Side-by-side comparison of AI visibility scores, market position, and capabilities
Australian AI clinical documentation platform. Used by Monash Health (1.6M patients). $96.6M raised ($65M Series B at $465M valuation). Founded 2019, Melbourne.
Heidi Health was founded in 2019 in Melbourne, Australia by Dr. Thomas Kelly and Ryan Wright to eliminate the administrative burden of clinical documentation for healthcare providers. Clinicians spend 30–50% of working hours on documentation — typing notes, generating referral letters, completing forms — time that could otherwise go to patient care. Heidi built an ambient AI documentation platform that listens to patient consultations, transcribes in real time, and automatically generates structured clinical notes and referral letters tailored to each clinician's specialty.\n\nThe platform integrates with major EHR systems to push completed notes directly into patient charts, eliminating copy-paste friction. The AI engine supports general practice, specialist medicine, allied health, and nursing, and learns each clinician's personal documentation style over time to reduce editing effort. Heidi is deployed at Monash Health in Victoria, one of Australia's largest public health networks serving 1.6 million patients, as a flagship enterprise reference deployment.\n\nHeidi Health has raised $96.6 million in total funding, including a $65 million Series B at a $465 million valuation. The company is one of the fastest-growing clinical documentation AI platforms in Australia and is expanding internationally. As health systems globally address clinician burnout driven by documentation load, ambient AI documentation is emerging as a high-ROI technology investment, positioning Heidi Health alongside US-based competitors including Nuance DAX and Suki.
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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