GPG Ventures

Total investments

5

Average round size

15M

Portfolio companies

4

Follow on index

0.20

Exits

1

Areas of investment
BiotechnologySoftwareArtificial IntelligenceHealth CarePharmaceuticalTherapeuticsComputer

Summary

Among the most popular portfolio startups of the fund, we may highlight Hypergiant Sensory Sciences, Lantern Pharma. The fund has no exact preference in some founders of portfolio startups. Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund. We can highlight the next thriving fund investment areas, such as Alternative Medicine, Pharmaceutical.

The standard case for the fund is to invest in rounds with 3-4 partakers. Despite the GPG Ventures, startups are often financed by Health Wildcatters, Green Park & Golf Ventures. The meaningful sponsors for the fund in investment in the same round are Chris Rhodes, Capital Factory, Bios Partners.

Besides them, we counted 1 critical employee of this fund in our database.

The important activity for fund was in 2018. The fund is constantly included in less than 2 deals per year. The usual things for fund are deals in the range of 1 - 5 millions dollars.

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Investments analytics

Analytics

Total investments
5
Lead investments
0
Exits
1
Follow on index
0.20
Investments by industry
  • Artificial Intelligence (3)
  • Computer (2)
  • Software (2)
  • Therapeutics (2)
  • Biotechnology (2)
  • Show 2 more
Investments by region
  • United States (5)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
13
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Recuro Health 11 Apr 2023 Health Care Early Stage Venture 47M United States, Texas, Richardson
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.