See where documented risk and actual risk diverge
Population RAF, risk bands, and open HCC recapture opportunity, computed by rules you can read.
Value-based care numbers you can defend
One screen for attribution, risk, quality, cost, and shared savings, with a benchmark and verdict per KPI
Risk-bearing organizations run value-based care on platforms they cannot inspect, spreadsheets nobody wants to defend, and a reporting load that keeps growing.
You are asked to forecast shared savings without knowing which levers move the number.
Test every lever and check the arithmetic line by line, before anyone else asks.
You are asked to forecast shared savings without knowing which levers move the number.
Test every lever and check the arithmetic line by line, before anyone else asks.
Population RAF, risk bands, and open HCC recapture opportunity, computed by rules you can read.
Attributed lives, cohorts, risk distribution, and headline KPIs on one screen, so the whole program reads at a glance.
HEDIS measurement logic and Stars tracking prioritize open gaps into a worklist, and closure moves through a defined workflow.
PMPM comes from adjudicated paid amounts and real enrollment, alongside medical loss ratio and utilization drivers.
Toggle an intervention and the deterministic projection recomputes against your benchmark and contract targets.
Provider scorecards, performance tiers, network adequacy, and out-of-network leakage, against governed thresholds.
Every risk score, cost figure, and savings projection comes from auditable code and traces to its source record.
Run it in your cloud or data center, or embed it in your own product. You receive the source, and nothing in it phones home.
The foundations are already built, so your engagement goes to your data, your workflows, and your clinical logic.
~1 hour
Decision turnaround, down from 2 days
78%
Fewer appeals, from 45 to 10 per 100 cases
6.4 min
Median time from inbound file to created case, down from 3 hours
Faxed requests, long PDFs and manual criteria checks slowed every review and fed a high appeal rate. We built an AI-native utilization management platform that structures intake, summarizes the record and recommends actions, and clinicians make every decision.
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Bhupesh Nadkarni
Head, Healthcare
We build it. You own it.
