Rheinland-Pfalz Fonds
3
2M
3
1
1
- Stages of investment
- Areas of investment
Summary
Besides, a startup needs to be aged 2-3 years to get the investment from the fund. Among the most successful fund investment fields, there are Pharmaceutical, Privacy. Among the most popular portfolio startups of the fund, we may highlight Galantos Pharma, Phenex Pharmaceuticals.
The standard case for the fund is to invest in rounds with 2-3 partakers. Despite the Rheinland-Pfalz Fonds, startups are often financed by Leonardo Venture, High-Tech Gru00fcnderfonds. The meaningful sponsors for the fund in investment in the same round are KfW, Leonardo Venture, High-Tech Gru00fcnderfonds. In the next rounds fund is usually obtained by KfW, VRP Rhineland Palatinate Fund, Swiss Life Private Equity Partners.
The top activity for fund was in 2007. The increased amount of exits for fund were in 2015. Deals in the range of 1 - 5 millions dollars are the general things for fund. The fund is constantly included in less than 2 deals per year.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 1
- Exits
- 1
- Investments by industry
- Biotechnology (2)
- Biopharma (2)
- Pharmaceutical (2)
- Health Care (1)
- Cloud Data Services (1) Show 2 more
- Investments by region
-
- Germany (3)
- 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
- 15
- Avg. valuation at time of investment
- 156M
- Group Appearance index
- 1.00
- Avg. company exit year
- 13
- Avg. multiplicator
- 16.06
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 |
---|---|---|---|---|---|
Galantos Pharma | 06 Sep 2007 | Biotechnology, Health Care, Pharmaceutical, Biopharma | Early Stage Venture | 3M | Rhineland-Palatinate, Mainz, Germany |
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.