Sunz Fund

Total investments

17

Average round size

8M

Portfolio companies

16

Rounds per year

1.06

Lead investments

3

Follow on index

0.06

Stages of investment
Early Stage Venture
Areas of investment
BiotechnologyHealth CareHealth DiagnosticsManufacturingMedicalLife SciencePharmaceuticalProject ManagementHardwareElectronics

Summary

Among the most successful fund investment fields, there are Electronics, Manufacturing. Among the various public portfolio startups of the fund, we may underline JMGO Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund.

The usual cause for the fund is to invest in rounds with 3 partakers. Despite the Sunz Fund, startups are often financed by StarVC, SkyChee Ventures, IDG Capital. The meaningful sponsors for the fund in investment in the same round are Stone Capital, Junsan Capital, GF Xinde Investment Management.

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

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Investments analytics

Analytics

Total investments
17
Lead investments
3
Rounds per year
1.06
Follow on index
0.06
Investments by industry
  • Health Care (7)
  • Medical (6)
  • Biotechnology (6)
  • Manufacturing (3)
  • Life Science (2)
  • Show 22 more
Investments by region
  • China (15)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
11
Avg. valuation at time of investment
13M
Group Appearance index
0.53
Strategy success index
0.40

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Apex.AI 15 Nov 2018 Automotive, Transportation, Software, Artificial Intelligence, Autonomous Vehicles, Operating Systems Early Stage Venture 15M United States, California, Palo Alto
SUNJAVA 05 Jun 2015 Enterprise, Medical, Product Design, Web Design, Web Development Early Stage Venture 1M Guangdong Province, Yuexiu District, China
Zhihe Biotechnology 20 May 2024 Biotechnology, Manufacturing, Chemical Seed Nanjing, Jiangsu, China

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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.