Clinical AI Announces the Launch of MAIA™ Prescreening on Google Cloud Marketplace

MAIA^™, enabled by Google's Gemini models, brings advanced artificial intelligence-powered prescreening to clinical research, helping to expand patient access and accelerate clinical trial timelines.

NEW YORK, April 2, 2026 /PRNewswire/ -- Clinical AI, a healthcare artificial intelligence company focused on modernizing clinical trial operations, today announced that MAIA^™ Prescreening is now available on Google Cloud Marketplace, enabling healthcare organizations to deploy AI-driven patient screening workflows directly through Google Cloud.

"Bringing Clinical AI to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the company's MAIA^™ Prescreening solution on Google Cloud's trusted, global infrastructure," said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. "Clinical AI can now securely scale and support healthcare organizations that want to use MAIA^™ to screen patients faster and help accelerate clinical trial timelines."

Clinical trial enrollment remains one of the largest barriers to progress in medical research, impacting an estimated 80 percent of studies. Protocol complexity and manual chart review often require sites to screen thousands of patients, slowing trial timelines and increasing operational cost. Clinical AI developed MAIA^™ to address this challenge through scalable automation.

"MAIA^™ Prescreening was built to help research teams screen more patients, reduce workload, and accelerate clinical trial timelines," said Hamza Hasan, CEO of Clinical AI. "By making MAIA^™ available through Google Cloud Marketplace, we're expanding access to our technology to increase access to clinical trials for patients around the world."

Proven Impact in Real-World Clinical Research
In one oncology case study, MAIA^™ helped enable a clinical trial site to screen all 500 patients coming into the clinic every month, instead of screening 250 patients per month manually. "The result was an 80 percent increase in trial enrollment and an estimated $5 million in additional annual revenue for the site," said Alex Ravitz, COO of Clinical AI. "MAIA^™ consistently delivers greater than 95 percent prescreening accuracy across implementations and therapeutic areas."

Powered by Gemini on Google Cloud
MAIA^™ Prescreening uses Gemini models on Google Cloud, leveraging large context understanding and native document reasoning to analyze lengthy clinical protocols and patient histories with exceptional precision.

In addition to prescreening, MAIA^™ supports a broader set of clinical trial workflows, including:

• Interactive Virtual Assistants and Avatar Deployments, enabling patient and site engagement through AI-driven guidance trained on trial-specific documents and workflows.
• Trial Simulations, allowing sponsors and sites to analyze patient populations and optimize eligibility criteria before study launch.
• Financial Document Review & Generation, helping sponsors and research organizations evaluate and develop budgets, contracts, and trial-related financial materials more efficiently.
• Language Translation and Backtranslation, supporting multilingual trials with AI-driven document processing.
• Lab Information Management System (LIMS), providing end-to-end tracking from sample collection through testing and supporting reconciliation across EDC, central lab, and laboratory datasets.

By deploying through Google Cloud Marketplace, healthcare and life sciences teams can more easily integrate MAIA^™ into secure clinical environments while scaling screening capacity across multiple trials and sites.

Availability
MAIA^™ Prescreening is now available on Google Cloud Marketplace. Organizations can learn more at www.clinicalai.us or by emailing [email protected].

About Clinical AI
Clinical AI is a healthcare technology company developing artificial intelligence solutions that improve clinical trial execution, patient screening, and operational efficiency. Its flagship platform, MAIA^™, helps research teams identify eligible patients faster, reduce manual workload, and accelerate the path to life-saving treatments.

SOURCE Clinical AI