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EBIX launched a breakthrough Verified Medical Data Platform as part of its EbixONE AI initiative, that lets Universities, Hospitals, Publishers, Health Plans and AI Firms train their own AI models on two of the most trusted medical libraries in the world - Ebix Health Content and Wellness: A.D.A.M., a leader in patient education for over three decades, and Oakstone CME, a premier source of physician continuing medical education.
As healthcare organizations globally accelerate AI adoption, most new patient-facing assistants, education tools, and agent-driven workflows are still constrained by data quality and verification. Without certified medical knowledge, even well-built AI models can drift, hallucinate, or deliver inconsistent guidance. With Verified Medical Data Platform, partners can ingest A.D.A.M.'s thousands of medically-reviewed articles and one of the largest collections of medically accurate illustrations along with Oakstone CME's clinical research summaries and evidence-based guidelines to train their AI models. As an add-on, organizations can also deploy Ebix's embeddable AI experiences, the Health Assistant and Symptom Navigator, built on A.D.A.M. content to provide a ready-to-integrate option across their portals and websites.
"Ebix has spent decades building trusted medical content libraries supported by rigorous editorial and clinical review," said Gagan Sethi, CEO of Ebix Technologies. "We already power B2B healthcare ecosystems through proven delivery models and deep integrations. As healthcare organizations accelerate AI adoption, we are extending that partnership, giving organizations the governed data foundation and infrastructure they need to build AI systems safely. It strengthens our health vertical and expands our revenue opportunity as organizations worldwide invest in clinically compliant AI."
Platform Features
The Verified Medical Data Platform includes:
Global Availability and Licensing
Verified Medical Data Platform is available immediately for pilot deployments Worldwide with general availability planned for Q1 2026. Early deployments will be scoped jointly with each partner. Licensing is structured through flexible enterprise agreements based on content scope, deployment model, and governance requirements. Options include annual term licenses, usage-based API access, and MCP server enterprise subscriptions.
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