Apollo's Sangita Reddy backs O-Health, a Bengaluru start-up running clinical AI on hardware inside the consultation room

Most AI scribes for doctors send recorded conversations to large models in the cloud. O-Health, a Bengaluru-based clinical AI start-up, does the opposite: it runs its models on hardware inside the hospital. Digital Health News reported on 4 November 2026 that it had raised fresh funding from Dr Sangita Reddy, Joint Managing Director of Apollo Hospitals, to push that edge-first approach further. The amount was not disclosed.

Who invested

Besides Dr Reddy, the round's backers include Singapore-based BugleRock Capital; Perpetual Capital, led by Pranav Prashant and Anvita Prashant; Ankit Nagori, co-founder of Curefoods; and Varun Dua, co-founder of ACKO. O-Health says the money will go into its on-device AI models and the clinical hardware needed to run them.

What the product does

O-Health's platform is voice-first. It listens to the conversation between doctor and patient and turns it, in real time, into structured clinical notes and assessment reports. The company says its sovereign AI stack runs on edge hardware inside the facility rather than on remote cloud servers.

In company-linked coverage, O-Health has said it has handled more than 50,000 clinical consultations, with deployments including Yashoda Medicity in Delhi NCR. These figures come from the company and have not been independently verified.

Why edge AI matters in Indian healthcare

Ambient clinical documentation has become one of the fastest-growing uses of generative AI in medicine worldwide, because it attacks a clear problem: doctors spend much of their working day on paperwork. In India that problem is worse because of patient volumes. Studies have repeatedly found that primary-care consultations in India often last only a couple of minutes, which leaves little time for careful records.

Running the AI on site addresses three India-specific constraints:

• Data protection: Hospitals handle sensitive clinical information. On-site inference can reduce external transfers, while consent, security and retention still depend on the deployment.
• Connectivity: many hospitals, especially outside the metros, cannot rely on constant high-bandwidth links. Local inference can reduce dependence on connectivity, subject to the product’s other system requirements.
• Language: consultations in India often switch between English and one or more regional languages within a single conversation. Models tuned on local speech and deployed close to the user can be adapted faster than general-purpose cloud services.

A backer of Dr Reddy's standing matters strategically. Apollo is one of India's largest private hospital networks and has been an early adopter of digital health tools, so her personal investment brings credibility with hospital buyers, who are often slow to sign up with start-ups.

What to watch

O-Health's challenge is to turn a hospital-by-hospital deployment model into a scalable business. Edge hardware has to be installed, maintained and updated across sites, which costs more to run than a pure software subscription. The next milestones to watch are larger hospital-network contracts, integration with India's Ayushman Bharat Digital Mission health-records stack, and independent evidence that its notes save doctors time without introducing clinical errors.

Sources

• Digital Health News: https://www.digitalhealthnews.com/bengaluru-based-o-health-raises-funding-to-expand-clinical-ai-platform
• NewsKart: https://www.newskart.com/o-health-secures-strategic-funding-to-bring-edge-ai-into-hospital-care/
• Dealroom: https://dealroom.co/news/169033-apollos-sangita-reddy-backs-o-healths-edge-ai-for-doctors/
• StartupTalky daily roundup (9 November 2026): https://startuptalky.com/news/daily-indian-funding-roundup-key-news-9-november-2026/
• Medical Dialogues (consultation-length study): https://medicaldialogues.in/doctors-in-india-see-patients-for-just-two-minutes-study