Oracle deepens life sciences push with AI agents, real-world data analytics

ORLANDO, Fla.—Oracle is expanding the capabilities of its life sciences AI data platform with domain-trained AI agents, enhanced analytics tools and natural-language data exploration aimed at accelerating clinical research.

The company launched its Oracle Life Sciences AI Data Platform in January, positioned as a foundational data platform for life sciences. The company said the platform uses generative AI, agentic reasoning and customizable AI agents to help pharmaceutical, medical device and research organizations accelerate drug development, clinical trials, safety monitoring and commercialization efforts.

Building on that effort, the company has expanded the platform, now rebranded as Life Sciences Data Intelligence, with AI and real-world-data capabilities built for life sciences workflows. Research teams can use these capabilities to generate evidence, identify patients earlier in disease progression and support clinical research efforts, the company said.

Announced at the Oracle Health and Life Sciences Summit 2026 this week, the platform enhancements mark the next phase of the software giant's broader life sciences strategy. 

Oracle says the Life Sciences Data Intelligence platform combines a customer’s own data with the company's repository of real-world data, which includes over 122 million longitudinal health records. The solution brings these data sources together in one secure platform and uses strong oversight controls to turn de-identified patient data into insights organizations can act on, Oracle executives said. The platform is also built to incorporate additional third-party datasets over time.