
How Omada Health scaled patient care by fine-tuning Llama models on Amazon SageMaker AI - Amazon Web Services (AWS)
Omada Health recently introduced OmadaSpark, a groundbreaking AI nutrition assistant developed in collaboration with AWS and Meta, aimed at enhancing virtual healthcare delivery. Launched in 2025 and built on AWS infrastructure, OmadaSpark utilizes a fine-tuned Llama 3.1 model on Amazon SageMaker to provide real-time motivational interviewing and personalized nutrition education. This innovative solution helps users tackle motivational challenges like emotional eating and supports them in making healthier food choices.
OmadaSpark's core feature, Nutritional Education, dramatically simplifies access to nutritional guidance, reducing the time needed to answer dietary questions from days to mere seconds. The AI agent offers personalized feedback based on individual member data and past interactions, ensuring relevant advice is provided. This real-time support encourages users to discover and implement healthier eating habits while fostering a positive relationship with food through tools like barcode scanning and photo recognition for meal tracking.
The close collaboration between Omada’s clinical and AI teams ensured that the model met real-world healthcare needs while upholding high standards of care. Rigorous testing protocols, including human reviews of output, guarantee the clinical accuracy and safety of the information provided.
Following the implementation, member engagement surged; those using OmadaSpark were three times more likely to return to the app than non-users. By leveraging advanced AI technology, Omada Health not only enhances the role of health coaches but also paves the way for ongoing developments in care delivery, benefiting patients with timely and evidence-based nutritional education. As they look toward future enhancements, Omada remains committed to ethical AI use in healthcare, ensuring a human-centered approach at scale.

