Find fraud before
it disappears
on paper.
Public billing data tells you what looks weird.
Aviato tells you who is secretly connected to it.
That is the logic.
Public billing data tells you what looks weird.
Aviato tells you who is secretly connected to it.
That is the logic.
Fraud detection in practice
CMS Medicare utilization, PECOS enrollment, Open Payments, and OIG exclusion lists surface who bills above peers, spikes on specific codes, or shares addresses with other suspicious providers.
Unusually high reimbursements, unusual procedure-code concentration, rapid growth versus peers, geography and specialty mismatches, same code pattern across multiple entities.
One suspicious entity becomes a full graph. Founder overlap, shared prior employers, repeated employee movement, same school cluster, mutual social engagement between executives.
Risk score = billing anomaly + network anomaly + compliance. Suspicious billing alone is maybe. Suspicious billing plus repeated hidden ties across multiple entities is a serious lead.
The intelligence behind the investigation
Four suppliers that all bill the same niche code can each look normal individually. Aviato surfaces the founder overlap, shared past employer, and repeated employee movement that connects them.
You are not proving fraud. You are finding non-obvious coordination — and giving investigators a defensible reason to ask why.
Read more about how it works →Positioning
Early Access · Now Open
Suspicious billing + hidden network ties = a lead worth pursuing.
Public data → Aviato graph → ranked investigation targets.
Built for qui tam firms, fraud investigators, and compliance teams.