F&S Capital
2
1M
2
1
- 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 2018. The fund is constantly included in less than 2 investment rounds annually.
Among the most successful fund investment fields, there are Health Diagnostics, Health Care. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight PhotoniCare.
We also calculated 2 valuable employees in our database.
The standard case for the fund is to invest in rounds with 5 partakers. Despite the F&S Capital, startups are often financed by Illinois Ventures, Dreamit Ventures. The meaningful sponsors for the fund in investment in the same round are VisionTech Partners, Julz, Innovation In Motion. In the next rounds fund is usually obtained by National Institute of Deafness & Communications Disorders (NIDCD).
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 1
- Investments by industry
- Medical Device (2)
- Health Care (2)
- Medical (1)
- Health Diagnostics (1)
- Diagnostic Equipment (1)
- Investments by region
-
- United States (2)
- Peak activity year
- 2020
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
- Avg. valuation at time of investment
- 3M
- 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 |
|---|---|---|---|---|---|
| PhotoniCare | 06 Mar 2018 | Diagnostic Equipment, Health Care, Health Diagnostics, Medical Device | Seed | 2M | United States, Illinois, Champaign |
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.