National Institute of Mental Health

Total investments

21

Average round size

2M

Portfolio companies

18

Rounds per year

0.28

Lead investments

10

Follow on index

0.14

Exits

2

Areas of investment
BiotechnologySoftwareArtificial IntelligenceHealth CareEducationMedicalPersonal HealthNeurosciencePharmaceuticalElectronics

Summary

We can highlight the next thriving fund investment areas, such as CRM, Software. Among the most popular portfolio startups of the fund, we may highlight Cogito Corporation. Besides, a startup needs to be aged 11-15 years to get the investment from the fund.

Considering the real fund results, this Corporate Investor is 47 percentage points more often commits exit comparing to other organizations. The fund is constantly included in 2-6 investment rounds annually. The usual things for fund are deals in the range of 10 - 50 millions dollars. The top activity for fund was in 2019.

The typical case for the fund is to invest in rounds with 4 participants. Despite the National Institute of Mental Health, startups are often financed by Salesforce Ventures, OpenView Venture Partners, Hearst Ventures. The meaningful sponsors for the fund in investment in the same round are Western Technology Investment, Small Business Innovation Research, Salesforce Ventures.

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Investments analytics

Analytics

Total investments
21
Lead investments
10
Exits
2
Rounds per year
0.28
Follow on index
0.14
Investments by industry
  • Health Care (10)
  • Medical (7)
  • Biotechnology (6)
  • Electronics (5)
  • Education (5)
  • Show 25 more
Investments by region
  • United States (21)
Peak activity year
2023

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Quantitative data

Avg. startup age at the time of investment
27
Avg. valuation at time of investment
3M
Group Appearance index
0.10

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Cogito 05 Sep 2019 Software, Artificial Intelligence, Machine Learning, CRM, Customer Service, Sales Automation Late Stage Venture 20M United States, Massachusetts, Boston
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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.