Value-based care was supposed to reward better outcomes. Instead, it created a documentation and reporting burden that falls hardest on the people actually delivering care.
Clinicians are burning out. Practices are losing money on quality work. Networks are chasing charts instead of improving health. Payers are making decisions on incomplete data.
We started Kennar to fix this. Not with another portal or dashboard, but with an AI teammate that works alongside clinical teams and makes the hard work visible, captured, and rewarded.
our mission
Help clinical teams deliver the highest quality care to every patient, and get appropriately recognized and reimbursed for it.
Reduces friction across your provider network. Capture happens at face-to-face encounters where CMS requires it, so data holds up under chart review records and RADV audits. Automated transitions reduce preventable readmissions.
what we believe
What makes Kennar special?
The people doing the work should get the credit.
Clinicians, practices, and networks are already delivering great care. The problem isn't effort. It's that the system doesn't capture it. Kennar closes that gap.
The best AI disappears into the workflow.
We don't ask your team to learn a new tool. Kennar embeds into the visit itself, listening, assisting, documenting. No new portals, no extra steps, no disruption.
Point-of-care data is the only data that holds up.
Retrospective chart reviews are expensive and fragile. Data captured during the encounter, at the moment care is delivered, is more accurate, more complete, and audit-defensible. With CMS moving to exclude unlinked chart review records from risk score calculation, this matters more than ever.
Doing the right thing and getting paid for it should be the same thing.
When quality measures close during the visit, when chronic conditions are documented accurately, when post-discharge patients get timely follow-up, everyone wins. The patient gets better care. The provider gets recognized. The plan gets accurate data. Kennar makes that alignment real.
70%
HEDIS capture rates across deployed networks, up from industry-typical ~25%.
50%
Quality measures closed autonomously, gaps that previously required manual outreach or chart chasing.
0.2 RAF
Lift estimated annually — based on an average of 2 additional HCC codes captured per encounter.
2 hr/day
returned to physician and support staff—time previously spent on chart prep & retrospective review.
We make your Security our priority
Meet the team
Built by people passionate about seamless care delivery.
Deepu Alexander, MD
Product and Medicine | Co-founder
Brings clinical depth & firsthand understanding of the documentation burden facing frontline care teams.
Dr. Aju Samuel
Strategy and Operations | Co-founder
Leading go-to-market strategy, payer and network relationships, and operational execution.
Savinay Shukla
Engineering
Building the core platform and EHR integration layer that powers Kennar's point-of-care intelligence.
Anirudh Iyer
Engineering
Developing the agentic AI systems, data infrastructure, and APIs that make Kennar's clinical data accessible at scale.
Satyajit Sriram
Engineering
Focused on ambient capture, real-time clinical workflows, and the interfaces clinicians interact with every visit.
