Genavent

Total investments

4

Average round size

17M

Portfolio companies

3

Follow on index

0.25

Exits

3

Areas of investment
BiotechnologyHealth CareEnterprise SoftwareMedicalData IntegrationLife SciencePharmaceuticalTherapeuticsConsultingAgriculture

Summary

The fund is generally included in less than 2 deals every year. The common things for fund are deals in the range of 5 - 10 millions dollars. The higher amount of exits for fund were in 2013. This Genavent works on 38 percentage points more the average amount of lead investments comparing to the other organizations. The high activity for fund was in 2006.

Among the most popular portfolio startups of the fund, we may highlight Amphora Discovery, E-Markets. Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund. Among the most popular fund investment industries, there are Pharmaceutical, Consulting.

The typical case for the fund is to invest in rounds with 6 participants. Despite the Genavent, startups are often financed by Venrock, MPM Capital, ARCH Venture Partners. The meaningful sponsors for the fund in investment in the same round are Venrock, MPM Capital, ARCH Venture Partners. In the next rounds fund is usually obtained by Versant Ventures, Venrock, MPM Capital.

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Investments analytics

Analytics

Total investments
4
Lead investments
0
Exits
3
Follow on index
0.25
Investments by industry
  • Pharmaceutical (3)
  • Biotechnology (3)
  • Data Integration (2)
  • Consulting (1)
  • Agriculture (1)
  • Show 6 more
Investments by region
  • United States (4)
Peak activity year
2006

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Quantitative data

Avg. startup age at the time of investment
23
Group Appearance index
1.00
Avg. company exit year
12

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
E-Markets 16 Aug 2000 Enterprise Software, Consulting, Agriculture Early Stage Venture 10M United States, Colorado
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.