Le Peigne
2
8M
2
1
- Areas of investment
Summary
Among the most popular fund investment industries, there are Automotive, Analytics. Among the most popular portfolio startups of the fund, we may highlight Vimcar. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund.
The high activity for fund was in 2017. The fund is constantly included in less than 2 deals per year. Deals in the range of 5 - 10 millions dollars are the general things for fund.
The usual cause for the fund is to invest in rounds with 5-6 partakers. Despite the Le Peigne, startups are often financed by Groupe Arnault, btov Partners, Atlantic Labs. The meaningful sponsors for the fund in investment in the same round are Atlantic Labs, coparion, btov Partners. In the next rounds fund is usually obtained by coparion, Unternehmertum Venture Capital Partners, Atlantic Labs.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 0
- Exits
- 1
- Investments by industry
- Software (1)
- Business Intelligence (1)
- Automotive (1)
- SaaS (1)
- Transportation (1) Show 6 more
- Investments by region
-
- Germany (2)
- Peak activity year
- 2017
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
- 8
- Group Appearance index
- 1.00
- Avg. company exit year
- 7
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 |
|---|---|---|---|---|---|
| Campanda | 10 Jan 2017 | Rental, Marketplace, Travel, Tourism, Recreational Vehicles | Early Stage Venture | 11M | Berlin, Berlin, 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.