Two ways to see Provira. One takes fifteen seconds and needs nothing from you — no login, no email, no patient data. The other is the full platform, and we'll walk you through it.
Pick a payer, enter a few CPT codes, and Provira runs the national CMS edits against them — NCCI bundling with the modifier indicator, MUE unit limits, add-on and modifier rules. No file, no data of yours, nothing stored.
Codes only. No PHI, no login, nothing stored.
Try it belowNine specialty workspaces, role-based logins, the denial worklist, the appeals queue, credentialing cases, underpayments, claim tracking, and the learning loop running end to end on synthetic data.
Twenty minutes with someone who can answer the hard questions.
Book a demoTry it
A sample batch across orthopedics, primary care, imaging, and therapy. Run the check and see what Provira catches before submission — and which layer caught it.
Provira · pre-submission check
Sample data
A simplified preview running on sample claims — no real patient data. The rule logic shown reflects Provira's design; how it behaves on your own claims is established during the free denial review.
Rule sources: CMS National Correct Coding Initiative procedure-to-procedure edits and Medically Unlikely Edits; CMS therapy billing guidance for timed units; payer prior-authorization policy; and learned payer rules promoted by a certified coder. CARC codes are the standard claim adjustment reason codes payers return.
What the demo is honest about
We'd rather you see the seams than be surprised by them later.
The free denial review
De-identified, codes only — and we start with the smallest ask that tells us anything. We run it through the same engine and tell you what's actually driving your denials: not a tidy list of things to go fix, but the shape of the problem and what it costs you every month it continues.
We could hand over every fix. We've decided not to, and we'd rather say so plainly than be vague about it.
A list of corrections is worth about a month. Your payers change policy, CMS reloads its tables quarterly, and staff turn over — so next month there's a new list. What you actually need is something that catches these at submission, every time, without anyone remembering to look. That's the product, and a report can't substitute for it.
So you get the full picture of the problem, worked examples that prove we know the fix, and a straight count of the rest. If you'd rather take the diagnosis and handle it in house, that's a legitimate outcome and no hard feelings — you'll know more than you did.
What the line-level export needs: one row per line of service, including both paid and denied lines, with claim number, payer, procedure code, modifiers, units, diagnosis, paid-or-denied status, and denial reason.
Why the diagnosis and the paid lines matter: they're what a standard denial report usually leaves out, and they're exactly what the analysis needs. Without the diagnosis a medical-necessity pattern is invisible. Without the paid lines there's nothing to compare a denial against — the paid claims are the control group.
Don't send names, dates of birth, member IDs, addresses, or clinical notes. Not in the summary, not in the detail. If your export includes them, strip them first — ask us and we'll tell you exactly which columns to keep and which to delete.
There's no upload form on this website, deliberately. Files come through a controlled channel after we've spoken, not through a web page. That's one fewer place a file can end up somewhere it shouldn't.
We use your file for your review and nothing else, and we delete it afterward unless you ask us to keep it.
Send a de-identified report and we'll tell you the shape of the problem, what it costs you monthly, and how much of it is preventable.
