AI Life Sciences Investments
5
46M
4
2
0.20
1
- Areas of investment
Summary
The typical case for the fund is to invest in rounds with 7 participants. Despite the AI Life Sciences Investments, startups are often financed by TEXO Ventures, Prolog Ventures, Giza Venture Capital. The meaningful sponsors for the fund in investment in the same round are Wanxiang Healthcare Investments, StartUp Health, Prolog Ventures. In the next rounds fund is usually obtained by Prolog Ventures, Digitalis Ventures, B Capital Group.
The high activity for fund was in 2018. The usual things for fund are deals in the range of 10 - 50 millions dollars. The fund is constantly included in less than 2 investment rounds annually.
Among the most popular portfolio startups of the fund, we may highlight CareDox. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most successful fund investment fields, there are Education, Health Care.
Investments analytics
Analytics
- Total investments
- 5
- Lead investments
- 2
- Exits
- 1
- Follow on index
- 0.20
- Investments by industry
- Health Care (2)
- Machinery Manufacturing (2)
- Machine Learning (2)
- Education (1)
- Internet (1) Show 9 more
- Investments by region
-
- United States (4)
- Israel (1)
- 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
- 10
- 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 |
|---|---|---|---|---|---|
| CareDox | 17 Jan 2018 | Internet, Health Care, Education | Early Stage Venture | 16M | United States, New York, New York |
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.