Ohio Biotech Group
2
9M
1
0.50
- Stages of investment
- Areas of investment
Summary
The common things for fund are deals in the range of 5 - 10 millions dollars. The important activity for fund was in 2005. The fund is constantly included in less than 2 deals per year.
We can highlight the next thriving fund investment areas, such as Biotechnology, Medical. Among the most popular portfolio startups of the fund, we may highlight Axial Biotech. Besides, a startup needs to be aged 4-5 years to get the investment from the fund.
The standard case for the fund is to invest in rounds with 3 partakers. Despite the Ohio Biotech Group, startups are often financed by vSpring Capital, Medtronic. The meaningful sponsors for the fund in investment in the same round are vSpring Capital, Medtronic, Johnson & Johnson Development Corporation. In the next rounds fund is usually obtained by vSpring Capital, Johnson & Johnson Development Corporation.
Investments analytics
Analytics
- Total investments
- 2
- Lead investments
- 0
- Follow on index
- 0.50
- Investments by industry
- Biotechnology (2)
- Genetics (2)
- Medical Device (2)
- Medical (2)
- Investments by region
-
- United States (2)
- Peak activity year
- 2005
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
- 19
- 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 |
|---|---|---|---|---|---|
| Axial Biotech | 27 Mar 2007 | Biotechnology, Genetics, Medical Device, Medical | Early Stage Venture | 15M | Salt Lake City, Utah, United States |
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.