Danaher

Total investments

2

Average round size

6M

Portfolio companies

2

Rounds per year

0.04

Lead investments

2

Exits

1

Areas of investment
SoftwareNon ProfitDental

Summary

Danaher appeared to be the Corporate Investor, which was created in 1969. The main department of described Corporate Investor is located in the Washington. The fund was located in North America if to be more exact in United States.

The top activity for fund was in 2004. The increased amount of exits for fund were in 2007. The fund is constantly included in less than 2 deals per year. The common things for fund are deals in the range of 10 - 50 millions dollars.

The usual cause for the fund is to invest in rounds with 3 partakers. The meaningful sponsors for the fund in investment in the same round are Vimac Ventures, American Bailey Ventures.

Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most successful fund investment fields, there are Software, Biotechnology. Among the most popular portfolio startups of the fund, we may highlight Atlantis Components. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States.

The current fund was established by Mitchell Rales, Steven Rales.

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Investments analytics

Analytics

Total investments
2
Lead investments
2
Exits
1
Rounds per year
0.04
Investments by industry
  • Dental (1)
  • Software (1)
  • Non Profit (1)
Investments by region
  • United States (2)
Peak activity year
2004

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Quantitative data

Avg. startup age at the time of investment
45
Group Appearance index
0.50
Avg. company exit year
11

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Atlantis Components 21 Sep 2004 Software, Dental Late Stage Venture 12M United States, Cambridge, Massachusetts
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.