Healthcare Data Quality Platform

Transform Data Quality
from Reactive to Predictive

AI-powered anomaly detection that spots issues before they reach your clients. Dynamic thresholds that adapt to seasonality. Impact analysis that translates enterprise metrics into client-level visibility.

95%
Market Coverage
150+
Data Suppliers
~20
QC Analysts Today

The Challenge Today

Manual processes and static rules can not keep pace with the complexity and volume of healthcare data

People-Dependent QC

~20 analysts manually reviewing Excel, Alteryx outputs, and Python reports. Static ±3-5% thresholds miss seasonality patterns.

Issues found after client reports them

No Impact Visibility

Enterprise-level metrics mask client-specific impact. A 0.5% enterprise issue can mean 20-30% impact for a specific client.

Client impact discovered too late

Batch-Oriented Processing

Weekly EDW processing means issues wait until Friday close. No early warning as data arrives daily.

6-7 month supplier onboarding
“Quality is good today, it's just a manual effort with many people dependencies. I need to remove manual interventions as much as possible.”

— Deric Joseph, Symphony Health Solutions

Powered by Great Expectations

The Solution: GX Core + AI

Leverage your existing Great Expectations investment with an AI enhancement layer that adds dynamic intelligence

GX Core Foundation

You already own this

ExpectationsValidationData Docs

AI Enhancement Layer

Bounteous value-add

Dynamic ThresholdsSeasonalityImpact Analysis

Maximize Your Investment

You already have GX. We help you unlock its full potential with ML-powered intelligence on top.

Dynamic, Not Static

Thresholds that learn from history and adapt to flu season, year-end patterns, and supplier-specific behavior.

Client-Level Impact

Know exactly which clients are affected and by how much. Enterprise metrics translated to actionable insights.

Plug-in, Not Replace

Works with your existing Oracle pipeline. No big-bang replacement. Start seeing value in weeks, not months.

Platform Capabilities

Everything you need for intelligent data quality management

GX Expectations

300+ built-in validation rules including Z-score outlier detection, null checks, and distribution analysis.

Dynamic Thresholds

ML-based thresholds that learn from 90 days of history and adjust for seasonality automatically.

Impact Analysis

Translate enterprise-level anomalies into client-specific impact with severity classification.

Early Warning

Detect issues as data arrives daily, not after weekly EDW processing completes.

Quality Dashboard

Real-time monitoring with trend analysis, anomaly history, and supplier health scores.

Automated Actions

Generate Jira tickets with context, send alerts, and route issues to the right teams.

The Impact Multiplier

Small enterprise issues have outsized client impact

0.5%
Enterprise-Level Anomaly
20-30%
Client-Level Impact

Our impact analysis engine maps supplier dependencies to show exactly which clients are affected and by how much—before they find out themselves.

See It In Action

Explore the interactive demo to see how GX Core + AI Enhancement transforms data quality management.