Side-by-side comparison of AI visibility scores, market position, and capabilities
Wheel is a telehealth infrastructure company providing the clinician network, technology, and operations that companies need to build and scale virtual care programs.
Wheel is a telehealth infrastructure company founded in 2017 that provides the clinical workforce, technology platform, and operational services that enable businesses to build and power virtual care programs. The company operates as a B2B platform serving healthcare companies, retailers, insurers, and employers that want to offer telehealth services without building a clinical workforce from scratch. Wheel provides access to a nationwide network of licensed clinicians including physicians, nurse practitioners, and physician assistants who can be deployed to power telehealth products across medical, behavioral health, and chronic care specialties. The platform handles clinician credentialing, scheduling, documentation workflows, and state licensure management so that clients can focus on patient experience and growth. Wheel raised over $160M and has powered telehealth programs for companies including retailers launching pharmacy and health clinics and digital health companies scaling their clinical capacity rapidly. As telehealth has become embedded in mainstream healthcare delivery, Wheel enables organizations to participate in virtual care without the complexity of building clinical operations infrastructure internally.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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