National Heart, Lung and Blood Institute

Total investments

49

Average round size

2M

Portfolio companies

41

Lead investments

6

Follow on index

0.14

Exits

2

Areas of investment
BiotechnologyArtificial IntelligenceMachine LearningHealth CareMedical DeviceMedicalLife ScienceNeurosciencePharmaceuticalBiopharma

Summary

The fund has no specific favorite in a number of founders of portfolio startups. Among the most successful fund investment fields, there are Biotechnology, Software. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline Centerline Biomedical, Numerate

The usual cause for the fund is to invest in rounds with 1 partaker. Despite the National Heart, Lung and Blood Institute, startups are often financed by National Institutes of Health, U.S. Department of Defense, MedTech Innovator. In the next rounds fund is usually obtained by National Institutes of Health, National Cancer Institute.

Deals in the range of 5 - 10 millions dollars are the general things for fund. The high activity for fund was in 2019. The fund is constantly included in 2-6 investment rounds annually.

Show more

Investments analytics

Analytics

Total investments
49
Lead investments
6
Exits
2
Follow on index
0.14
Investments by industry
  • Biotechnology (24)
  • Health Care (22)
  • Medical (14)
  • Medical Device (10)
  • Artificial Intelligence (9)
  • Show 34 more
Investments by region
  • United States (45)
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
26
Group Appearance index
0.04
Avg. company exit year
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
Exeon Analytics 17 Aug 2017 Software, Analytics, Information Technology, Cyber Security, Network Security Seed 109K Switzerland, Zurich, Zurich
How we get our data

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.