The Problem.
90,000 patients are waiting. 3,800 kidneys are wasted every year. We're changing that by applying AI-native solutions to the world's most complex matching problem.
Usable & Equitable
A more intuitive tool for medical practitioners designed to expand access for underrepresented communities.
AI-Native Matching
Deep learning models that optimize kidney exchange, improving outcomes for patients and donors.
Data Integrity
Ensuring transparency and security across the entire preservation and transplantation supply chain.
Driven by impact.
From personal advocacy to computational research, we are dedicated to transforming kidney care through compassion and innovation.
The Journey
Kapil’s grandmother, Shanitmayee Acharya, crashes into dialysis with over 80% kidney damage. Her doctor’s words: “count your days”—marking the beginning of a long and difficult battle against kidney disease
Following his grandmother’s passing while waiting for a transplant—not because an organ didn’t exist, but because the system failed to find one in time—Kapil begins volunteering and raising awareness for kidney disease
Kapil becomes a political advocate with the National Kidney Foundation, working to reform kidney policy and improve patient outcomes
Kapil begins kidney disease research, applying computational methods to improve outcomes across AKI, CKD, and PKD
Through advocacy with the National Kidney Foundation, Kapil helps advance the OPTN Modernization Act, opening transplant infrastructure to innovation
Network-Based Kidney Allocation Simulation presented at BMES and published in Blood Purification
KidneyChain is founded, with the goal of developing an AI-native platform to optimize kidney donor-recipient matching and adaptive clinical decision support tools
Today, we're scaling KidneyChain to revolutionize kidney transplantation and build the infrastructure for a smarter, more equitable transplant ecosystem
We are uniquely positioned.
A multidisciplinary team combining personal advocacy, clinical expertise, and cutting-edge engineering.
Kapil Panda
Co-Founder
Brown University
Technology and business expert with a passion for healthcare innovation
Anirudh Mazumder
Co-Founder
Stanford University
AI/ML specialist with expertise in healthcare technology
Aniruth Ananthanarayanan
Chief Technology Officer
Rochester Early Medical Scholars
BS/MD candidate with an interest in AI/ML research and entrepreneurship
Dr. Syed Husain Ali, MD
Chair of Advisory Board
NYU Langone Transplant Institute
Leading expert and practicing clinician in transplant nephrology