOS, Android | Early Stage Venture | 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.