Intretech

Total investments

4

Average round size

2M

Portfolio companies

4

Rounds per year

0.33

Lead investments

2

Areas of investment
SoftwareConsumer GoodsEnterpriseFitnessProduct DesignHardwareConsumer ElectronicsElectronicsDatabaseHome Services

Summary

Intretech appeared to be the Corporate Investor, which was created in 2011. The leading representative office of defined Corporate Investor is situated in the Xiamen. The company was established in Asia in China.

We can highlight the next thriving fund investment areas, such as Computer, Hardware. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. For fund there is a match between the country of its foundation and the country of its the most frequent investments - China. Among the most popular portfolio startups of the fund, we may highlight Townew.

The high activity for fund was in 2018. The fund is constantly included in less than 2 investment rounds annually. The common things for fund are deals in the range of 1 - 5 millions dollars.

The standard case for the fund is to invest in rounds with 1 partaker. Despite the Intretech, startups are often financed by JD.com, Ding Xiang Capital.

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Investments analytics

Analytics

Total investments
4
Lead investments
2
Rounds per year
0.33
Investments by industry
  • Software (2)
  • Hardware (2)
  • Enterprise (1)
  • Home Services (1)
  • Electronics (1)
  • Show 11 more
Investments by region
  • Canada (1)
  • China (3)
Peak activity year
2016

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Quantitative data

Avg. startup age at the time of investment
13
Avg. valuation at time of investment
2M
Group Appearance index
0.25

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Muse 11 Aug 2022 Software, Financial Services, FinTech, Fitness, Product Design, Hardware, Consumer Electronics, Financial Exchanges, Database Late Stage Venture 9M Ontario, Old Toronto, Canada
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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.