Healthcare Providers
Hospitals, clinics, physician groups generate clinical documentation.
We're building an AI coder that's accurate, audit-ready, and fast enough to matter.
Medical coding sits at the center of a multi-trillion-dollar reimbursement pipeline — and a thin, stretched labor market is the only thing routing claims through it. For a decade, NLP wasn't good enough to read a clinical note reliably. Frontier LLMs changed that. We're shipping the workflow that finally meets the bar.
Our Mission
Turn 30 minutes of expert work into 30 seconds — without giving up the audit defense. Coders stay in the loop where it matters; the AI does the mechanical reading and lookup so humans can focus on judgment.
Where coding sits
Clinical notes in. Coded claims out. Reimbursement back.
Medical Billing
Notes are translated into coded claims and submitted upstream.
Managed Care
Private insurance and government payers reimburse providers.
Our Approach
Read · Ground · Verify.
Three principles. Three layers in the pipeline. Each one designed to make the next coder's job easier, not harder.
01
Read
A frontier LLM ingests the full chart, extracts every codable clinical fact, and captures the reasoning chain for each.
02
Ground
Candidate codes come from an indexed ICD / CPT / HCPCS corpus. The model selects from real codes — never hallucinates them.
03
Verify
Coders review, accept, or correct. Every correction becomes training data, tightening the model with every claim.
The Team
Stealth mode — rooted at the National University of Singapore.
We're in stealth to stay focused on early design partners, iteration speed, and reliability before a wider launch. That means we're selective about outreach and public storytelling for now — not secrecy for its own sake, but heads-down time to earn clinical and billing trust in the product.
MedicalCode AI spun out of the National University of Singapore (NUS) — one of Asia's flagship research universities. The team blends exposure to rigorous NLP, large language models, and healthcare workflows from the NUS ecosystem with the pace of a product company shipping to real coders and providers.
More on the people behind the work soon; until then, the pipeline and outcomes speak for us.
See it in action