HBAN Medtech Syndicate
10
4M
8
1
0.20
- Areas of investment
Summary
Among the most popular fund investment industries, there are Medical, Hospital. The fund has no exact preference in some founders of portfolio startups. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Bluedrop Medical, Crou00edValve.
The usual cause for the fund is to invest in rounds with 4 partakers. Despite the HBAN Medtech Syndicate, startups are often financed by Enterprise Ireland, SOSV, Halo Business Angel Network. The meaningful sponsors for the fund in investment in the same round are Western Development Commission, SOSV, Irrus Investments. In the next rounds fund is usually obtained by Horizon 2020, European Innovation Council.
The important activity for fund was in 2019. The usual things for fund are deals in the range of 1 - 5 millions dollars. The fund is constantly included in 2-6 deals per year.
Investments analytics
Analytics
- Total investments
- 10
- Lead investments
- 1
- Follow on index
- 0.20
- Investments by industry
- Medical Device (8)
- Medical (6)
- Health Care (6)
- Hospital (2)
- Biotechnology (2)
- Investments by region
-
- Ireland (10)
- 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
- 8
- 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 |
|---|---|---|---|---|---|
| FeelTect | 20 Dec 2023 | Health Care, Medical Device | Seed | 1M | Galway, Galway, Ireland |
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.