SevenVentures
Venture Capital
Active
Unterföhring, Germany
58
18M
47
3.87
10
0.19
15
- Stages of investment
- Areas of investment
Summary
In 2009 was created SevenVentures, which is appeared as VC. The main department of described VC is located in the Unterfu00f6hring. The company was established in Europe in Germany. SevenVentures appeared to be a CVC structure as part of the corporation.
Opposing the other organizations, this SevenVentures works on 16 percentage points less the average amount of lead investments. The important activity for fund was in 2014. The typical startup value when the investment from SevenVentures is more than 1 billion dollars. The fund is constantly included in 2-6 deals per year. Deals in the range of 10 - 50 millions dollars are the general things for fund. The real fund results show that this VC is 7 percentage points less often commits exit comparing to other companies. The top amount of exits for fund were in 2019.
The standard case for the fund is to invest in rounds with 2-3 partakers. Despite the SevenVentures, startups are often financed by HV Holtzbrinck Ventures, Index Ventures, Dumont Venture. The meaningful sponsors for the fund in investment in the same round are German Media Pool, Ventech, Global Founders Capital. In the next rounds fund is usually obtained by HV Holtzbrinck Ventures, Winklevoss capital, OCCIDENT.
We also calculated 1 valuable employee in our database.
For fund there is a match between the country of its foundation and the country of its the most frequent investments - Germany. The fund has no exact preference in a number of founders of portfolio startups. In case when startup counts 5+ of the founder, the chance for it to get the investment is meager. We can highlight the next thriving fund investment areas, such as Retail, Fashion. Besides, a startup needs to be aged 6-10 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Jawbone, About You, TechStyle Fashion Group.
Investor highlights
- Industry focus
- Stage focus
- Check size
- 3M — 33M
Discover reliable insights
Find relevant VC investors, identify key contacts and secure funding opportunities.
Investments analytics
Analytics
- Total investments
- 58
- Lead investments
- 10
- Exits
- 15
- Rounds per year
- 3.87
- Follow on index
- 0.19
- Investments by industry
- E-Commerce (27)
- Retail (11)
- Consumer Electronics (8)
- Fashion (8)
- Internet (8) Show 75 more
- Investments by region
-
- Germany (45)
- United States (3)
- Austria (3)
- United Kingdom (1)
- Netherlands (1) Show 2 more
- Peak activity year
- 2014
- Number of Unicorns
- 1
- Number of Decacorns
- 1
- Number of Minotaurs
- 2
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
- 10
- Avg. valuation at time of investment
- 48M
- Group Appearance index
- 0.50
- Avg. company exit year
- 7
- Avg. multiplicator
- 0.29
- Strategy success index
- 0.70
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 |
---|---|---|---|---|---|
Easygenerator | 01 Jun 2013 | E-Learning, Education, CMS | Seed | 500K | Zuid-Holland, Rotterdam, The Netherlands |
Media Publisher | 23 May 2006 | Publishing, Internet, Software, Information Technology, SaaS, Social Media, Video | Early Stage Venture | 5M | United States, California, Berkeley |
refurbed | 05 Aug 2021 | E-Commerce, Software, Apps, Marketplace, Electronics | Early Stage Venture | 54M | Vienna, Austria |
TiNDLE | 22 Jun 2023 | Food and Beverage | Seed | Central Region, Singapore, Singapore |
Similar funds
By same location
By same geo focus
By doing lead investments
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.