Kanza AI
Press & News

Silicon Valley, October 8, 2026 — Kanza AI, the healthcare technology startup that has built the leading Clinical Reasoning System (CRS), has joined the American Heart Association Center for Health Technology & Innovation’s Innovators’ Network. The Center is focused on building and fostering health technology relationships to develop innovative and scalable solutions.

The Innovators’ Network is a consortium connecting entrepreneurs, providers, researchers and payers to advance cardiovascular and brain health innovation. Innovators’ Network members also have the opportunity to access the Association’s digital evidence-based scientific guidelines and clinical recommendations as they develop digital healthcare technologies. Members collaborate with the Center in different ways, including building models for clinical outcome studies, which lowers the significant cost of developing those studies independently, helping connect the science to technology and providing evidence that a digital platform improves healthcare outcomes – a key concern for providers and payers.

“The Center aims to advance the rapid, efficient, and effective development of healthcare technology,” said Seth S. Martin, MD, MHS, FAHA, volunteer chair of the American Heart Association’s Health Tech Advisory Group for the Center and professor of medicine in the division of cardiology at Johns Hopkins University School of Medicine. “Joining the Innovators’ Network gives members the opportunity to leverage the consortium and work toward broadening and deepening their engagement in this arena.”

“Clinicians need more than just access to information. The challenge is determining what matters as the clinical picture develops to the moment of decision by a physician,” said Samir Arora, CEO of Kanza AI. “Kanza’s Clinical Reasoning System is designed to support clinicians through the decision process while keeping their independent judgment at its center. Joining the Innovators’ Network gives us the opportunity to significantly advance evidence-based health innovation to improve healthcare outcomes.”

About Kanza

Kanza joins the Innovators’ Network bringing its Clinical Reasoning System (CRS), a clinician-facing platform that supports healthcare professionals as they work through complex clinical questions and toward clinical decisions at the point of care.

Unlike documentation tools or medical search–retrieval engines, the Kanza CRS works a case using clinical reasoning — weighing evidence, flagging where it’s uncertain, and citing every step so its reasoning is auditable and reproducible. As the physician evaluates the case, Kanza CRS presents the basis for each step, allowing the clinician to independently review and assess its relevance to the patient.

In this way, the CRS is designed to support the clinician throughout the decision-making process. The clinician remains responsible for evaluating the information presented and exercising independent professional judgment at the point of care.

Kanza has developed its Clinical Reasoning System with a focus on helping healthcare professionals navigate clinical complexity more efficiently and support informed clinical decision-making.

Kanza AI builds clinical reasoning AI for physicians at the point of care, co-developed with clinicians, trained on proprietary longitudinal clinical data and deployable across cloud and sovereign — on-prem or air-gapped — environments. The company is in live clinical use across institutions in the US, is a member of the NVIDIA Inception Program, and was selected by Google in 2026 as top-tier Scale AI in Health. Kanza was founded in Silicon Valley by Samir Arora, with co-founders Jeet Kaul, Sal Arora, Raj Narayan, and Dr. Toby Cosgrove, former CEO of Cleveland Clinic. Learn more at kanza.ai.

Seattle, WA and Silicon Valley, CA — Lightning AI today announced that Kanza AI’s Clinical Reasoning System (CRS) is now live at Freyja Clinic in Redwood City, California, running on Lightning AI’s agentic AI platform, GraphN. The Kanza AI CRS is available now for healthcare institutions, clinics, and peer-nominated physicians.

This is the first production US deployment of Kanza’s medical AI built to reason through diagnoses alongside physicians at the point of care. GraphN is the execution layer beneath the CRS. It gives a healthcare institution a direct path from its own proprietary data to working clinical AI, running in whatever environment its compliance regime demands: cloud today, with sovereign — on-prem or air-gapped — deployments available.

Kanza’s edge is not just the model. It is the substrate.

“The organizations that will define the next decade of enterprise AI are sitting on proprietary data that general-purpose infrastructure cannot touch. Kanza’s moat is its data access, knowledge graph, and reasoning layer. GraphN gives them the execution layer to take it all to production at scale. This combination is what makes it defensible.”

Saurabh Giri, Chief Product & Technology Officer, Lightning AI

Unlike documentation tools or medical search engines, the Kanza AI system works a case the way a physician does — weighing evidence, flagging where it’s uncertain, and citing every step so its reasoning is auditable and reproducible.

In an independent evaluation of 1,060 randomly sampled cases, scored across 32 dimensions of clinical reasoning, Kanza ranked first overall against Claude, GPT, Gemini, and OpenEvidence. In blinded head-to-head scoring, three independent AI judges each ranked it first. In addition, a leading health system’s medical panel rated Kanza first after a nine-month evaluation that screened frontier LLMs and more than 200 AI startups.

On the MedXpertQA and USMLE benchmarks it posts the highest accuracy score of any model evaluated and the widest reasoning lead — roughly 0.8 points (out of 5) ahead of every frontier model tested — and its reasoning layer lifts every model it runs on, open-source and frontier alike, by an average of 0.6 points.

“It was designed for me as a physician and for my clinic. It reasons the way I do, to support me. A colleague, not a co-pilot or just a scribe. This is how medicine should work with AI.”

Dr. Jan Rydfors, MD, FACOG — Stanford-trained OB-GYN, Assistant Clinical Professor at Stanford Medical Center, Co-author of The Red Book

Kanza tunes best-in-class open-source models against its proprietary clinical substrate; GraphN orchestrates the models, tools, and agents behind Kanza’s workflows across cloud, on-prem, hybrid, and air-gapped deployments.

“Healthcare has a knowledge access problem — how to turn proprietary data into intelligence that works at the point of care. GraphN, running on Lightning AI’s NVIDIA infrastructure, provides the production backbone that helps deliver Kanza’s CRS. Every clinical decision makes the system more grounded, more auditable, and more local.”

Samir Arora, Founder & CEO, Kanza AI

More than 30 physicians across leading US and Japanese institutions are co-developing the system through Kanza’s peer-nominated Specialists Program, with no paid acquisition.

About Lightning AI. Lightning AI is the company behind PyTorch Lightning and an NVIDIA Cloud Partner. GraphN is Lightning AI’s Agentic AI platform — a unified hardware and software stack that lets organizations build, evaluate, compare, and operationalize AI workflows on dedicated NVIDIA GPUs in complex enterprise environments, across cloud, hybrid, on-prem, and air-gapped deployments. Learn more at lightning.ai.

About Kanza AI. Kanza AI builds clinical reasoning AI for physicians at the point of care, co-developed with clinicians, trained on proprietary longitudinal clinical data and deployable across cloud and sovereign — on-prem or air-gapped — environments. The company is in live clinical use across institutions in the US, is a member of the NVIDIA Inception Program, and was selected by Google in 2026 as top-tier Scale AI in Health. Kanza was founded in Silicon Valley by Samir Arora, with co-founders Jeet Kaul, Sal Arora, Raj Narayan, and Dr. Toby Cosgrove, Former CEO of Cleveland Clinic. Learn more at kanza.ai.