Rad AI Public Market Comparables

Find the most relevant public market comparables for Rad AI, including EV/Revenue and EV/EBITDA multiples to help you make informed investment decisions.

Company Overview

Rad AI is a leader in generative AI solutions for radiology, streamlining workflows, saving radiologists time, reducing burnout, and improving patient care. Their AI-powered tools automate radiology reporting, including AI-generated impressions and follow-up management for patient care.

Business Model

Software as a Service (SaaS) providing AI-driven radiology workflow solutions.

Target Customers

Radiologists, radiology practices, and healthcare systems.

Specific Focus

Generative AI for radiology workflow automation.

Location

San Francisco, California

CEO

Doktor Gurson

Industry

Software & services

Sub Sector

Medical Imaging AI

3yr Revenue Growth

8,710%

Website

radai.com

Public Market Comparables

Below are the key valuation metrics for companies similar to Rad AI in the Healthcare Technology sector. These metrics can help you understand how the market values companies with similar business models and growth profiles.

Looking for a comprehensive compset for Rad AI? Our platform provides detailed analysis of Rad AI's competitive landscape, including financial metrics, growth trends, and market positioning. Get access to the full Rad AI compset by trying our platform today.

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Screenshot of CompSetFinder showing Rad AI comps with valuation metrics like EV/Revenue, EV/EBITDA, and P/E

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As a leading player in the Software & services industry within the Healthcare Technology sector, Rad AI operates in the specialized Medical Imaging AI sub-sector. Understanding how Rad AI compares to its public market comps is essential for accurate valuation and strategic decision-making.

Our comprehensive analysis includes detailed comparables (compsets) featuring similar companies in the Medical Imaging AI space, with complete financial metrics, growth trajectories, and competitive positioning insights that go beyond the surface-level data shown above.

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