Niigata Venture Capital
25
1M
22
1.79
4
0.08
2
- Stages of investment
- Areas of investment
Summary
The usual things for fund are deals in the range of 1 - 5 millions dollars. The high activity for fund was in 2017. The fund is generally included in less than 2 deals every year.
Among the most popular portfolio startups of the fund, we may highlight Orb. Among the most successful fund investment fields, there are Information Technology, FinTech. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund.
The typical case for the fund is to invest in rounds with 1-2 participants. Despite the Niigata Venture Capital, startups are often financed by SBI Group, United, Shinsei Corporate Investment Limited. The meaningful sponsors for the fund in investment in the same round are Shinsei Bank, Real Tech Fund, Mitsui Sumitomo Insuarance Venture Capital. In the next rounds fund is usually obtained by Venture Labo Investment Co.,Ltd, Shinsei Bank, Real Tech Fund.
Investments analytics
Analytics
- Total investments
- 25
- Lead investments
- 4
- Exits
- 2
- Rounds per year
- 1.79
- Follow on index
- 0.08
- Investments by industry
- Software (4)
- Information Technology (4)
- Manufacturing (3)
- Web Development (2)
- Content (2) Show 49 more
- Investments by region
-
- Japan (24)
- 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
- 12
- Group Appearance index
- 0.44
- Avg. company exit year
- 12
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 |
---|---|---|---|---|---|
Meleap | 22 May 2024 | Apps, Augmented Reality | Late Stage Venture | Chiyoda, Japan |
Similar funds
By same location
By same geo focus
By doing lead investments
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.