platoseedplatoseed
Medical chart intelligence
Syntra is building the intelligence layer for medical charts: a unified system of record that aggregates data across point solutions and enables AI agents to automate administrative work. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent. Syntra has already processed over 1M patient encounters, supports hundreds of private practices nationwide, and processes $100Ms in medical claim charges annually.
Syntra offers a unified medical chart intelligence platform that learns a healthcare organization's workflows, payer rules, and software stack to optimize charting, coding, and audits. It positions itself as a specialty-aware system of record that reduces manual work and improves reimbursement accuracy.
Syntra aggregates data from the EHR, billing, and point solutions into a single source of truth and deploys specialty-tuned agents that learn the quirks of the software stack and payers. It provides end-to-end CPT/ICD-10 automation, autonomous pre-bill review to increase payments, full chart and claim audit coverage, and risk adjustment identification, all with no required engineering work. It also offers a free retroactive audit and a beta partner program with exclusive pricing, while emphasizing specialty-specific reasoning (e.g., Ophthalmology, Orthopedics, Dermatology, Optometry).
Who it’s for: Hospitals and health systems, specialty clinics, and outpatient providers seeking automated chart review, coding optimization, and payer rule compliance.
Backed by YCombinator; offers beta partner program; free audits and implementation discounts mentioned; HIPAA compliant and SOC2 Type II certified.
Ayush is the co-founder and CEO of Syntra. Before Syntra, Ayush was awarded the Goldwater Scholarship for his work on using EHR Data to simulate clinical trials. He studied Computer Science and Chemistry at Duke University where he first-authored papers in international AI + Healthcare conferences, featuring his work at the Broad Institute of MIT and Harvard and Duke AI Health.
Aniketh is the co-founder and CTO of Syntra. Before Syntra, Aniketh was studying Mathematics and Computer Science at Duke University. He has presented several papers at national conferences and was the lead engineer responsible for scaling an app from 0 to 8 million users.
Formerly “Lightning Medical” · why startups rename →
AI for streamlining healthcare paperwork
Medical coding automation
