Leading Remote Care Management
Catalia Health is a leading chronic disease care management company that is transforming healthcare through the use of artificial intelligence and robotics. Our innovative technology platform is based on cutting-edge research in AI and psychology, and we have a proven track record of improving patient outcomes in oncology, immunology, cardiology, and dermatology.

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Unique Care Management
Features & Benefits
Features
- Cutting-edge AI and psychology research used to create innovative technology platform
- Proven ability to improve patient outcomes in oncology, immunology, cardiology, and dermatology
- AI platform capable of modeling each patient and tailoring conversations in real-time
- Mabu Robot, a device designed to interact with patients and increase engagement
- Consistent patient engagement resulting in longer time on therapy, with immunology patients staying on drug 30%+ longer with Mabu Care Insights Platform.
Benefits
- Improved patient outcomes in a variety of chronic diseases
- Personalized care through AI modeling and tailored conversations
- Increased patient engagement and time on therapy
- Proven success in increasing medication adherence for immunology patients
- Cutting-edge technology based on AI and psychology research

Our Team
Catalia Health’s team of experts in AI and healthcare are dedicated to transforming chronic disease management through innovative technology and personalized patient care.

Cory Kidd
The concept for Catalia Health is based on the Dr. Kidd’s Ph.D. work in AI & psychology at MIT. This is his second company.

Devon Edwards
Devon has developed deep expertise in the operational and regulatory aspects of healthcare that allow Catalia Health to be effective.

Shrabani Jain
Shrabani’s experience at Genentech, Oracle, and med device startups brings a depth of knowledge to help us move quickly in entrenched healthcare.

Jill Greczek
Jill’s graduate work at USC brings expertise in human-robot interaction that is reflected in every conversation with a patient