About VeriSight

Building admissions intelligence for skilled nursing facilities.

VeriSight Analytics, LLC is the company behind AdmitScoreā„¢. We help SNF teams review referral packets, payer risk, authorization readiness, documentation gaps, high-cost medication concerns, and financial fit before admission decisions.

Why we built it

Financial pressure shouldn't leak into clinical judgment.

When admissions, clinical, and finance read the same packet on the same readout, the financial picture starts shaping the clinical conversation. We built AdmitScoreā„¢ around two scores by role: Referral Fit (financial-free, all roles) keeps the clinical review clinical; Margin Score (admin-only) layers in PDPM and denial-risk for administrators.

This is the thesis. Everything else (payer signals, MA authorization readiness, documentation gaps, high-cost medication flags) is the surface area we built to make that thesis useful on a real referral packet.

Where we are right now

Founding pilot is live with our first SNF facility. Founding spots are limited. Built in Milwaukee, Wisconsin. Founder-led pilots, NHA-informed product.

Built by

Two people who have done admissions and operations, building one focused tool.

You'll work with both of us during the 60-day pilot. No tiered support queue, no account manager handoff.

Jack Thayer, Founder and CEO of VeriSight Analytics

Jack Thayer

Founder & CEO · Milwaukee, WI

Built VeriSight Analytics so SNF admissions teams stop making high-stakes calls from messy packets. Owns product, engineering, and reads every Founding Facility Pilot request personally.

Peter Thayer, NHA, Facility Operations and Implementation Lead

Peter Thayer, NHA

Facility Operations & Implementation Lead

Licensed Nursing Home Administrator with frontline operations and turnaround experience. The source of the operator-recognized language across AdmitScore; leads pilot implementation so the workflow fits real staff schedules.

Who we're building for

SNF operators who want focused tooling, not a platform rollout.

We're a deliberately small, focused company. AdmitScore is one product done deeply, not a CRM-plus-care-management-plus-EHR platform you have to commit to. That makes us a good fit for some operators and a wrong fit for others. Here's how we think about it.

Good fit

1-10 facility SNF operators who want focused referral-review tooling, value founder-led pilot support, and prefer healthcare-careful copy operators recognize over generic-AI vendor pitches.

Wrong fit

Multi-facility groups looking for a single pane that owns CRM, admissions, ops, and care management. Larger platform vendors fit that need better than we do. AdmitScore sits next to your stack; it doesn't replace it.

What we ask of pilot facilities

Operator feedback. We're constantly iterating from real-pilot input. That's how AdmitScore stays useful instead of becoming generic. The pilot agreement spells out the cadence and what stays confidential.

Operating principles

Credible healthcare software starts with clear limits.

Purpose-built for SNF admissions

Referral packet review, payer signals, MA authorization readiness, documentation gaps, high-cost meds, and PDPM/margin context. That's the whole job. No drift into adjacent products.

Human-reviewed by design

Staff verify every output against source documents and make every admission decision. AdmitScore returns planning aids, not approvals.

Compliance-careful by default

BAA before any PHI workflow. Public forms never receive PHI. Public examples use synthetic data only. Estimates are not guarantees of payer reimbursement.

Two scores by role

Referral Fit (financial-free, all roles) and Margin Score (admin-only). Designed so financial pressure stays out of the clinical conversation.

Founder-led during pilot

Direct founder access during the 60-day evaluation. Kick-off, mid-pilot review, and end-of-pilot readout led by Jack, with NHA-informed operational guidance.

No vendor lock-in

Pilot ends after 60 days; continuation is a fresh conversation. No auto-renewal surprise. Your data + decision history is exportable on request.