Practo, one of the most trusted digital healthcare platforms globally, is advancing its AI-led transformation as it builds the intelligence layer driving healthcare decisions at scale.
The announcement comes as Practo sees strong global momentum. Following its expansion into the United States, Practo’s marketplace has scaled to over $100 million in GMV, powered entirely by AI-led, agentic systems operating at scale that drive discovery, decision-making, and care navigation.
At the same time, AI is already operating at a significant scale across Practo’s platform. The company handles 20,000+ AI-driven calls and chats every day, delivering critical healthcare information with speed and accuracy. In a domain where timely access to the right information can directly influence decisions and outcomes, these systems ensure that users are not left navigating uncertainty. Instead, they enable a more continuous, reliable, and informed interaction with healthcare especially in moments when it matters most.
“We have spent nearly two decades building a deep understanding of how healthcare actually works across patients, providers, and outcomes. That foundation gives us a unique opportunity to build the AI brain for healthcare. Our focus is to apply this intelligence across every stage of the experience, helping patients make the right decisions, supporting providers with the right context, and ultimately improving outcomes. The potential here is immense, and we believe Practo is uniquely positioned to build this at a global scale,” said Shashank ND, Founder and CEO, Practo.
As part of this broader push, Practo is continuing to invest in its AI engineering capabilities, bringing on experienced engineers across staff and lead roles to work on systems that operate at the intersection of scale, intelligence, and real-world healthcare impact.
These roles are aimed at engineers who want to apply deep technical skill to real-world systems, not isolated models. At Practo, AI is embedded directly into healthcare workflows where decisions are time-sensitive, context-heavy, and impact real outcomes. The work involves building systems that can operate across this complexity, understanding context, guiding decisions, and continuously improving through real-world feedback. It is engineering at the intersection of scale, intelligence, and responsibility, applied to one of the most critical domains globally.
Commenting on this Srijesh Kumar, CPTO, Practo, said, “We’re building AI as a unified system, not a set of features. At the core is Clinical Intelligence, the layer that makes sense of complex healthcare data and powers decisions. From there, we extend into Consultation Intelligence, bringing the right context into every interaction with a doctor, and a Care Companion that guides patients through their journey end to end. The goal is to move healthcare from disconnected steps to a continuous, guided experience that leads to better outcomes.
And as we build this, we’re looking to work with engineers who want to apply their AI capabilities to something meaningful. Where the systems they build can contribute to sharper decisions, more effective care, and ultimately healthier lives.”
Practo’s long-term vision is to transform healthcare from a fragmented, reactive system into one that is connected, guided, and outcome-driven. As AI becomes central to this transformation, Practo’s focus remains on building systems that operate in the real world at scale, with responsibility and impact.