Intelligent Solutions for Compassionate Care

Xaia empowers healthcare professionals with AI-driven solutions that streamline clinical operations, enhance patient engagement, and improve access to care. Our flagship platform offers a suite of automated intake and personalized support tools designed to help providers focus on what matters most—delivering compassionate, high-quality care.

Problems with Modern Healthcare

Provider Pain Point:

Admin Overload & Clinician Burnout

Providers are drowning in clinical documentation and intake forms—often spending 4+ hours a day on paperwork.

The burden of administrative tasks is overwhelming and over 50% of providers report feeling burnout, causing inefficient care delivery and high staff turnover.

Patient Pain Point:

Limited Access to Care & Lack of Support

Gaps in care leave patients disengaged and increase the likelihood of mental health crises, hospital readmissions, and non-adherence.

92% of millennial patients desire two-way communication with their healthcare providers, but most receive little to no support between visits.

Health System Pain Point:

Outdated Processes & Wasted Resources

Negative digital experiences cost health systems up to $400k over a single patient's lifetime, and can drive 80% of patients to consider a provider switch.

Health systems are losing money as they fail to optimize patient throughput and clinician productivity, impacting their bottom line.

Without more advanced solutions we’ll see more delayed treatments, lack of care, and high clinician burnout rates, compromising the quality and efficiency of healthcare services.

Introducing Xaia: Your Clinical AI Ally

Xaia is an intelligent, end-to-end clinical co-pilot that helps providers manage care delivery from start to finish.

Before the doctor visit:

Xaia automates the collection of patient medical histories, the administration of screening assessments, and the generation of clinical notes, offering differential diagnoses and suggested treatment plans to support clinical decision making. Xaia attempts to replicate the note template and style of the provider.

After the doctor visit:

Xaia provides round-the-clock conversational support, remote patient monitoring and progress tracking, and protocolized AI mental health support for patients. Mental health support includes borrows techniques used by professional therapists including Cognitive Behavior Therapy (CBT), Cognitive Processing Therapy (CPT), Motivational Interviewing (MI), Dialectical Behavioral Therapy, and others.

Benefits

Streamlined Intake & Operations

Saves physicians significant time on data collection, improves quality and accuracy of medical data, reduces wait times and increases patient throughput.

Automated Clinical Documentation

Generates comprehensive clinical notes and session transcripts in the style of the provider, reducing data input time and integrating directly with existing EHR systems.

Real-Time Patient Support

Enhances patient engagement and adherence, extends clinicians’ reach beyond in-person sessions, and provides 24/7 on-demand mental health support.

Rooted in Scientific Research

Developed at Cedars-Sinai

Xaia was trained and tested by top medical specialists at Cedars-Sinai Virtual Medicine Lab, a global leader in the research of digital therapeutics and virtual medicine. Leveraging cutting-edge healthcare insights, Xaia integrates multiple AI models crafted by doctors with decades of direct patient care experience.

Partnered with Leading Institutions

We are proud to collaborate with leading health organizations to bring cutting-edge technology to real-world healthcare contexts. By piloting our platform with practicing doctors in diverse clinical settings, we can better ensure our solutions are practical, effective, and aligned with the highest standards of healthcare.

Clinically-Studied and Peer-Reviewed

Developed at one of the world's leading emerging digital therapeutics labs at Cedars-Sinai, Xaia represents the culmination of nearly a decade of experience using digital therapeutics with thousands of patients. Our January 2024 publication in Nature Digital Medicine explores the untapped impact of combining spatial computing with AI to deliver immersive mental health support unlike anything before possible.