Oura has officially announced the acquisition of Counsel Health, a startup specializing in medical AI chatbots, for a sum of $625 million. The company revealed this significant financial move alongside its quarterly earnings report on November 10, 2026. This transaction follows the integration of Counsel Health’s AI chatbot into the Oura application earlier this year, marking a major step in the wearable technology company’s expansion into direct healthcare services.
Counsel Health describes itself as an AI-native primary care company. Its platform utilizes artificial intelligence to generate responses and health insights based on data reported by users’ wearables. These AI-driven interactions can subsequently transition into conversations with in-house physicians, creating a hybrid model of digital and human medical care. By combining these capabilities, the two companies aim to provide a more seamless health monitoring experience for consumers.
Tom Hale, the CEO of Oura, discussed the strategic rationale behind the deal in an interview with Bloomberg. He explained that the acquisition is a key component of a broader plan to connect wearables, clinical AI, and direct access to doctors. The goal is to use insights from biometric data to answer medical questions and monitor ongoing health conditions. This approach allows users to receive personalized guidance directly from their devices without needing to book traditional appointments for every minor concern.
The integration of the two platforms will allow Oura users to connect with a real doctor directly through the app. The AI chatbot will be able to draw upon the user’s biometric data from their wearables when providing answers to medical inquiries. This data-driven method ensures that the medical advice given is tailored to the individual’s current physiological state, potentially improving the accuracy and relevance of the care provided.
According to the press release, the combined entity will focus its efforts on three primary areas of healthcare. These include preventative care, acute care for episodic health concerns, and specialty care for chronic conditions. Specific focus areas for chronic care will include reproductive health and cardiometabolic health, addressing some of the most common long-term health challenges faced by modern consumers.
The deal is expected to close before the end of the current year. As part of the acquisition, Counsel Health’s 70 employees will join the Oura team. Muthu Alagappan, the current CEO of Counsel Health, will assume a new role as Oura’s chief clinical AI officer. This leadership transition highlights the importance Oura places on clinical expertise in its future product development and service delivery.
In addition to internal integration, the companies plan to expand the reach of the medical AI platform. According to Bloomberg, Alagappan stated that they are planning to grow their network of on-demand physicians, which currently consists of about 50 people. This expansion is intended to ensure that there is sufficient human medical capacity to support the growing number of users engaging with the AI-driven care model.
Beyond the Oura user base, Counsel Health will continue to offer its medical AI platform to external clients. The company intends to work with new and existing enterprise partners to provide these services. These partners include health plans, health systems, consumer health organizations, and employers, allowing the technology to be utilized in broader healthcare and corporate wellness contexts.
This acquisition positions Oura as a more comprehensive health ecosystem provider. By moving beyond simple data tracking to active clinical engagement, the company is competing more directly with traditional healthcare providers. The focus on using wearable data to inform medical decisions represents a shift toward proactive and personalized health management.
The partnership aims to bridge the gap between consumer technology and professional medical care. By leveraging AI to handle initial assessments and routine questions, the system can free up physicians to focus on more complex cases. This model could potentially reduce wait times and improve the overall efficiency of primary care delivery for a wide range of patients.
