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ŌURA's first proprietary AI model focuses on evidence-based women's health guidance

Oura launched its first proprietary AI model designed specifically for women's health, which aims to offer personalized guidance on women's health based on an extensive in-house vetted knowledge base, as well as on biometric data and trends picked up by it sensors.

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Feb 25, 2026 · 1 min read

ŌURA, the company that rose to fame thanks to its popular smart ring, announced its first proprietary AI model designed specifically for women's health, now available for testing in Oura Labs. The model enhances the company's Oura Advisor chatbot with personalized, clinically grounded guidance spanning the full reproductive health spectrum.

The new model draws from a proprietary knowledge base vetted by Oura's in-house team of board-certified clinicians and women's health experts and made up of established medical standards, research, and knowledge sources. It also integrates biometric signals and analyzes longitudinal trends across sleep, activity, cycle data, pregnancy tracking, and stress to deliver personalized contextual responses grounded in science.

"Women's health is too complex—and too often overlooked—to rely on one-size-fits-all systems," said Dr. Ricky Bloomfield, Oura's chief medical officer. The model is intentionally designed to be non-dismissive, reassuring, and emotionally supportive, helping women prepare for informed conversations with healthcare providers.

The launch addresses growing demand for reliable, personalized AI-powered healthcare solutions: a 2025 survey mentioned by ŌURA showed that nearly 80% of US adults search health symptoms online, with two-thirds of the surveyed population reporting that they have encountered AI-generated responses as part of their research. In addition to advocating for specialized solutions as superior alternatives to general-purpose generative AI tools, Oura emphasizes privacy, hosting the model entirely on company-controlled infrastructure with no data sharing or selling.

The model is available through Oura Labs, the company's opt-in experimental feature hub.


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Ellie Ramirez-Camara
News Editor

Ellie Ramirez-Camara is the News Editor at Data Phoenix, where she writes the daily AI newsdesk — covering model releases, research, funding rounds, and policy across the AI and machine-learning industry. She tracks announcements from labs and startups alike and distills them into clear, source-linked reporting for practitioners.

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