The US healthcare system doesn’t just lose money to complex care — it bleeds billions to administrative paperwork.
Every time a patient is treated, a massive operational nightmare begins behind the scenes. Armies of human medical coders have to manually translate clinical notes into complex alphanumeric codes just to bill insurance. If they make a single error or miss a specific detail, the payer denies the claim. This manual Revenue Cycle Management (RCM) inefficiency costs the US healthcare system over $250 billion annually, leaving hospitals waiting months to get paid for the care they already delivered.
RapidClaims is building the autonomous AI financial engine to fix this.
Founded by Dushyant Mishra, Jot Sarup Singh, and Abhinay Vyas, RapidClaims is an AI-powered revenue cycle intelligence platform built to eliminate claim denials entirely.
RapidClaims deploys a sophisticated system of over 118 self-hosted, self-trained AI models. To ensure absolute clinical and financial compliance, these models are designed to fact-check each other to eliminate hallucinations. Their flagship module, RapidCode, autonomously reads patient charts and assigns medical codes across 36+ specialties with 96% accuracy, processing over 1,000 charts per minute. Before a claim is ever submitted, their AI pre-scrubs it — predicting and resolving issues instantly to ensure a massive 93% first-pass clean claim rate.
The market? Major hospital systems, physician groups, and Accountable Care Organizations (ACOs) that want to maximize their reimbursements and slash their cost-to-collect by up to 70%.
Dushyant and his team are proving that the future of healthcare revenue isn’t a massive offshore coding back-office — it is highly accurate, autonomous AI.
It is incredible to see founders building solutions for the most complex, high-stakes workflows in the global economy.
Let’s celebrate the builders.
w/ Jay Ingle & Dikshant Joshi
#HealthTech #EnterpriseAI
