Side-by-side comparison of AI visibility scores, market position, and capabilities
Digital mental health platform delivering evidence-based CBT programs, Dublin Ireland, acquired by Amwell, serves 500+ health systems and payers globally.
SilverCloud Health is a Dublin, Ireland-based digital mental health platform founded in 2012 at Trinity College Dublin. The company specializes in delivering structured, evidence-based cognitive behavioral therapy (CBT) programs through an asynchronous digital format supported by a trained human reviewer. SilverCloud was acquired by Amwell in 2021, integrating its digital mental health programs into Amwell's broader virtual care platform serving health systems, health plans, and employers.\n\nThe platform offers more than 20 condition-specific programs covering depression, anxiety, insomnia, chronic pain, diabetes, and workplace stress, among others. Each program is built on clinically validated CBT frameworks and follows a structured curriculum over six to eight weeks. Users work through modules independently and receive feedback and encouragement from a trained human supporter, a model known as supported self-management that has shown strong outcomes in peer-reviewed research.\n\nSilverCloud serves more than 500 health systems, insurers, and employers across the United Kingdom, Ireland, and the United States. Its clinical credibility is underpinned by a robust evidence base of over 90 published research studies, making it one of the most rigorously evaluated digital mental health interventions available. Following the Amwell acquisition, SilverCloud has expanded its reach through Amwell's existing hospital and health plan relationships.
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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