The next stage of

By Aengus Tran   | 
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We created to answer a question I asked myself many times during my studies to become a doctor: how can we scale high-quality healthcare beyond what a clinician can deliver within their lifetime? 

By designing AI methodologies to solve a broad range of healthcare problems, my brother Dimitry and I believed we could use technology to help, not hinder, clinical diagnosis and care. In doing so, we could help increase the capacity of the global healthcare system. Our mission is to improve the standard of care for one million people daily through the collective reach of our AI systems within the next five years. 

Our first effort, Ivy, helped embryologists select the most viable embryos in an in-vitro fertilisation (IVF) procedure and reduced time to pregnancy for thousands of parents. Through a joint venture with Australia’s largest radiology network I-MED, we formed, and in just 18 months developed a clinician-led AI solution capable of detecting 124 findings on chest X-rays – the most comprehensive AI tool of its kind. 

Just three years after we founded, we have a proven model with the expertise and methodology to rapidly develop, test and commercialise comprehensive AI solutions that help clinicians deliver effective and accurate healthcare at scale. 

Today, I’m pleased to announce we’re doubling down on that mission, thanks to $129 million in new funding from global and strategic investors, and a new joint venture partnership with Sonic Healthcare to develop AI solutions in pathology.  

More accessible healthcare for everyone 

Our mission is simple and bold: to significantly increase the capacity of our healthcare system, and make healthcare more equitable and accessible to all. 

Our global healthcare system has never faced a greater challenge than what we have experienced over the past two years. The fortitude and determination of millions of healthcare workers at all levels — from policymakers and CEOs to doctors, nurses and administrators — has been admirable and worthy of our respect and gratitude. 

Yet the pandemic has exacerbated and laid bare many of the existing challenges and gaps in our healthcare system. Skills shortages that existed well before the pandemic have become worse, now combined with a backlog of elective surgeries and health issues that will not go away soon. 

Much of this gap sits in clinical diagnosis. Developed healthcare systems such as the United Kingdom (UK) and United States (US) face massive shortages in skilled radiologists and clinicians, with hundreds of thousands more staff required to meet surging demand for diagnosis. Even with this shortage, there is a stark disparity to other markets — the US has approximately 11 radiologists per 100,000 people, compared to 0.35 per 100,000 people in Kenya. 

The number of pathologists in the US — a crucial sub-specialty in the diagnosis for treatment of serious diseases — declined 18% between 2007 and 2017, despite an increasing workload. 

These are problems that cannot be solved by training more people alone. It takes at least a decade to train a new pathologist or radiologist out of high school. Even if we were to institute sweeping changes today to fix these foundational issues, we would be years away from meaningful increases in capacity. 

AI built to help clinicians 

Skilled clinicians will always be the most crucial part of delivering effective healthcare. But the right AI solutions can help to increase capacity, by giving them the tools to increase accuracy and reduce time to diagnosis.  

The technologies and solutions we have built at alongside our partners are designed to do exactly that. We’ve combined deep artificial intelligence expertise with the clinical expertise and data of partners like I-MED, Sonic Healthcare and others. This significantly shortens the path to market for new healthcare AI applications and helps accelerate our mission to expand the capacity of the global healthcare system. 

We have a proven model that has rapidly delivered solutions in IVF, and with I-MED we are developing more radiology solutions with In fact, Annalise CXR is already being used by more than 350 radiologists every day across Australia and rolling out to hundreds more, while helping 50,000 patients each month. It has been approved for use across Australia, the UK, Europe and other countries. The tool acts as a second pair of eyes to help radiologists pick up critical findings that can be easily overlooked, especially when the caseload increases, and has been proven in a peer-reviewed study in the Lancet Digital Health to provide more accurate diagnosis of chest X-rays compared to unassisted radiologists. 



Through our new joint venture with Sonic Healthcare, we are doing the same in pathology, co-developing comprehensive AI that can speed up the time required for accurate clinical diagnosis. Sonic Healthcare has been at the forefront of the battle against COVID-19, performing 36 million PCR tests and delivering more than a million vaccinations to Australians. Their clinical expertise and distribution in delivering pathology services at scale, combined with our AI methodology, will mean we can co-develop and deliver portfolios of new AI solutions for pathology quickly and effectively. 

This is just the beginning. We have raised $129 million in new investment from global investors like Horizons Ventures, Blackbird Ventures and Skip Capital, alongside strategic investors Sonic Healthcare and I-MED. This new funding will help us accelerate our mission by hiring the engineers and data scientists we need to deliver AI solutions in existing healthcare areas and new ones into the future. 

This combination of global investors and strategic partners will give us the right balance of market, regulatory, business and healthcare expertise to bring our solutions to new healthcare areas, more countries and ultimately more people. 

Better technology alone won’t fix the skills shortages we face in many healthcare areas today, but AI solutions that empower the clinicians of the future to do more, like those we have created can help alleviate the capacity constraints of the global health system and make it possible to provide effective, accurate and scalable diagnosis hand-in-hand with clinicians. 

We are building future AI solutions for an improved healthcare system and we’re just getting started. Come join us and do your life’s best work at 

Interested in joining Check out current roles on the Careers Page