Howmedica

Total investments

1

Average round size

13M

Portfolio companies

1

Rounds per year

0.02

Exits

1

Areas of investment
BiotechnologyHealth CareMedical

Summary

Howmedica is the famous Corporate Investor, which was founded in 1970. The venture was found in North America in United States. The main department of described Corporate Investor is located in the Macon.

We can highlight the next thriving fund investment areas, such as Biotechnology, Medical. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund. Among the various public portfolio startups of the fund, we may underline Histogenics

The typical case for the fund is to invest in rounds with 2 participants. The meaningful sponsors for the fund in investment in the same round are Stryker. In the next rounds fund is usually obtained by Split Rock Partners, Sofinnova Investments, Foundation Medical Partners.

The usual things for fund are deals in the range of 10 - 50 millions dollars. The fund is constantly included in less than 2 deals per year. The important activity for fund was in 2006. The higher amount of exits for fund were in 2014.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Exits
1
Rounds per year
0.02
Investments by industry
  • Health Care (1)
  • Medical (1)
  • Biotechnology (1)
Investments by region
  • United States (1)
Peak activity year
2006

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Quantitative data

Avg. startup age at the time of investment
21
Group Appearance index
1.00
Avg. company exit year
19

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Histogenics 11 Aug 2006 Biotechnology, Health Care, Medical Early Stage Venture 13M United States, Massachusetts
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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.