Payers

Expand high-value membership segments, drive operational efficiency, and improve medical cost management through predictive analytics and AI agents.

Case Studies

Can a national benefits provider regain platform stability without rebuilding its entire system?

Invene traced recurring data failures to their source, corrected brittle third-party integration patterns, and defined a technical roadmap to reduce long-term dependence on external vendors.

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Scalable Systems
Product Strategy
Back-Office Automation
Data Consoldation

Can a member-facing web portal be built in 8 weeks?

Invene achieved the tight deadline of 8 weeks to build Evry’s member-facing portal, saving over $5MM in revenue, which led to their eventual acquisition.

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Patient Portals & Accessibility Revamp
PHI Compliant Applications

Can population health insights scale across partners and channels?

Invene built an AI-driven platform and a full design system with coded components to deliver insights across web, native, and wearables.

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Population Health Analytics
Enterprise Data Warehouse
Scalable Systems
Multi-Stakeholder Platform Design

Can an AI platform actually predict risk better than everyone else?

Invene designed the Patient Health Forecast and DS workbench that won CMS’s AI Health Outcomes Challenge and Best in KLAS.

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Machine Learning & Predictive Analytics
AI-Driven Diagnostics & Decision Support
Population Health Analytics
Human-in-the-Loop Clinical AI Systems
Strategic Product Visioning

Can you transition from an on-prem solution to Microsoft Azure?

Invene transitioned their whole on-prem software application, including their reporting modules, to the cloud on Microsoft Azure.

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On-prem to Cloud Migration
Enterprise Data Warehouse

Can data processes be centralized and unified to enhance business intelligence?

Invene architected a scalable Enterprise Data Warehouse, integrated fragmented data sources into a unified structure, using data fabric principles to streamline analytics and decision-making.

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Enterprise Data Warehouse
Data Fabric & Unified Data Access

Can a complex quoting process be automated and optimized?

Invene developed a quoting automation system that streamlined bid generation through intelligent workflows, reducing manual effort while optimizing cost structures and consolidating platform dependencies.

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Cost Optimization
Platform Consolidation

Can external business data for better decision-making be efficiently gathered and structured?

Invene implemented an automated data extraction process that leveraged authenticated sessions and intelligent automation, ensuring seamless and reliable data aggregation for real-time insights.

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Robotic Process Automation

Can security issues be resolved on a system processing millions of claims a day?

Invene designed a whole new architecture and deployment process for a critical system with millions of claims transactions a day.

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Critical Access Platforms
On-prem to Cloud Migration

Can health outcomes for a population with limited data be predicted?

Invene predicted health outcomes for low socioeconomic populations based on few-shot data.

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Population Health Analytics
Machine Learning & Predictive Analytics

Can the accounts receivable process for tens of thousands of members be improved?

Working closely with Community Health Options’ team, Invene improved accounts receivables processes that effect tens of thousands of their members.

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Cost Optimization
Enterprise Data Warehouse

Tackling the Hardest Software & Product Problems in Healthcare

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