Get to know Percipio

Reaching more populations to help elevate care and those who deliver it.

Our Purpose

Elevate care by elevating those who deliver it

We help providers and payers expand and evolve how they support populations of growing size, risk, and complexity. With the power of AI, our population health monitoring and management platform collects and analyzes multiple health signals to inform a whole-person view of health, provide automated and personal interactions, and AI-guided insights.

Streamline clinical operations

Reduce clinical inefficiencies, costs, and operational friction.

Expand capacity and risk management

Increase capacity and ability to manage populations of growing size and risk.

Enhance value-based outcomes

Improve value-based programs and outcomes.

Our Team

Connect with Percipio leadership

A customer-focused team of innovators, entrepreneurs, and technologists

Eric Rock

CEO & Co-Founder

UX dreamer / wannabe CTO / customer-obsessed entrepreneur

David Lucas

Chief Strategy Officer & Co-Founder

Senior health advoneur / Health Signal connector/ track & field enthusiast

Katie Flores, BSN, RN

Chief Product Officer

Nurse, product dissector / life-long patient advocate

Eddie Canales

Chief Technology Officer

Experimenting and scaling nerd / robotics coach / board game designer

Jay Brookes

Chief Growth Officer

Revenue growth strategist / team builder / wannabe golf pro

Steve Richvalsky

Chief Financial Officer

Collaborative leader / team unifier / proud grandpa

Come work with us

Our advanced technology and AI are helping healthcare providers and payers improve value-based care and outcomes. Join us!

Explore OpeningsExplore Openings

News & Views

Stay up-to-date with Percipio

See AllSee All

5 min read

How dual RPM + AI will power Rural Health Transformation in 2026

As CMS’s Rural Health Transformation funding rolls out in 2026, rural health leaders must adopt a dual RPM strategy that combines clinically robust device-based monitoring with scalable smartphone-based signals to achieve whole-population visibility. Powered by AI, this integrated approach turns RPM data into actionable risk stratification, automated care plans, and streamlined workflows to enable earlier intervention, lower costs, stronger outcomes, and sustainable rural care delivery.

5 min read

The hidden costs of rising risk: Why proactive identification matters for health plans

Most health plans uncover member risk only after claims arrive—when costs are already climbing. This post explores how AI-driven, smartphone-based data collection can help identify hidden risks weeks or months earlier. By accelerating engagement and surfacing clinical, behavioral, and social health insights in real time, plans can intervene sooner, improve risk accuracy, and prevent rising costs before they take hold.

2 min read

MedCity News: Smarter population health—powered by the smartphones we already carry

The rapid advances in AI and smartphone technologies hold promise for many stakeholders in the healthcare system who need to understand what's happening with the patient in real time.