New York Digital Health Accelerator
3
33K
3
0.30
- Stages of investment
- Areas of investment
Summary
New York Digital Health Accelerator appeared to be the VC, which was created in 2012. The leading representative office of defined VC is situated in the New York. The venture was found in North America in United States.
The important activity for fund was in 2012. The fund is constantly included in less than 2 deals per year.
Among the most popular fund investment industries, there are Health Care, Software. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. 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 CipherHealth.
The standard case for the fund is to invest in rounds with 1 partaker. Despite the New York Digital Health Accelerator, startups are often financed by Blueprint Health. In the next rounds fund is usually obtained by JMI Equity.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 0
- Rounds per year
- 0.30
- Investments by industry
- Health Care (3)
- Analytics (2)
- Big Data (1)
- Artificial Intelligence (1)
- SaaS (1) Show 3 more
- Investments by region
-
- United States (3)
- Peak activity year
- 2014
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
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 |
|---|---|---|---|---|---|
| Parable Health | 25 Jan 2016 | Information Technology, Health Care, mHealth | Seed | 100K | United States, New York, New York |
Similar funds
By same location
By same geo focus
By doing lead investments
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.