๐Ÿ”” Validated at 94% precision on missed-billing detection โ€” explore our RCM platform โ€” see how it works
We solve real-world problems with AI

Revenue Cycle Management, powered by AI

Zorvaine speeds up billing cycles, minimizes claim denials, and accelerates cash flow for small clinics and urgent care โ€” plus an AI receptionist, automated dictation, and reconciliation tools that extend the same engine.

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Which one are you?

Zorvaine works differently depending on where you sit in the revenue cycle โ€” tell us which, and we'll take you to the part that's built for you.

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I'm a Medical Practice

Increase revenue without increasing administrative staff. Zorvaine identifies missed charges, documentation and coding discrepancies, and billing opportunities.

See how much revenue you may be missing โ†’
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I'm an RCM Company

Manage more revenue cycle work with the same team. Instead of hiring another coder or reviewer for every incremental group of practices, Zorvaine becomes a productivity layer for your existing team.

See how Zorvaine can increase your team's capacity โ†’
Our platform

RCM first. Similar engine, five ways we apply it.

Every product starts from the same idea: compare what should have happened against what actually got recorded, and hand the gap to a human to confirm. RCM is validated and live today; AI Receptionist is built and running; Dictation, Legal, and Tech extend the same engine from there.

AI Receptionist

Answers patient calls your front desk can't get to โ€” verifies insurance and books appointments.

Learn more โ†’

AI Dictation

Captures the visit conversation, drafts the clinical note, and maps it to ICD/CPT codes for billing.

Learn more โ†’
Next ยท Roadmap

AI in Legal

Agreements and filings vs. what was actually billed or executed.

Learn more โ†’
Next ยท Roadmap

AI in Tech

Specs and approved changes vs. what actually shipped.

Learn more โ†’
See all products on one page โ†’
Why it matters financially

Missed charges and slow claims add up fast โ€” even a few a week.

$500โ€“$2,000+/mo
Illustrative estimate for a small clinic catching just 3โ€“5 missed or unsupported charges a week. Not a guaranteed or measured result โ€” see the numbers we've actually validated below.
  • Built FHIR-standard, not locked to one EHR vendor โ€” works alongside athenahealth, Experity, eClinicalWorks, and others
  • Your biller sees exactly what's missing, checks it against the note, and either adds the charge or dismisses it โ€” nothing is submitted without their sign-off
Proof of concept ยท RCM

Real numbers from real testing โ€” not projections.

94.0%
Precision on missed-billing detection
90.1%
Recall on missed-billing detection
100%
Flags reviewed by a human before action
5
Products across the platform

Measured on synthetic (Synthea) clinical data against a held-out test set the model never saw.

How the engine works

The same three-step loop, wherever we apply it.

STEP 01

Ingest two records

The source of truth and the actual output โ€” e.g. a clinical note and its billing, a contract and its filing, a spec and its shipped code.

STEP 02

Compare & detect

The model reads both records and finds mismatches: things done but not recorded, or things recorded with nothing behind them.

STEP 03

Human review

Every flag is queued for a qualified person to confirm before anything changes. Zorvaine is assistive, never autonomous.

Contact us

Let's talk about working together.

Whether it's healthcare billing, legal document review, or a conversational AI front desk โ€” fill out the form and we'll be in touch.

Prefer email? Reach us directly at info@zorvaine.com.

Prefer to call? Reach us at +1 (469) 536-0817.