Sanden
5
6M
4
0.06
2
0.20
- Areas of investment
Summary
In 1943 was created Sanden, which is appeared as Corporate Investor. The venture was found in Asia in Japan. The main department of described Corporate Investor is located in the Isesaki.
The standard case for the fund is to invest in rounds with 4-5 partakers. The meaningful sponsors for the fund in investment in the same round are Vatne Equity, Melesio Capital, LT Invest..
The top activity for fund was in 2018. The fund is constantly included in less than 2 investment rounds annually. Deals in the range of 1 - 5 millions dollars are the general things for fund.
Among the most popular portfolio startups of the fund, we may highlight Exabel. For fund there is no match between the location of its establishment and the land of its numerous investments - Norway. Among the most popular fund investment industries, there are Finance, FinTech. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund.
Investments analytics
Analytics
- Total investments
- 5
- Lead investments
- 2
- Rounds per year
- 0.06
- Follow on index
- 0.20
- Investments by industry
- Machine Learning (3)
- Artificial Intelligence (3)
- Software (2)
- Marketing (1)
- Internet of Things (1) Show 4 more
- Investments by region
-
- Norway (3)
- Japan (1)
- 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
- 7
- 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 |
|---|---|---|---|---|---|
| Memory | 22 Jun 2021 | Software, Artificial Intelligence, Machine Learning | Early Stage Venture | 13M | Oslo, Norway |
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.