Industrial Securities

Total investments

30

Average round size

88M

Portfolio companies

30

Rounds per year

0.97

Exits

26

Areas of investment
AutomotiveInternetSoftwareFinancial ServicesInformation TechnologyEducationManufacturingHardwareMedia and EntertainmentTV Production

Summary

We can highlight the next thriving fund investment areas, such as Automotive, Electric Vehicle. Besides, a startup needs to be aged 2-3 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline Leapmotor

The typical case for the fund is to invest in rounds with 8 participants. Despite the Industrial Securities, startups are often financed by Sequoia Capital China. The meaningful sponsors for the fund in investment in the same round are Shanghai Electric Group Corp, Sequoia Capital China, Hualing Investment.

Deals in the range of more than 100 millions dollars are the general things for fund. When the investment is from Industrial Securities the average startup value is 500 millions - 1 billion dollars. The top activity for fund was in 2018. The fund is constantly included in less than 2 deals per year.

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Investments analytics

Analytics

Total investments
30
Lead investments
0
Exits
26
Rounds per year
0.97
Investments by industry
  • Manufacturing (9)
  • Automotive (8)
  • Information Technology (5)
  • Software (5)
  • Internet (3)
  • Show 64 more
Investments by region
  • China (30)
Peak activity year
2016
Number of Unicorns
1
Number of Decacorns
1

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Quantitative data

Avg. startup age at the time of investment
16
Avg. valuation at time of investment
35M
Group Appearance index
0.93
Strategy success index
0.20

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Leapmotor 20 Nov 2018 Automotive, Manufacturing, Energy, Electric Vehicle Early Stage Venture 309M Zhejiang, Shangcheng District, China
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.