Link-age Ventures

Total investments

3

Average round size

5M

Portfolio companies

3

Rounds per year

0.13

Lead investments

1

Areas of investment
GovernmentInformation TechnologyConsumerHealth CareSaaSMedical DeviceNational SecurityAssociationRehabilitation

Summary

Link-age Ventures is the famous VC, which was founded in 2001. The main department of described VC is located in the Mason. The venture was found in North America in United States.

We can highlight the next thriving fund investment areas, such as National Security, Consumer. Among the most popular portfolio startups of the fund, we may highlight IncludeHealth. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. For fund there is a match between the location of its establishment and the land of its numerous investments - United States.

The standard case for the fund is to invest in rounds with 2 partakers. Despite the Link-age Ventures, startups are often financed by Rev1 Ventures, ECOTAF, Accelerant. The meaningful sponsors for the fund in investment in the same round are CincyTech, Accelerant.

Deals in the range of 1 - 5 millions dollars are the general things for fund. The high activity for fund was in 2015. The fund is constantly included in less than 2 deals per year.

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Investments analytics

Analytics

Total investments
3
Lead investments
1
Rounds per year
0.13
Investments by industry
  • Health Care (2)
  • Government (1)
  • National Security (1)
  • Association (1)
  • Consumer (1)
  • Show 4 more
Investments by region
  • China (1)
  • United States (2)
Peak activity year
2012

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Quantitative data

Avg. startup age at the time of investment
9
Group Appearance index
0.67

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Qinhao Pharmaceutical 20 Feb 2022 Early Stage Venture 15M Jiangsu, Suzhou, China
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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.