Company Insights
Published on
April 22, 2026

How Many People Work at Rad AI? Headcount and Employee Trends

Total Employees
198
7.2% from last year
0
New Hires (YTD)
15
5% of total workforce
Departments
13
650 in Engineering
Locations
43
5,012 in New York, NY
  • Rad AI is a leading provider of AI-powered radiology workflow solutions, recognized as the 36th fastest-growing company in North America with a remarkable 3,224% revenue growth attributed to its physician-led AI technology.
  • In the past year, Rad AI closed a $60 million Series C funding round on January 30, 2025, bringing its total funding to $151 million, and launched next-generation speech recognition technology to enhance radiology reporting.
  • The company has secured strategic investments from four major health systems—Advocate Health, Memorial Hermann Health System, Corewell Health, and Atlantic Health System—demonstrating its strong partnerships in the healthcare sector.
  • Rad AI's ideal buyers are healthcare providers and radiology departments seeking to alleviate physician burnout and improve patient care through innovative AI solutions that streamline workflows and enhance reporting accuracy.

Rad AI Headcount Breakdown by Department

Rad AI's workforce is organized into 13 departments, with Engineering (35 employees) and Information Technology (28 employees) being the largest. Operations and Sales follow with 15 and 12 employees, respectively. The balanced distribution across various functional areas, including Community and Social Services, Marketing, and Human Resources, reflects a comprehensive approach to supporting both technical and operational needs.

Engineering
35
Information Technology
28
Operations
15
Sales
12
Community And Social Services
12
Marketing
5
Human Resources
5
Finance
4
Executive
4
Other
8

Rad AI Employees by Location

The company operates across 43 locations, with a notable presence in Seattle, WA (8 employees), San Francisco, CA (6 employees), and Berkeley, CA (5 employees). The 'Other' category accounts for a significant portion of the workforce, indicating a distributed and potentially remote operational model. This geographic distribution suggests a strategic focus on tapping into diverse talent pools while maintaining a concentrated presence in key urban areas.

Seattle, WA
8
San Francisco, CA
6
Berkeley, CA
5
Boston, MA
3
Kansas City, MO
3
Burlington, MA
3
New York, NY
2
Austin, TX
2
Los Angeles, CA
2
Other
62
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