Hosiden
1
4M
1
0.01
- Areas of investment
Summary
Hosiden appeared to be the Corporate Investor, which was created in 1947. The venture was found in Asia in Japan. The leading representative office of defined Corporate Investor is situated in the Yao.
Among the most successful fund investment fields, there are Software, Internet of Things. For fund there is no match between the country of its foundation and the country of its the most frequent investments - United States. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Wireless Glue Networks.
The top activity for fund was in 2013. The fund is constantly included in less than 2 investment rounds annually. The usual things for fund are deals in the range of 1 - 5 millions dollars.
The usual cause for the fund is to invest in rounds with 4 partakers. The meaningful sponsors for the fund in investment in the same round are Toko Electric, Innovation Network Corporation of Japan, Clean Pacific Ventures.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Rounds per year
- 0.01
- Investments by industry
- Software (1)
- Internet of Things (1)
- Investments by region
-
- United States (1)
- Peak activity year
- 2013
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
- 15
- 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 |
---|---|---|---|---|---|
Wireless Glue Networks | 21 Feb 2013 | Software, Internet of Things | Early Stage Venture | 4M | United States, California |
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.