Aequalis Payer Intelligence
The data is public. The intelligence is not.
MA enrollment, MA risk score, MA Star Ratings, and Medicaid managed care data, transformed into confidence-graded, decision-ready intelligence. Packaged for the decisions each buyer needs to make. Not a dashboard. Not a compliance tool.
The questions Payer Intelligence is built for.
Four ways teams put Payer Intelligence to work.
Each view runs on the same governed data layer. Watch it move, or jump to the one you need.
Enrollment & rank movement
Track every parent organization’s enrollment and rank across years, with M&A history merged so the line stays continuous.
- Continuous parent-org enrollment, merged across M&A
- Rank movement year over year, 2020–2026
- Spot the climbers and the retreats at a glance
Built on one governed data layer.
Two dozen public and claims feeds (enrollment, quality, risk, benefits, managed care, commercial clearinghouse, and third-party population projections) resolved into one governed model, so every output compares the same thing.
How It Works
Ingest
CMS MA enrollment, MA risk scores, MA Star Ratings, Medicaid plan data, ACA marketplace, commercial clearinghouse, population projections
We ingest the public enrollment, risk, and quality data sets that matter for payer strategy: CMS Medicare Advantage enrollment and disenrollment, RAPS and EDPS risk score files, MA Star Ratings, Medicaid managed care enrollment, ACA marketplace performance, commercial plan data from a claims clearinghouse, and third-party population projections.
Normalize
Entity resolution, plan/parent hierarchy, geography standardization
Raw data is messy. CMS, state Medicaid agencies, and marketplace data all name the same plan differently. We resolve plans to parents, standardize geographies to MSA and county, and build a unified plan model that makes cross-source comparison possible.
Grade
Confidence scoring, cross-source validation
Not all matches are created equal. We assign confidence scores to every plan, geography, and enrollment figure, cross-validate across sources, and flag inconsistencies so our outputs carry a reliability grade alongside every insight.
Package
Buyer-specific decision packs
We package outputs into buyer-specific formats: network competitiveness analyses for health plans, market sizing for HealthTech, and diligence packs for PE/VC investors.
One governed data layer behind every answer.
Enrollment, risk, quality, and Medicaid: reconciled once, graded for confidence, and packaged for the decision in front of you.
Continuous enrollment history
Parent-org enrollment merged across M&A so every trend line is unbroken from 2020 to today.
County-level resolution
Enrollment density and year-over-year growth down to the county, filterable by parent org.
Cross-LOB footprint
Carrier 360 shows MA, D-SNP, C-SNP, and Medicaid presence side by side in one view.
Ask in plain language
The AI analyst writes and runs read-only SQL, then shows the exact query behind the answer.
Provenance on every figure
Each number carries its data-source basis and a confidence grade, never a black box.
Interested in Payer Intelligence?
Tell us what decision you need to make and we'll show you what the data says.
Get Access to Payer Intelligence