Gogin Capital
9
4M
8
0.33
0.11
- Areas of investment
Summary
Gogin Capital is the famous VC, which was founded in 1996.
Among the most popular fund investment industries, there are Web Development, Enterprise Applications. Among the most popular portfolio startups of the fund, we may highlight Monstar Lab. Besides, a startup needs to be aged 6-10 years to get the investment from the fund.
The important activity for fund was in 2016. 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 usual cause for the fund is to invest in rounds with 4-5 partakers. Despite the Gogin Capital, startups are often financed by Zenyaku Kogyo, SMBC Venture Capital, Pasona Tech. The meaningful sponsors for the fund in investment in the same round are Zenyaku Kogyo, San-in Godo Bank, Resona Capital. In the next rounds fund is usually obtained by Pegasus Tech Ventures, YJ Capital, Venture Labo Investment Co.,Ltd.
Investments analytics
Analytics
- Total investments
- 9
- Lead investments
- 0
- Rounds per year
- 0.33
- Follow on index
- 0.11
- Investments by industry
- Information Technology (3)
- Internet (3)
- Health Care (3)
- Pharmaceutical (3)
- Therapeutics (2) Show 24 more
- Investments by region
-
- Japan (9)
- Peak activity year
- 2016
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
- 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 |
---|---|---|---|---|---|
WAmazing | 04 Apr 2023 | Internet, Apps, Tourism | Late Stage Venture | 2M | Chiyoda, 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.