GU Equity Partners

Total investments

12

Average round size

11M

Portfolio companies

9

Follow on index

0.25

Exits

1

Areas of investment
BiotechnologyCosmeticsSoftwareArtificial IntelligenceMachine LearningHealth CareCloud ComputingPharmaceuticalSemiconductorInternet of Things

Summary

Among the most popular portfolio startups of the fund, we may highlight ExoCoBio. Among the most successful fund investment fields, there are Pharmaceutical, Cosmetics. Besides, a startup requires to be at the age of 1 and less years to receive the investment from the fund.

The typical case for the fund is to invest in rounds with 9 participants. Despite the GU Equity Partners, startups are often financed by SBI Investment, ID Ventures, Dt&Investment. The meaningful sponsors for the fund in investment in the same round are TS Investment, Seven Tree Equity Partners, Quantum Venture Partners.

The fund is generally included in less than 2 deals every year. The usual things for fund are deals in the range of 10 - 50 millions dollars. The high activity for fund was in 2018.

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Investments analytics

Analytics

Total investments
12
Lead investments
0
Exits
1
Follow on index
0.25
Investments by industry
  • Artificial Intelligence (7)
  • Machine Learning (6)
  • Software (5)
  • Semiconductor (5)
  • Biotechnology (2)
  • Show 12 more
Investments by region
  • South Korea (11)
  • United States (1)
Peak activity year
2021

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Quantitative data

Avg. startup age at the time of investment
5
Avg. valuation at time of investment
69M
Group Appearance index
1.00
Avg. company exit year
5

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
WIRobotics 27 Mar 2024 Robotics, Industrial Manufacturing Early Stage Venture 11M Ch'ungch'ong-namdo, Yongin, South Korea
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.