Decisions that stall
Value analysis committees wait on vendor-supplied projections that can't survive a rigorous financial review.
Predictive Financial Intelligence for Healthcare
See the financial outcome before you commit the spend.
Alpha VZN turns claims, reimbursement, price-transparency, and utilization data into a single decision-ready financial model — so MedTech teams, hospital finance leaders, and contracting teams can price, pitch, and approve with confidence instead of guesswork.
- 190M+Negotiated rates ingested
- 3,000+Hospitals modeled
- 15,000+Procedures & codes mapped
Procedure Detail
CPT 33361
TAVR Financial Model
MS-DRG 266 · inpatient-only
Revenue / case
$62.4K
Contribution
$17.9K$15.8K
Aetna DRG median
$91,148
UHC DRG median
$85,552
Labor cost$4.8K$6.1K
Disposable cost$32.5K$35.2K
GTM INTELLIGENCE
Launch Economics
Annual TAVR cases116
Device cost / case$32.5K
Revenue / case$62.4K
Story statusCFO-ready
Build the buyer-ready financial case before the first pitch.
Volume, reimbursement, device cost, and contribution become one account story.
VALUE ANALYSIS
Product Economics
Revenue / case
$62.4K
Variable cost
$44.5K
Contribution
$17.9K
Commercial mix
Medicare mix
116 cases
Pressure-test adoption before spend is approved.
Model margin, payer mix, labor, utilization, and cost with finance-ready assumptions.
CONTRACT NEGOTIATION
Payer Rate Intelligence
Aetna comparable$91,148
UHC comparable$85,552
Negotiate from evidence, not anecdotes.
Compare payer reimbursement against similar hospitals and markets before the table.
SERVICE LINE GROWTH
Bronchoscopy with Biopsy
Monthly volume
80
Robot capital
$650K
Disposable / case
$1,850
Labor / case$1,200
Annual cases960
Model return before capital is committed.
At 80 cases per month, Alpha VZN can test robot cost, disposables, labor, and payer mix against a multi-year return.
Medicare PFS
OPPS / ASC
MS-DRG (IPPS)
Hospital price-transparency files
Payer TiC
The problem
Great products die in the financial conversation, not the clinical one.
High-stakes healthcare decisions rarely fail for lack of effort. They fail because market, clinical, contracting, and finance assumptions live in separate rooms — so no one can see the full economic picture clearly enough to say yes in time.
Adoption windows
MedTech teams pitch clinical value without knowing where a product fits a facility's DRG economics.
Left on the table
Contracting teams negotiate from anecdotes instead of benchmarked, facility-level reimbursement data.
Secure local modeling
Not another spreadsheet. A sharper way to see the decision.
Upload your hospital system rates locally and model against the contracts you actually live with. The data stays on your device, which means the financial scenario can become exact down to the dollar without sending your rates anywhere.
Hospital Workbench
My Rates
Your data never leaves this browser
Rates are stored locally in this browser's database. They are never sent to Alpha VZN servers, never synced across devices, and never visible to anyone else.
Browser-local
CPT
Procedure
Payer
Rate
33361
TAVR, femoral approach
Aetna
$91,148
33361
TAVR, femoral approach
UnitedHealthcare
$85,552
27447
Total knee arthroplasty
Anthem BCBS
$29,646
Commercial basis
My uploaded rates
The product · Value-analysis modeler
Financial modeling grounded in the drivers that change the case.
TAVR example
See the margin story before adoption becomes spend.
Alpha VZN brings reimbursement basis, annual cases, payer mix, implant and disposable cost, labor expense, and contribution impact into one finance-ready view. Leaders can test whether a program or product strengthens the service line before the decision is committed.
Weighted revenue / case
$62,400
Variable cost / case
$44,500
Contribution / case
$17,900
Volume
116 cases
Animated sensitivity range: 84 to 136 annual cases.
Labor expense
$4,800
Clinical labor, room time, cath lab support, and staffing intensity.
Commercial
45% to 52%
Medicare
45% to 38%
Medicaid / self-pay
10%
Valve + disposables
$32.5K
Labor
$4.8K
Other variable
$7.2K
Medicare margin
$15.7K
Modeled 3-year contribution range
$4.5M to $8.4M
Signature capabilities
Where the data becomes a decision.
An AI layer on top, two workhorse features underneath — all running on the same validated dataset.
Ask Alpha · AI
Ask anything. Get the number.
Ask Alpha turns the entire dataset into a conversation — instant contract comparisons, device integration planning, payer benchmarks, and margin questions answered in plain language, grounded in verified rates instead of a model's guess.
Find the money left on the table.
For any hospital, Alpha VZN surfaces every code × payer line where same-state peers are paid more — ranked by dollar gap, volume-weighted where Medicare data exists, and exportable as a branded negotiation packet.
Ranked byDollar gap
OutputNegotiation packet
Grade a hospital — or a whole system.
Score any facility A–F against federal price-transparency rules (45 CFR 180.50), with data-integrity checks that catch impossible rates and duplicates, then roll penalty exposure up across an entire multi-hospital system.
GradingA–F scorecard
RollupFleet-wide CMP
One dataset · Both sides of the table
Two products. One financial truth.
The same reimbursement engine is sold into the seller and the buyer — and each side pulls the other in. Reps demoing in the field create inbound from the CFOs and contracting teams they sell to.
MedTech & device teams
Turn a clinical pitch into a CFO-ready financial case — from a single field rep up to an entire sales organization.
- GTM intelligence Show value analysis exactly how your product moves the hospital P&L — per case, per site of service.
- Account & territory intel Per-account reimbursement math and buyer-ready packets that create inbound from CFOs.
Hospitals & health systems
Model adoption, benchmark contracts, and audit compliance — for one service line or an entire multi-hospital system.
- Value analysis Drop in your own negotiated rates — browser-local — and run adoption scenarios against real contracts.
- Price transparency Benchmark who pays what across hospitals by payer, with a compliance scorecard for posture.
- Service line growth Roll up volume, cost, and contribution across every procedure in a program.
Shipping fast · Inside the platform today
Why it's defensible
The hard part isn't the data. It's making it trustworthy.
Signal from the noise
Public hospital price files are mostly noise. A multi-layer quality pipeline scans hundreds of millions of raw records and keeps only the rates that survive rigorous validation. The filtering is the moat.
Checked from both directions
Hospital-published rates are cross-referenced against payer Transparency-in-Coverage filings — the same negotiated rate seen from both sides of the contract. Nobody gets that confidence from one source alone.
Built to run lean
A fully client-side architecture with no customer data to secure means near-zero marginal cost — margins that scale with the dataset, not with headcount.
The opportunity
A market being forced into the open.
Federal price-transparency mandates are making this data exist for the first time — across 100K+ U.S. medical-device reps and every hospital and health system in the country. Legacy transparency platforms and sales-intelligence tools are desktop dashboards that require you to hand over your data. Alpha VZN is mobile-first, needs no data ingestion, and speaks to both the buyer and the seller.
100K+
U.S. medical-device reps on the sell side
Every
U.S. hospital, now federally mandated to publish rates
- Mobile-first
- No data ingestion
- Both sides of the table
- Regional + payer context
Read the full thesis →“When both sides of the table can see the same number, the decision gets made.”
Built by someone who lived the problem
Two decades in healthcare. One clear conviction.
Ryan Bell has spent more than two decades across hospital systems, medical-device commercialization, and health-system financial strategy — holding P&L responsibility for portfolios representing hundreds of millions in revenue, and sitting on both sides of the table when capital decisions are made. He built Alpha VZN to close the gap he watched sink great products: the absence of a shared financial lens.
Coming soon
Predictive clarity is becoming the new advantage.
Alpha VZN is being built for healthcare teams that need to understand the financial consequence of the next move before capital, contracting, or clinical adoption decisions are locked in.
Waitlist
Enroll for early access
Prefer direct contact?
Connect on LinkedIn