
Oura has announced its first proprietary large language model designed specifically for women’s health – a notable step beyond simply layering general-purpose AI onto its existing biometric platform. The model, rolling out for testing in Oura Labs this week, powers a new version of Oura Advisor that combines clinician-curated women’s health knowledge with members’ own biometric data to deliver personalised guidance across the full reproductive health spectrum, from early menstrual cycles through menopause.
The model was built with input from Oura’s in-house team of board-certified clinicians and women’s health experts, and draws from established medical standards and research. When a member asks a women’s health question, the model references its curated knowledge base while analysing relevant biometric signals and longitudinal trends across sleep, activity, cycle and pregnancy data, and stress. It’s intentionally tuned to be non-dismissive and emotionally supportive – a deliberate design choice that acknowledges how frequently women’s health concerns are minimised in traditional healthcare settings.
“Women’s health is too complex – and too often overlooked – to rely on one-size-fits-all systems,” said Oura CMO Ricky Bloomfield, MD. “By designing a model specifically for women and grounding it in trusted clinical science and real-world biometric data, we’re setting the standard for how responsible intelligence should be built.”
The timing is significant. Oura revealed last year that women make up the majority of its user base – a data point that clearly shaped this investment. As health AI becomes a first stop for many consumers (an Annenberg Public Policy Center survey found nearly 8 in 10 U.S. adults go online to look up health symptoms), Oura is betting that a purpose-built model will outperform generic AI tools that lack the physiological context women’s health questions require.
The model is hosted entirely on Oura-controlled infrastructure, with conversations never sold, shared, or used to train third-party AI systems. It’s currently in testing through Oura Labs, where members can opt in and provide feedback.