Kagoshima Bank
5
14M
4
0.03
2
0.20
- Areas of investment
Summary
The standard case for the fund is to invest in rounds with 5-6 partakers. Despite the Kagoshima Bank, startups are often financed by The Norinchukin Bank, Sumitomo Corporation, National Federation of Agricultural Cooperative Associations. The meaningful sponsors for the fund in investment in the same round are Shintaro Naganuma, Real Tech Fund, Leave a Nest Co., Ltd..
Among the most popular fund investment industries, there are Farming, Information Technology. Among the various public portfolio startups of the fund, we may underline Farmnote Besides, a startup requires to be at the age of 4-5 years to receive the investment from the fund.
The fund is generally included in less than 2 deals every year. The common things for fund are deals in the range of 1 - 5 millions dollars. The top activity for fund was in 2018.
Investments analytics
Analytics
- Total investments
- 5
- Lead investments
- 2
- Rounds per year
- 0.03
- Follow on index
- 0.20
- Investments by industry
- Agriculture (2)
- Farming (2)
- Food Processing (2)
- Food and Beverage (2)
- Internet of Things (1) Show 3 more
- Investments by region
-
- Japan (5)
- Peak activity year
- 2018
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
- 10
- Group Appearance index
- 0.60
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 |
---|---|---|---|---|---|
DAIZ | 11 Oct 2023 | Food and Beverage, Food Processing | Late Stage Venture | 64M | Kumamoto Prefecture, Kumamoto, Japan |
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.