InfoLogix

Total investments

1

Average round size

5M

Portfolio companies

1

Rounds per year

0.05

Exits

1

Areas of investment
BiotechnologySoftwareInformation Technology

Summary

InfoLogix is the famous Corporate Investor, which was founded in 2001. The leading representative office of defined Corporate Investor is situated in the Hatboro. The fund was located in North America if to be more exact in United States.

Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular fund investment industries, there are Biotechnology, Information Technology. Among the various public portfolio startups of the fund, we may underline ETrials Worldwide

The usual things for fund are deals in the range of 5 - 10 millions dollars. The top activity for fund was in 2004. The fund is constantly included in less than 2 investment rounds annually. The increased amount of exits for fund were in 2009.

The fund was created by David Gulian, Richard Hodge.

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 Prodea, Newlight Management.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Exits
1
Rounds per year
0.05
Investments by industry
  • Information Technology (1)
  • Software (1)
  • Biotechnology (1)
Investments by region
  • United States (1)
Peak activity year
2004

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Quantitative data

Avg. startup age at the time of investment
22
Group Appearance index
1.00
Avg. company exit year
10

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
ETrials Worldwide 14 Jan 2004 Biotechnology, Software, Information Technology Early Stage Venture 5M United States, North Carolina
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.