Rad AI

What Rad AI does

Rad AI is a privately held healthcare AI company founded in 2018 and headquartered in San Francisco that builds generative AI software for radiology workflows. Its platform is composed of three core products: Rad AI Reporting (a generative AI reporting platform that adapts to each radiologist's voice and style), Rad AI Impressions (automated impression generation from dictated findings), and Rad AI Continuity (automated patient follow-up management tracking 50+ categories of incidental findings). Underlying technology comprises domain-specific AI models trained on over 500 million radiology reports, deployed on AWS infrastructure (Amazon EC2 P4d instances with NVIDIA GPUs), and a patent-pending multi-model speech recognition architecture with a proprietary voting algorithm. Peer-reviewed validation in npj Digital Medicine reports radiologist preference margins of 28-50% over generic AI, with custom models averaging 34.2 words per impression versus 75.1 words for general-purpose AI.

The company sells primarily through multi-year enterprise subscriptions to U.S. health systems and large radiology practices, priced on a per-radiologist or per-system basis (not publicly disclosed), with go-to-market executed via a dedicated direct enterprise sales team supplemented by channel partnerships with Siemens Healthineers (global reseller), AGFA HealthCare, Blackford Analysis, and MIC Medical Imaging (Canada). Rad AI claims its solutions are used by over one-third of U.S. health systems, touch nearly 50% of U.S. medical imaging volumes, and serve nearly 50 million patients annually. Strategic equity investors include Advocate Health, Memorial Hermann, Corewell Health, and Atlantic Health System (collectively 100+ hospitals), and the company has raised approximately $143 million across three major funding rounds, most recently a $68 million total Series C at a $525 million valuation led by Transformation Capital in January 2025.

Name

Rad AI

Legal name

Rad AI

Website

https://radai.com

Company type

Private

Founded year

2018

Operating status

Operating

Headcount range

51–100 employees

Short description

Rad AI develops generative AI software that automates radiology reporting, impression generation, and incidental-finding follow-up for U.S. health systems and large radiology practices, powered by domain-specific models trained on over 500 million reports.

Ownership category

akta.pro rank

Product category

Radiology AI Workflow Software

NAICS

Software Publishers (513210)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

AI Orchestration & Imaging Analytics Platforms (Model Management/Triage) (HLACALAG)

akta.pro secondary industries

Teleradiology Platforms & Reading Workflow (HLACALAK), SaMD – Imaging & Signal Analysis (AI/ML) (HLACANAG), Medical Imaging AI (HDAAAEAH)

Keywords

• Radiology AI software
• Generative AI healthcare
• Radiology reporting automation
• Patient follow-up management
• Radiology workflow platform

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

1. Software Subscriptions: Annual or multi-year subscription model for access to Rad AI Reporting, Impressions, and Continuity platforms. Pricing based on radiologist seat count or health system size. Enterprise agreements with strategic health system partners.
2. Platform Licensing: Licensing of AI platform technology to health systems and radiology practices through enterprise agreements. Includes integration services and ongoing support.

Pricing tiers

Go-to-market motion3 records

Distribution channels5 records

Marketing channels6 records

Core offering

Rad AI develops generative AI software that automates radiology reporting and follow-up management workflows. Its three core products — Rad AI Reporting, Rad AI Impressions, and Rad AI Continuity — generate radiology impressions customized to each radiologist's language, integrate with existing PACS and RIS systems, and automate patient follow-up communications for incidental findings. The platform is used by health systems and radiology practices to reduce dictation burden, cut report errors, and improve follow-up adherence rates.

Product overview

Rad AI offers a unified radiology AI platform consisting of three core products: Rad AI Reporting (a generative AI-powered radiology reporting platform), Rad AI Impressions (automated impression generation from dictated findings), and Rad AI Continuity (automated patient follow-up management for incidental findings). The platform is designed for radiologists by radiologists and integrates seamlessly with existing PACS and RIS workflows. It adapts to each radiologist's individual voice and language patterns, reduces dictation by up to 35%, saves 60+ minutes per shift, reduces burnout by 84%, and improves follow-up adherence from approximately 30% to over 75%. The company also launched next-generation speech recognition technology (patent pending) in December 2025 integrated into the Rad AI Reporting platform.

Differentiator

Problem solved

Functional benefit

Brands

• Rad AI Reporting: Breakthrough radiology AI reporting platform built on Rad AI's leadership in generative AI that boosts productivity while minimizing fatigue.
• Rad AI Impressions
• Rad AI Continuity
• Rad AI Omni
• Rad AI Omni Reporting

Products and services

• Rad AI Reporting Breakthrough radiology AI reporting platform built on generative AI that boosts productivity while minimizing fatigue. Adapts to each radiologist's voice, removes repetitive work, and integrates seamlessly with PACS and RIS systems for zero-click automation.
• Rad AI Impressions Automated radiology impression generation that saves radiologists 60+ minutes per shift and reduces burnout by 84%. Generates impressions customized to each radiologist's language and style from dictated findings, reducing errors by 47-64% and dictation by up to 35%.
• Rad AI Continuity Follow-up management platform that automates patient follow-ups for significant incidental findings in radiology reports. Tracks over 50 categories of incidental findings and improves patient follow-up adherence rates from approximately 30% to over 75%, reducing health system liability.
• Next-Generation Speech Recognition Technology Patent-pending speech recognition technology using multi-model architecture with proprietary voting algorithm for improved accuracy in radiology dictation. Handles diverse accents, overlapping speech, and complex medical terminology with sub-second latency-free transcription.

Quantifiable outcome

• 60+ minutes saved per shift per radiologist
• +8 more outcomes

Named customers12 records

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability6 records

Feature5 records

Partnerships

Eight partnerships are on record, tiered flagship, core and minor.

• Yale New Haven Health SystemflagshipStrategic or Co-development Partner · 10 June 2026Strategic partnership for deployment of Rad AI solutions across Yale's imaging network spanning 16 outpatient imaging centers and 5 hospital campuses. The collaboration covers 700,000+ annual radiology exams and includes co-development of specialized AI tools and joint clinical research. Deployment aims to reduce documentation burden, improve workflow efficiency, and allow radiologists to focus on patient care.
• Siemens HealthineerscoreChannel Partner/ Reseller/ DistributorStrategic reseller agreement with Siemens Healthineers for distribution of Rad AI's generative AI radiology solutions globally through Siemens Healthineers' distribution network.
• AGFA HealthCarecoreStrategic or Co-development PartnerStrategic collaboration to enhance radiology workflows through integration of Rad AI solutions with AGFA HealthCare's imaging IT portfolio. Aims to improve efficiency and reduce radiologist burnout across AGFA customer base.
• RSNA VenturescoreStrategic or Co-development PartnerStrategic partnership with RSNA Ventures to accelerate innovation in radiology through collaboration on emerging AI technologies and research initiatives.
• BayerminorStrategic or Co-development PartnerCollaboration agreement between Bayer and Rad AI for joint development and integration of AI solutions in radiology workflows.
• MIC Medical ImagingminorChannel Partner/ Reseller/ DistributorFirst partnership outside the US - MIC Medical Imaging of Alberta, Canada partnered with Rad AI for deployment of radiology AI solutions in Canadian market.
• Blackford AnalysiscoreChannel Partner/ Reseller/ DistributorStrategic sales partnership with Blackford Analysis, a medical imaging AI platform provider, to expand market reach and integrate Rad AI solutions into Blackford's platform offerings.
• Amazon Web Services (AWS)coreTechnology or IntegrationRad AI uses AWS infrastructure, specifically Amazon EC2 P4d instances powered by NVIDIA GPUs, for AI model training and real-time inference. Rad AI achieved 50% reduction in real-time inference latency using Amazon SageMaker and drove 10× revenue growth using AWS infrastructure.

Scale indicators9 records

Recent moves7 records

Expansion highlights7 records

Emerging players

• DeepScribe: DeepScribe offers ambient AI medical documentation and scribing for clinicians. Targets the same healthcare AI-documentation category with overlapping enterprise health-system buyers, though its focus is broader than radiology specifically.
• Abridge: Abridge builds generative-AI clinical conversation and note-generation tools for physicians; while broader than radiology, it competes for the same ambient clinical-AI budget and was recently valued above Rad AI. Comparable AI-scribe go-to-market into health systems.
• Notable: Notable builds an AI platform automating clinical and administrative workflows for health systems, including patient scheduling, registration, and documentation. Adjacent product overlap with Rad AI Continuity and the broader workflow-automation positioning.
• Augmedix: Augmedix provides AI-augmented medical documentation, combining ambient AI with remote human scribes. Competes for ambient documentation budgets at health systems that Rad AI is also selling into, with overlap on automation of clinical notes.
• Suki AI: Suki is an AI voice assistant for clinicians that generates notes and integrates with EHR systems. Competes for the same health-system ambient-AI procurement cycles and shares the radiologist/clinician workflow-augmentation thesis.
• Aidoc: Aidoc provides AI-based imaging analysis and workflow triage for radiology (e.g., stroke, PE detection). Overlaps with Rad AI in imaging-AI platform positioning to enterprise radiology departments, though Aidoc's focus is on detection/notification rather than reporting.

Direct peers

• 3M Health Information Systems (M*Modal): M*Modal provides radiology speech recognition and reporting workflows used by large U.S. health systems—the same buyer segment Rad AI targets. Direct overlap in clinical documentation and radiology dictation, competing for the same IT budget line.
• Nuance Communications (Microsoft): Nuance's PowerScribe radiology reporting platform is the dominant incumbent that Rad AI is displacing; the data notes Microsoft is sunsetting PowerScribe 360, directly positioning Rad AI as the replacement. Same end users (radiologists), same PACS-integrated workflow slot.

Broad incumbents

• Siemens Healthineers: Siemens Healthineers is both Rad AI's strategic global reseller and a broader imaging-IT incumbent with its own AI radiology offerings (AI-Rad Companion). Peer-relevant as a competing platform that could in-source similar functionality.
• Philips (Radiology Informatics): Philips is a global imaging and PACS/RIS incumbent whose radiology informatics portfolio (including speech reporting modules) competes with Rad AI for the same health-system procurement cycles, though as part of a much broader device-and-IT platform.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat7 records

Key risks6 records

Key highlights4 records

Customer concentration

• LinkedInlinkedin.com/company/radai
• Xx.com/radai
• Facebookfacebook.com/radaiFB

Compliance12 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles13 records

Subsidiaries1 record

Funding overview

Funding rounds6 records

Investors28 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Rad AI