AMED Ventures
19
37M
12
0.37
- Areas of investment
Summary
Besides, a startup needs to be aged 6-10 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline Tioga Medical Among the most popular fund investment industries, there are Health Care, Medical Device.
The typical case for the fund is to invest in rounds with 4 participants. Despite the AMED Ventures, startups are often financed by Medvance Incubator Partners, The Capital Partnership, Rising Tide. The meaningful sponsors for the fund in investment in the same round are The Capital Partnership, Shangby, Shangbay Capital.
Besides them, we counted 2 critical employees of this fund in our database.
The fund is generally included in 2-6 deals every year. The usual things for fund are deals in the range of 10 - 50 millions dollars. The high activity for fund was in 2019.
Investments analytics
Analytics
- Total investments
- 19
- Lead investments
- 0
- Follow on index
- 0.37
- Investments by industry
- Health Care (16)
- Medical Device (16)
- Medical (11)
- Biotechnology (6)
- Commercial (2) Show 4 more
- Investments by region
-
- United States (19)
- Peak activity year
- 2023
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
- 0.89
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 |
|---|---|---|---|---|---|
| Akura Medical | 03 Oct 2023 | Health Care, Medical | Early Stage Venture | 35M | United States, California, Campbell |
| Instylla | 14 Oct 2020 | Biotechnology, Commercial, Medical Device | Early Stage Venture | 25M | United States, Massachusetts |
| Mazza Innovation | 01 Jan 2014 | Biotechnology, Energy, Organic Food | Seed | British Columbia, Delta, Canada |
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.