Bengaluru, India, 18 November 2025 – Pype AI, an AI-powered front desk platform that automates patient communication for hospitals and clinics, has raised $1.2 million in pre-seed funding. The round was led by Kalaari Capital, with participation from Wyser Capital and Tenity.
The funding will accelerate the development of Pype AI’s research-backed healthcare communication platform and support its expansion into the US market, where care management represents a $50 billion+ opportunity.
AI Front Desk for Healthcare
Founded in 2024 by Dhruv Mehra (ex-Meta) and Ashish Tripathy (ex-LinkedIn), Pype AI builds specialty-trained voice AI agents for healthcare that deploy out of the box. These agents automate critical patient interactions such as appointment scheduling, follow-ups, treatment preparation, and 24/7 support, enabling hospitals to go live in days instead of months.

Purpose-built for clinical reliability, Pype AI agents are trained on rich medical conversational datasets to deliver accurate triaging, high-fidelity responses, and empathetic voice interactions.
“Hospitals are losing patients, revenue, and trust because communication systems are broken,” said Dhruv Mehra, Co-founder & CEO, Pype AI. “Pype AI bridges that gap using AI to ensure every patient gets timely care while every doctor’s time is used effectively.”
“Our vision is to build the AI nurse for every hospital,” added Ashish Tripathy, Co-founder & CTO. “Not to replace people, but to enable care teams to focus on critical patients while AI manages routine coordination.”
Investor Perspectives
“Globally, healthcare has long suffered from deep operational inefficiencies. Pype AI is solving this with domain-specific agents designed to handle communication reliably and at scale,” said Jayraj Bharat Patel, AVP, Kalaari Capital. “We’re excited to partner with Dhruv and Ashish on their journey to transform patient communication and care delivery globally.”
Innovation Highlights
- Whispey: An open-source observability platform with 40+ evaluations for compliance, safety, and performance.
- Voice-based in-call feedback system: Allows clinicians to provide feedback during live interactions, accelerating annotation and clinical data collection.
- EMR integrations: Progressing with Zocdoc, Epic, and Cerner to streamline workflows.
- Impact metrics: Currently live across multiple facilities in India, handling 85%+ patient queries autonomously, reducing no-shows, and improving treatment adherence.
Scaling for Global Impact
With a growing team of engineers, researchers, and physician advisors across India and the US, Pype AI plans to scale to 50+ hospitals and clinic chains by mid-2026. The company is also collaborating with medical experts to publish research quantifying AI’s impact on treatment adherence and readmission rates.
As hospitals worldwide face rising patient volumes and staff shortages, Pype AI is positioned at the forefront of a major shift toward autonomous, AI-enabled patient engagement.


