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    Superhealth Appoints Ex-Dunzo Co-founder To Scale AI-Native Hospital Model

    Superhealth Appoints Ex-Dunzo Co-founder To Scale AI-Native Hospital Model

    Superhealth plans to scale its AI-native hospital model from one Bengaluru facility to 100 hospitals across India

    Superhealth Appoints Ex-Dunzo Co-founder To Scale AI-Native Hospital Model
    Merin Susan John··Updated OCTOBER 20, 2026, 2:41 AM
    5 min

    Bengaluru-based Superhealth has appointed former Dunzo co-founder Dalvir Singh Suri as its Head of Operations, as the healthcare startup looks to scale its AI-native hospital model from its first facility to 100 multispecialty hospitals across India.

    Suri will be responsible for building the systems, teams, and operating processes needed to replicate Superhealth’s model across its planned network over the next five to seven years. His appointment comes as the company seeks to move beyond proving its model at a single hospital and build the operational backbone required to scale it.

    At the centre of that model is SuperOS, Superhealth’s proprietary AI-native hospital operating system. The company says the system has been running its flagship hospital since day one, with real-time patient monitoring, clinical audits, and digitally orchestrated clinical and operational workflows.

    Superhealth opened its first hospital in Bengaluru 10 months ago and describes its model as combining AI-native software with doctor consultation and all-inclusive pricing. 

    The appointment aims to replicate an AI-native hospital model that works at one facility, then standardise and reproduce it across a 100-hospital network.

    Suri brings nearly 17 years of experience building and scaling operating systems, including more than eight years at Dunzo, where he worked on hyperlocal operations. 

    “Operational excellence is how a great care model becomes repeatable,” said Manoj Kumar, Founder and COO, Superhealth Hospitals. He said the company wants patients to experience the same operational standards across every Superhealth centre.

    The move comes as healthcare companies increasingly use AI not only for patient-facing applications but also to automate and coordinate internal workflows. In Superhealth’s case, the ambition is to make AI part of the hospital’s underlying operating layer—from monitoring and audits to coordinating clinical and operational processes.

    “The next challenge is to scale that experience with speed and discipline,” Suri said, adding that he will focus on building the operations organisation needed to support Superhealth’s expansion.

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