National Institutes of Health

Bethesda, United States
Government organization
Active
Total investments

817

Average round size

5M

Portfolio companies

586

Rounds per year

5.96

Lead investments

192

Follow on index

0.28

Exits

67

Stages of investment
Seed
Areas of investment
BiotechnologyHealth CareHealth DiagnosticsEducationMedical DeviceMedicalLife SciencePharmaceuticalTherapeuticsUniversities

Investor highlights

Stage focus
Seed

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Investments analytics

Analytics

Total investments
817
Lead investments
192
Exits
67
Rounds per year
5.96
Follow on index
0.28
Investments by industry
  • Biotechnology (432)
  • Health Care (393)
  • Medical (221)
  • Medical Device (129)
  • Pharmaceutical (117)
  • Show 171 more
Investments by region
  • United States (784)
  • United Kingdom (1)
  • Zambia (1)
  • Australia (3)
  • Canada (4)
  • Show 5 more
Peak activity year
2023
Number of Unicorns
2
Number of Decacorns
2
Number of Minotaurs
5

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Quantitative data

Avg. startup age at the time of investment
32
Avg. valuation at time of investment
19M
Group Appearance index
0.13
Avg. company exit year
10
Avg. multiplicator
2.09
Strategy success index
0.90

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Indow Windows24 Nov 2015Consumer, Home Decor, Home ImprovementEarly Stage Venture1MUnited States, Oregon, Portland
Neurotype Inc.22 Feb 2021Software, Information Technology, Health Care, Medical Device, NeuroscienceSeed54KUnited States, Minnesota, Minneapolis
Simma01 Mar 2023E-Commerce, FinTech, PaymentsSeed105KAmman, Amman, Jordan
ZZ Biotech13 Mar 2014Biotechnology, Therapeutics, Clinical TrialsSeed1MUnited States, Texas, Houston
Company nameDeal dateIndustryDeal stageDeal sizeLocation
TotaraOct 16, 2023Learning Experience Platform, Learning Management System, Performance Management System, Talent Development-- Brighton, England
TotaraOct 16, 2023Learning Experience Platform, Learning Management System, Performance Management System, Talent Development-- Brighton, England
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.