
EIX-Clinical Trials Intelligence
Real-world data extraction and clinical trial design intelligence for optimizing recruitment and safety outcomes.
Overview
EIX-Clinical Trials Intelligence is a Hybrid AI-powered platform developed by expert.ai for pharmaceutical and life sciences research teams. It is designed to unlock real-time insights that support clinical trial design, competitor analysis, and real-world data extraction — helping organisations navigate the complexity of drug development, which on average spans over 12 years, costs up to $2 billion, and succeeds only 10–15% of the time, often due to recruitment challenges or incomplete safety data.
The platform enables research teams to search millions of records simultaneously, extract real-world data from unstructured sources, create patient profiles, compare eligibility criteria, and identify trial locations. It consolidates related trials, publications, news, study results, and principal investigator information into a single platform, providing a comprehensive and up-to-date data landscape organised by disease, drug, mechanism of action, organisation, or geography.
Core Capabilities
- Rapidly identify and compare similar trials to optimise study design
- Integrate real-world evidence (RWE) to align trial design with actual patient populations
- Refine eligibility criteria to improve recruitment outcomes and reduce timeline risk
- Monitor competitor strategies and adjust trial designs accordingly
- Disambiguate across large volumes of content from clinical registries, scientific publications, and real-world data sources
How It Works
- Data integration and classification: Organises and classifies publications and trials to extract disease-focused insights from diverse data sources.
- AI-powered information retrieval and reasoning: Uses conversational AI to answer research questions instantly, enabling faster decision-making.
- Agentic AI for continuous learning and insights: Monitors and integrates new scientific data through adaptive learning, ensuring information remains current.
- Eligibility criteria matching: Classifies trials by inclusion and exclusion criteria to align patients or trial design with the most relevant research.
- Outcome summarisation: Categorises trials by endpoints and generates concise summaries of results for rapid understanding.
Key Benefits
- Faster and more accurate trial design and comparisons
- Improved recruitment through optimised eligibility criteria
- More relevant trial identification through integration of real-world evidence
- Faster patient enrolment with reduced timeline risk
- Smarter trial strategies informed by competitive intelligence
EIX-Clinical Trials Intelligence is built on a framework tailored specifically for life sciences, leveraging expert.ai's Hybrid AI approach — combining symbolic AI, machine learning, and large language models (LLMs) — alongside curated life sciences data and deep domain expertise. The solution is designed to be applied securely, transparently, and at scale across clinical trial design, safety monitoring, and competitive intelligence functions.

