A working opportunity engine for healthcare revenue teams.
The Medigy Opportunity Atlas turns publicly available healthcare data into a queryable, reimbursement-aligned opportunity map — running in your environment, in plain SQL, ready for both humans and AI agents.
From public files to ranked opportunities.
Six stages. All inspectable. All in your environment.
Three commitments we don't compromise on.
Runs where your data runs.
DuckDB or SQLite inside your environment. No vendor lock-in, no data egress.
Logic you can read.
Every transformation is a SQL view your team can audit, fork, and extend.
SELECT cohort, hrr, AVG(pmpy_cost) FROM cost_of_care…
Tables agents can use.
Schemas, names, and grain are structured so MCPs and LLMs query without preprocessing.
Explore the product, layer by layer.
What it actually looks like.
Three of the canonical materialized tables your team — and your agents — query directly for high-fidelity market signals. The same tables size your addressable market — population × geography × reimbursable cost — without buying a TAM study.
-- Economic Density by condition × State/Locality SELECT condition_name, state_abbr, locality_name, printf('%,.0f', total_allowed_amt) AS market_magnitude, '$' || printf('%,.2f', allowed_per_patient) AS economic_density FROM mat_condition_state_breakdown WHERE condition_name IN ('Heart Failure', 'COPD', 'Type 2 Diabetes') ORDER BY allowed_per_patient DESC LIMIT 5;
| Condition | State | Locality | Market Magnitude | Economic Density |
|---|---|---|---|---|
| Heart Failure | FL | MIAMI | 84,221,400 | $14,240.50 |
| Heart Failure | TX | HOUSTON | 91,402,880 | $12,880.20 |
| COPD | AL | BIRMINGHAM | 46,118,510 | $11,510.15 |
| Type 2 Diabetes | NY | BRONX | 54,330,902 | $10,902.30 |
| Heart Failure | AZ | PHOENIX | 39,540,770 | $9,770.40 |
TAM, computed — not purchased.
Three dimensions, one number you can defend in front of a board, an investor, or a payer.
Addressable population.
Identify, size, and segment the patients with the diagnosis, procedure, or risk profile your offering serves — at HRR, ZIP3, or state grain.
Saturated vs. underserved.
Map where the need is concentrated and where supply is missing. The same view shows white-space markets and over-served ones to deprioritize.
Financial scope, not a guess.
Allowed spend, PMPY, and reimbursable code value combine into a defensible TAM and SAM — refreshed as utilization shifts.
Meet the Demand Signals Engine.
The marketing-activation layer of the Opportunity Atlas. 30+ compliant, non-claims data sources — search intent, environmental triggers, foot traffic, public-health surveillance — turned into ready-to-run campaigns for hospitals, health systems, physician groups, and the agencies that serve them.
Built for the question you're already asking.
The thing that lands on your BD team's desk.
- Archetype
- Longitudinal Care Recovery
- Q4 Opp. Index
- #1
- Magnitude
- $4.2B+ national opportunity in diagnostic-to-therapy conversion.
Sleep Apnea cohort, High-Density States — underserved by DME fulfillment.
6.2M addressable beneficiaries across 50 states show high diagnostic volume and active MA Star pressure. No incumbent fulfillment partner in 14 of 20 top markets.
See the Opportunity Atlas run against your roadmap.
30 minutes. We'll point it at the segment, geography, or product line you care about.