Sandoz Foundation
1
3M
1
- Areas of investment
Summary
The important activity for fund was in 2016. The usual things for fund are deals in the range of 1 - 5 millions dollars. The fund is constantly included in less than 2 deals per year.
Among the most popular portfolio startups of the fund, we may highlight Gamaya. We can highlight the next thriving fund investment areas, such as Artificial Intelligence, Big Data. Besides, a startup needs to be aged 2-3 years to get the investment from the fund.
The usual cause for the fund is to invest in rounds with 4 partakers. Despite the Sandoz Foundation, startups are often financed by Foundation for Technological Innovation (FIT). The meaningful sponsors for the fund in investment in the same round are VI Partners AG, Seed4Equity SA, Peter Letmathe. In the next rounds fund is usually obtained by ICOS Capital Management, VI Partners AG, Mahindra Rise.
Investments analytics
Analytics
- Total investments
- 1
- Lead investments
- 0
- Investments by industry
- Machine Learning (1)
- Agriculture (1)
- Robotics (1)
- Drones (1)
- AgTech (1) Show 2 more
- Investments by region
-
- Switzerland (1)
- 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
- 7
- 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 |
---|---|---|---|---|---|
Gamaya | 23 May 2016 | Artificial Intelligence, Machine Learning, Big Data, Robotics, Drones, AgTech, Agriculture | Early Stage Venture | 3M | Switzerland, Vaud |
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.