MediVerify AI

About

Checking the paperwork shouldn't take all day.

Billing teams, auditors, accountants and law firms spend hours comparing bills and medical records with a client list — one page at a time — to make sure the name, date of birth and date of accident agree. It's slow, easy to get wrong, and the mistakes are expensive.

What MediVerify does

MediVerify reads each document with OCR, finds the right client in your list — even with misspellings, nicknames and aliases — and checks the dates against your record. Clean documents are marked verified; the rest are shown with exactly what disagrees, highlighted on the page, so a person only looks at what needs a person. Results export to Excel, CSV and JSON, or flow into your systems through an API.

How we build it

Four principles.

Show your work

Every flag names the field, the page and the confidence, and boxes the value on the original document. You should never have to trust a black box.

Be honest about uncertainty

OCR is never perfect. Low-confidence reads are flagged instead of silently trusted, and anything can be corrected in seconds.

Let teams set the rules

How strict matching is, how far a date of accident may differ, how long files are kept — those are your decisions, not ours.

Treat the data as sensitive

Per-organization isolation, encryption, roles, optional MFA, audit logging and redacted exports are built in, not bolted on.

Questions, partnerships or enterprise needs?

We'd love to hear from you.