Now onboarding a small first cohort of practices

Billing that gets reviewed twice — once by AI, once by a human — before it ever reaches a payer.

Billnest is an AI-assisted revenue cycle management platform for small medical practices — built so a physician can trust the clinical accuracy, and a practice or business manager can see exactly what it costs before signing up.

Built HIPAA-first from day one — de-identification, audit logging, and human sign-off are enforced in the pipeline itself, not bolted on after.

The problem

Small practices lose real revenue to billing they can't fully see

Denials, upcoding risk, and documentation gaps quietly eat into collections — and the RCM vendors built to catch them are priced for hospital systems, not a 3-provider practice.

Denials pile up

A missed modifier or mismatched diagnosis code turns into weeks of rework — or revenue that never gets collected at all.

Enterprise RCM is out of reach

Most automated billing platforms are priced and built for large groups. Small practices are left with manual review or nothing.

"Automated" often means unreviewed

Fully automated billing without a human check trades one risk (slow) for another (wrong) — neither is acceptable with real patient claims.

Who it's for

One product, two people who need different things from it

A doctor needs to trust the clinical judgment. A practice or business manager needs to know the cost down to the dollar. Billnest is built to answer both without making either one dig for it.

For doctors & clinicians

Confidence that nothing gets billed wrong in your name

  • Every flagged claim is reviewed by a human before it's ever submitted — the AI narrows things down, it doesn't have the final word.
  • Built-in checks for upcoding risk, unbundling, and diagnosis-procedure mismatches, so you're not the one catching coding errors after the fact.
  • Patient data is de-identified before any AI model ever sees it — enforced automatically, not left to a policy document.
  • You keep visibility into what was flagged and why, without needing to learn a coding system.
For practice & business managers

Predictable cost, no surprise line items

  • Two pricing tiers, both public — see the exact platform fee and per-claim rate below before you ever talk to sales.
  • No long-term contract and no setup fee during early access — cancel any time.
  • One monthly invoice: platform fee + per-claim charges, itemized, no percentage-of-collections math to untangle.
  • A full audit trail and retention record for every claim, ready if you ever need it for an internal review.
How it works

Four stages. One human checkpoint. Every claim.

Nothing reaches a payer without passing through a licensed reviewer when the pipeline flags it — the AI narrows down what needs a human's attention, it doesn't replace them.

Standardize & de-identify

Incoming claims are normalized and stripped of identifying patient information before anything else happens.

AI coding audit

A de-identified claim summary — codes, dates, place of service, nothing that identifies the patient — is checked for upcoding risk, unbundling, and documentation gaps.

Human review

Anything flagged goes to a reviewer's queue. Nothing is submitted on the AI's word alone.

Submission

Approved claims are translated to standard EDI 837 format and routed to your clearinghouse for payer submission.

Security & compliance

Built around HIPAA, not retrofitted to it

Every architectural decision starts from "what does this claim actually need to see" — including what the AI itself is allowed to see.

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De-identification before AI review

Patient names, dates of birth, and identifiers are removed before a claim ever reaches an AI model — enforced at runtime, not just by convention.

📜

Tamper-evident audit trail

Every action on every claim is hash-chained and logged — who touched it, when, and what happened.

🧑‍⚕️

Human sign-off, always available

A flagged claim cannot reach a payer without a named, authorized reviewer approving it first.

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Defined retention, not indefinite storage

Claim records follow a documented 7-year retention schedule — nothing lingers without a reason.

Where we are today: Billnest's engineering controls (de-identification, audit logging, retention tracking) are built and verified. We're completing the remaining production-hosting and legal sign-off steps before any practice's live patient data enters the system. If you join early access now, you're joining the design partner conversation first — not sending live claims on day one.
Pricing

Two tiers. Both public. No "contact sales" for a number.

Founding-cohort pricing for early-access practices — a flat monthly platform fee plus a per-claim rate that drops as your volume grows.

Founding rate — locked for as long as you're a Billnest customer
Starter
Solo & small practices — up to ~300 claims/month
$199/mo platform fee
+ $1.25 per claim processed
  • Full 4-stage pipeline: standardize, AI coding audit, human review, EDI submission
  • Human review included on every flagged claim — no extra charge per review
  • Hash-chained audit log & compliance reporting
  • Email support
Example: a practice processing 250 claims/month on Starter pays $199 + (250 × $1.25) = $511.50/mo total. A practice processing 600 claims/month on Growing Practice pays $399 + (600 × $0.65) = $789/mo total. No percentage-of-collections fee, no setup fee, no long-term contract.

These are founding-cohort rates, not our long-term list price. They're intentionally introductory while we onboard our first practices — and once you're in, your rate is locked for good. It won't rise later just because our list price does; that increase only applies to practices who join after the founding cohort closes. No card is charged today — early access starts with a conversation, not a bill.

Want to be one of the first practices?

We're onboarding a small first cohort of practices to shape the product before a wider launch. Tell us a bit about your practice and we'll reach out.

Request early access