Giant Rich Co., Ltd.
1
1M
1
- Areas of investment
Summary
The fund was located in Europe if to be more exact in United Kingdom. The leading representative office of defined Corporate Investor is situated in the London.
The usual cause for the fund is to invest in rounds with 5 partakers. The meaningful sponsors for the fund in investment in the same round are Younger Liang, Vectr, Jeremy Lu. In the next rounds fund is usually obtained by Seong Chen, SANSHIN ELECTRONIC CO., LTD..
Among the various public portfolio startups of the fund, we may underline JARVISH We can highlight the next thriving fund investment areas, such as Artificial Intelligence, Augmented Reality. For fund there is no match between the location of its establishment and the land of its numerous investments - Taiwan.
When the investment is from Giant Rich Co., Ltd. the average startup value is 1-5 millions dollars. The important activity for fund was in 2015. The usual things for fund are deals in the range of 1 - 5 millions dollars. The fund is constantly included in less than 2 deals per year.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Investments by industry
- Augmented Reality (1)
- Wearables (1)
- Internet of Things (1)
- Investments by region
-
- Taiwan (1)
- Peak activity year
- 2015
Discover reliable insights
Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 7
- Avg. valuation at time of investment
- 32M
- Group Appearance index
- 1.00
Need more data?
Get access to full data about investors, including their team, contact information, and historic data.
Latest deals
Company name | Deal date | Industry | Deal stage | Deal size | Location |
---|---|---|---|---|---|
JARVISH | 01 Jul 2015 | Augmented Reality, Internet of Things, Wearables | Seed | 1M | Taiwan, New Taipei |
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.