VC Fonds Baden-Württemberg

Total investments

2

Average round size

3M

Portfolio companies

2

Areas of investment
AccountingSoftwareFinTechInformation TechnologyHealth CareSaaSSmall and Medium BusinessesRoboticsCloud ComputingWearables

Summary

The typical case for the fund is to invest in rounds with 3-4 participants. Despite the VC Fonds Baden-Wu00fcrttemberg, startups are often financed by SOSV, HAX, Start-Up Chile. The meaningful sponsors for the fund in investment in the same round are MBG Baden Wuerttemberg, Wecken & Cie., SOSV. In the next rounds fund is usually obtained by SOSV, HAX.

Among the various public portfolio startups of the fund, we may underline sevDesk Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. Among the most popular fund investment industries, there are Information Technology, Health Care.

The fund is generally included in less than 2 deals every year. Deals in the range of 1 - 5 millions dollars are the general things for fund. The important activity for fund was in 2017.

Show more

Investments analytics

Analytics

Total investments
2
Lead investments
0
Investments by industry
  • Information Technology (1)
  • FinTech (1)
  • Cloud Computing (1)
  • SaaS (1)
  • Accounting (1)
  • Show 5 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

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
Babybe 29 Aug 2016 Health Care, Robotics, Wearables Early Stage Venture Baden-Württemberg, Stuttgart, Germany
How we get our data

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.