MED-EL

Total investments

1

Average round size

10M

Portfolio companies

1

Rounds per year

0.03

Lead investments

1

Areas of investment
BiotechnologyEducationTherapeuticsEmergency Medicine

Summary

In 1989 was created MED-EL, which is appeared as Corporate Investor. The main office of represented Corporate Investor is situated in the Innsbruck. The fund was located in Europe if to be more exact in Austria.

For fund there is no match between the location of its establishment and the land of its numerous investments - Germany. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most popular fund investment industries, there are Emergency Medicine, Biotechnology. Among the most popular portfolio startups of the fund, we may highlight AudioCure Pharma.

The current fund was established by Erwin Hochmair, Ingeborg Hochmair.

The top activity for fund was in 2016. The fund is generally included in less than 2 deals every year. The usual things for fund are deals in the range of 5 - 10 millions dollars.

The typical case for the fund is to invest in rounds with 2 participants. Despite the MED-EL, startups are often financed by Ju00fcrgen Schumacher, High-Tech Gru00fcnderfonds. The meaningful sponsors for the fund in investment in the same round are High-Tech Gru00fcnderfonds.

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Investments analytics

Analytics

Total investments
1
Lead investments
1
Rounds per year
0.03
Investments by industry
  • Biotechnology (1)
  • Therapeutics (1)
  • Education (1)
  • Emergency Medicine (1)
Investments by region
  • Germany (1)
Peak activity year
2016

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Quantitative data

Avg. startup age at the time of investment
12
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
AudioCure Pharma 29 Nov 2016 Biotechnology, Education, Therapeutics, Emergency Medicine Early Stage Venture 10M Berlin, Berlin, 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.