


AIM-AHEAD Consortium Revenue
Non-profit Organizations • Fort Worth, Texas, United States • 21-50 Employees
AIM-AHEAD Consortium revenue & valuation
| Annual revenue | $2,994,425 |
| Revenue per employee | $86,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Non-profit Organizations industry and current estimated revenues | $9,600,000 |
| Total funding | No funding |
Key Contact at AIM-AHEAD Consortium
Alexander Libin
Training Practicum In Ai/Ml, Co-Director, Aim Ahead Consortium
Company overview
| Headquarters | Fort Worth, Texas, United States |
| Website | |
| NAICS | 813 |
| Employees | 21-50 |
| Socials |
AIM-AHEAD Consortium Email Formats
AIM-AHEAD Consortium uses 1 email format. The most common is {first initial}.{last name} (e.g., j.doe@aim-ahead.net), used 100% of the time.
| Format | Example | Percentage |
|---|---|---|
{first initial}.{last name} | j.doe@aim-ahead.net | 100% |
About AIM-AHEAD Consortium
The National Institutes of Health’s AIM-AHEAD program was established to create mutually beneficial and coordinated partnerships to empower researchers and communities across the United States in the development of AI/ML models and enhance the capabilities of this emerging technology, beginning with electronic health record (EHR) data. The rapid increase in the volume of data generated through electronic health records (EHRs) and other biomedical research presents exciting opportunities for developing data science approaches, such as AI/ML methods, to enhance biomedical research and improve healthcare. Several challenges hinder the widespread adoption of AI/ML technologies, including high costs, limited capability for broad application, and inadequate access to necessary infrastructure, resources, and training. Additionally, there is a lack of comprehensive and high-quality AI-ready data, as well as a shortage of a pipeline of talented researchers in both industry and academia, to harness the potential of AI/ML in advancing biomedical research and the practice of medicine. Furthermore, tackling the complex drivers of health outcomes require an innovative and transdisciplinary framework that transcends scientific and organizational silos. Mutually beneficial and trusted partnerships can be established to empower researchers and communities across the United States in AI/ML application.
Employees by Management Level
Total employees: 21-50
Seniority
Employees
Employees by Department
AIM-AHEAD Consortium has 7 employees across 3 departments.
Departments
Number of employees
Funding Data
AIM-AHEAD Consortium has never raised funding before.
AIM-AHEAD Consortium Tech Stack
Discover the technologies and tools that power AIM-AHEAD Consortium's digital infrastructure, from frameworks to analytics platforms.
CDN
JavaScript libraries
CDN
JavaScript libraries
Miscellaneous
Analytics
UI frameworks
Web frameworks
Tag managers
PaaS
CDN
Frequently asked questions
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