Podcast hosted and published by ICR on Welcome to the Arena
Helfie CEO George Tomeski joined Welcome to the Arena, hosted by Tom Ryan, to discuss how AI-powered smartphone technology is reshaping healthcare access, accelerating early detection, and addressing systemic failures in global health systems.
Empowering Early Detection Through AI
George explains how AI-driven mobile technology can reduce this process to seconds, allowing individuals to assess potential health issues using only their smartphone. By enabling rapid, low-cost health checks, this approach aims to close the gap between symptom onset and meaningful medical action.
From Personal Experience to Platform Innovation
George shares the personal experiences that shaped the creation of Helfie AI, including his mother’s delayed cancer diagnosis after more than a decade of recurring symptoms. Despite regular interactions with the healthcare system, her condition was only identified at a late stage, highlighting systemic failures in early detection.
These experiences, combined with George’s own gaps in routine health monitoring, led him to question whether healthcare could identify risk far earlier than current systems allow. This question became the foundation for Helfie AI, which began experimenting with AI models designed to read biological signals as close to the human body as possible.
Reimagining Access to Healthcare
The conversation explores how traditional, centralised healthcare systems increasingly exclude large portions of the global population. Despite trillions of dollars spent annually, billions of people still lack regular access to doctors, and healthcare outcomes continue to decline in many developed nations.
George explains that helfie AI was designed first and foremost for individuals, offering a way for people to assess potential health risks regardless of location, income, or access to specialists. By placing diagnostic capability directly in people’s hands, the platform seeks to reduce inequality in healthcare access and support earlier intervention.
How Helfie AI Works
Helfie AI enables users to conduct a wide range of health checks using their smartphone. These include facial scans to assess vital indicators such as heart rate and respiratory rate, voice analysis to detect respiratory conditions, skin scanning for potential skin cancers, and other assessments related to nutrition, cardiovascular health, neurological risk, and more.
The platform currently supports screening across approximately 30 health conditions, with each assessment costing only a few cents. George explains that modern smartphones already possess powerful sensing capabilities, including cameras, microphones, and motion sensors, which make this level of analysis possible at scale.
A Layered AI Model for Personalised Health
George outlines how Helfie AI’s technology is built using multiple layers. The system first identifies biological signals through the smartphone, then processes those signals for accuracy, and finally connects them to domain-specific medical knowledge. Large language models sit on top of this structure to contextualise results based on factors such as geography and personal health context.
This layered approach allows the platform to generate insights that go beyond isolated readings, enabling the connection of biomarkers across different conditions and improving accuracy over time as the system scales.
From Individual Users to Population Health
While Helfie AI was initially built for individuals, the platform has attracted interest from governments and large organisations seeking population-wide health screening solutions. George discusses ongoing conversations around deploying the technology at scale to support public health policy, workforce wellbeing, and preventative care initiatives.
In addition to individual assessments, the platform provides guidance on next steps, including when to seek medical care, what questions to ask healthcare providers, and how to interpret health data that is often confusing or inaccessible to patients.
Funding, Growth, and Global Ambition
George shares insights into Helfie AI’s growth journey, noting that the company has raised over US$30 million to date and is pursuing additional funding to support infrastructure, research and development, and global deployment. The company is expanding its leadership and engineering teams to meet growing demand and accelerate innovation.
The discussion highlights how advances in AI development have reduced the cost of building sophisticated models, enabling faster progress without the massive capital requirements traditionally associated with healthcare technology.
The Future of Ambient Health Monitoring
Looking ahead, George describes a future where health monitoring becomes ambient and continuous, embedded seamlessly into everyday life. He envisions a system where health risks are identified early, flagged automatically, and addressed before they escalate into serious conditions.
By integrating health data with broader environmental, behavioural, and lifestyle inputs, Helfie AI aims to help people live longer, healthier lives while reducing dependence on reactive healthcare systems.
About the Guest
George Tomeski is the CEO of Helfie AI, a company building what it describes as a new operating system for human health. Helfie AI focuses on early detection, prevention, and personalised health insights delivered through smartphone-based AI technology.
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