Holley Group

Total investments

4

Average round size

9M

Portfolio companies

4

Rounds per year

0.08

Lead investments

1

Exits

1

Areas of investment
SoftwareFinancial ServicesFinTechInformation TechnologySalesPaymentsMobile PaymentsRoboticsManufacturingVirtual Reality

Summary

Holley Group is the famous Corporate Investor, which was founded in 1970. The venture was found in Asia in China. The main department of described Corporate Investor is located in the Hangzhou.

The usual cause for the fund is to invest in rounds with 1 partaker.

We can highlight the next thriving fund investment areas, such as Information Technology, Blockchain. Besides, a startup requires to be at the age of 1 and less years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Everex. For fund there is no match between the country of its foundation and the country of its the most frequent investments - Singapore.

The top activity for fund was in 2017. The fund is constantly included in less than 2 investment rounds annually. Deals in the range of 100 thousands - 1 million dollars are the general things for fund.

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Investments analytics

Analytics

Total investments
4
Lead investments
1
Exits
1
Rounds per year
0.08
Investments by industry
  • Virtual Reality (1)
  • Software (1)
  • Sales (1)
  • Manufacturing (1)
  • Robotics (1)
  • Show 10 more
Investments by region
  • China (3)
  • Singapore (1)
Peak activity year
2017

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Quantitative data

Avg. startup age at the time of investment
8
Avg. valuation at time of investment
1M
Group Appearance index
0.75

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Chuangjian Medical 10 Aug 2022 Biotechnology, Medical, Biopharma Early Stage Venture 30M Zhejiang, Changzhou, 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.