Suki AI
Voice-enabled AI assistant and ambient medical scribe that automates clinical documentation for physicians.
Generative AI for radiology reporting and follow-up management
Rad AI is a generative AI platform for radiology that drafts reports in each radiologist's style, auto-writes impressions and tracks incidental-finding follow-ups, sold to practices and health systems.
Rad AI is a healthcare AI company focused on radiology workflow. Its flagship Reporting product drafts full radiology reports in each radiologist's own voice and style, claiming up to 2x faster dictation and far fewer words typed, while Rad AI Impressions auto-generates the impression section from dictated findings in seconds, saving significant time per shift. A third product, Rad AI Continuity, detects, tracks and closes the loop on incidental-finding follow-up recommendations across dozens of clinical categories, helping health systems avoid missed follow-ups that carry clinical and liability risk. The tools integrate into existing dictation and PACS workflows rather than replacing them. Rad AI sells to radiology practices and health systems through enterprise sales, with no public list pricing. It has become one of the more widely adopted radiology-specific AI vendors, competing with reporting tools like RadPair, Fluency and others in an increasingly crowded market.
Rad AI is a radiology-specific generative AI vendor that speeds reporting and manages follow-ups, sold to practices and health systems under an enterprise model.
Rad AI focuses squarely on radiology, building tools that reduce reporting time and burnout for radiologists. It has become one of the more widely adopted specialty-specific AI companies in medical imaging.
The company sells to radiology practices and health systems through enterprise sales, positioning its products as workflow enhancements that fit existing dictation and PACS systems.
Its portfolio includes Reporting for full report drafting in a radiologist's style, Impressions for auto-generating the impression section from findings, and Continuity for detecting and tracking incidental-finding follow-ups.
The tools emphasize time savings, personalization to each radiologist and closing follow-up loops that carry clinical and liability importance, all while keeping the clinician as the final reviewer.
Radiology practices, imaging centers and health system radiology departments handling high report volumes and follow-up tracking obligations.
Radiologists dictating and signing reports
Radiology practice leaders and health system executives
Imaging IT, quality and compliance teams
High-volume radiology groups and health systems seeking reporting efficiency
Rad AI has raised substantial venture funding across multiple rounds; verify the latest totals and investors with the vendor or public sources.
It provides generative AI for radiology, including report drafting, automatic impressions and incidental-finding follow-up tracking.
No. It drafts content that the radiologist reviews, edits and signs, keeping the clinician in control.
A product that detects, tracks and helps close the loop on incidental-finding follow-up recommendations across many clinical categories.
Rad AI uses enterprise sales with custom pricing per practice or health system; no public rates are listed.
Yes. It integrates into existing dictation and PACS workflows rather than replacing them.
Side-by-side pages for pricing, features, and best-fit use cases.
Voice-enabled AI assistant and ambient medical scribe that automates clinical documentation for physicians.
Ambient AI medical scribe that turns clinician-patient conversations into structured notes
Enterprise clinical AI operating system for radiology and acute care
AI clinical copilot that turns messy patient data into point-of-care insights