What makes an AI healthcare platform truly intelligent?
For nearly two decades, Persivia has been answering that question by building top-notch AI Healthcare Platform that gets smarter with every patient interaction. With stewardship of over 160 million patient records across 200 hospitals worldwide, Persivia’s impact is reshaping the future of value-based care and intelligent healthcare across the globe.
These milestones position Persivia for continued growth, but what truly sets the company apart is how its platform operates differently than traditional healthcare technology.
Strategic Investment Fuels Global Expansion
Aldrich Capital’s investment represents more than financial backing. It’s a strategic enabler for Persivia’s international growth ambitions. The investment directly funds global expansion initiatives and go-to-market execution across new geographies. This capital infusion has already materialized with the November opening of regional headquarters and a Center of AI Excellence in Riyadh, Saudi Arabia.
This expansion positions Persivia at the forefront of Saudi Arabia’s Vision 2030 healthcare transformation, bringing nearly two decades of proven value-based care expertise to a region actively modernizing its healthcare infrastructure. The investment enables Persivia to replicate its success across both established markets and emerging healthcare ecosystems, scaling the AI-first CareSpace® platform to serve diverse populations worldwide.
Protecting Innovation: The Soliton® AI Engine Patent
Persivia secured U.S. Patent No. 12,254,975 B2 for its Health Data Processing System, which protects the Soliton® AI engine at the core of CareSpace®. The patent defines a highly automated, AI-powered triage and task-management system that takes complex, disorganized data from multiple sources, normalizes it, and uses machine learning to produce a constantly refreshing, prioritized sequence of actions for healthcare professionals.
The patented capabilities include four core processes:
- Data Preparation and Structure Normalization
The system receives healthcare data from multiple EHRs and transforms data from different formats into a consistent structure. It aggregates data feeds into consolidated entities, reduces redundancy, and enriches records by identifying and adding curated information from various sources. - AI-Driven Insight Generation
Prepared data is processed through trained statistical models that surface hidden relationships between patient records and clinical interventions. The system encodes these insights as explicit values, enabling predictive and prescriptive intelligence. - Dynamic Workflow Generation
The platform generates ordered lists of healthcare events including tasks, alerts, and appointment requests that are prioritized by time, criticality, and clinical evidence. This prompts healthcare professionals to provide care sequentially based on calculated clinical necessity rather than arbitrary scheduling. - Continuous GUI Updates
The system provides a graphical interface that automatically repositions elements as workflows continuously update, based on real-time outputs from the statistical model, with visual indicators showing priority, urgency, and severity.
This system acts like a hyper-efficient air traffic controller for busy clinics, constantly recalculating which patient event is most critical and needs immediate attention based on real-time data and projected risk.
This system acts like a hyper-efficient air traffic controller for busy clinics, constantly recalculating which patient event is most critical and needs immediate attention based on real-time data and projected risk.
Comprehensive Industry Validation: Persivia’s 2025 Gartner Recognition
Persivia earned recognition across four separate 2025 Gartner Hype Cycle reports, demonstrating the breadth and depth of its platform capabilities:
Recognition across seven separate Gartner research reports validates CareSpace® as a comprehensive platform addressing the full spectrum of healthcare data management, analytics, and care delivery challenges organizations face today.
How Does CareSpace® Use AI Differently Than Other AI Healthcare Platforms?
CareSpace® is designed around what Persivia calls growth loops, a self-reinforcing cycle where the platform continuously learns and improves from every interaction, every data point, every patient encounter.
The more healthcare data CareSpace® consumes, the more accurate its predictions become. The more care gaps it identifies, the better it gets at spotting them earlier. This creates a compounding advantage over time. The investment doesn’t just maintain value. It increases in value.
CareSpace® is an integrated AI-first digital health platform built specifically for the demands of value-based care. It doesn’t just aggregate data. It turns that data into actionable intelligence that helps care teams intervene at the right time.
Growth Loops: Why CareSpace® Becomes More Valuable with Every Patient Interaction
Most healthcare platforms depreciate like any other software. They require constant updates, patches, and workarounds to stay relevant. CareSpace® works differently. It appreciates value because it’s built on growth loops that create a self-reinforcing cycle of improvement.
Here’s how growth loops work in practice:
Every time a care team uses CareSpace® to identify a high-risk patient, the platform learns from that interaction. Every care gap closed feeds data back into the system. Every successful intervention teaches the AI what works. This creates a continuous feedback mechanism that makes predictions more accurate, interventions more targeted, and outcomes more consistent.
The more data CareSpace® processes, the better it performs.
When managing millions of patient records across diverse populations, the platform develops pattern recognition capabilities that a smaller dataset simply can’t match. It learns which interventions work best for specific patient cohorts. It identifies risk factors that might not be obvious in smaller populations. It refines its algorithms based on real-world outcomes, not theoretical models.
Integration with over 3,000 healthcare data sources means the platform has access to a comprehensive view of each patient. Lab results, claims data, clinical notes, social determinants of health (SDoH), pharmacy records, and much more, feed into the growth loop. The bidirectional interoperability with every EHR ensures that insights flow back into clinical workflows, creating a closed-loop system where data drives action.
Rapid deployment accelerates the growth loop cycle.
Organizations start seeing returns measured in weeks, not quarters, which means the feedback loop begins immediately. Care teams aren’t waiting months to see value. They’re generating insights, taking action, and feeding data back into the system from day one. This reduces operational complexity while simultaneously building the foundation for long-term competitive advantage.
Looking Ahead to AI Healthcare Platform 2026
With the momentum from 2025 carrying forward, Persivia is positioned to expand its impact across both established and emerging healthcare markets. The investment will fuel platform enhancements that deepen AI capabilities, while the Riyadh Center of AI Excellence will drive innovation tailored for international healthcare transformation. CareSpace® will continue scaling its proven approach: managing larger patient populations, refining predictive accuracy through growth loops, and helping care teams close more gaps faster.
Learn more about CareSpace® or contact us or schedule a demo.
Table of Contents