Fielmann Ventures

Type

Venture Capital

Status

Active

Location

Hamburg, Germany

Total investments

5

Average round size

708K

Portfolio companies

4

Rounds per year

0.50

Lead investments

2

Follow on index

0.20

Exits

1

Areas of investment
Business/Productivity SoftwareBiotechnologyE-CommerceSoftwareRetailInformation TechnologyInformation ServicesEnterprise SoftwareLife ScienceAugmented Reality

Summary

Fielmann Ventures is the famous VC, which was founded in 2012. The main department of described VC is located in the Hamburg. The fund was located in Europe if to be more exact in Germany. Fielmann Ventures appeared to be a CVC structure as part of the corporation.

For fund there is no match between the country of its foundation and the country of its the most frequent investments - France. We can highlight the next thriving fund investment areas, such as Software, E-Commerce. Among the most popular portfolio startups of the fund, we may highlight FittingBox.

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Investor highlights

Industry focus
Consumer/RetailFashionHealthcare

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Investments analytics

Analytics

Total investments
5
Lead investments
2
Exits
1
Rounds per year
0.50
Follow on index
0.20
Investments by industry
  • Augmented Reality (4)
  • Software (3)
  • Retail (2)
  • Business/Productivity Software (2)
  • E-Commerce (2)
  • Show 12 more
Investments by region
  • Germany (2)
  • France (2)
  • Israel (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
11
Group Appearance index
0.20
Avg. company exit year
6

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Deep Optics 08 Nov 2022 Product Design, Augmented Reality, Virtual Reality, Consumer Electronics, Eyewear Late Stage Venture North District, Israel, Israel
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.