The landscape of clinical operations is shifting rapidly, with data strategies and AI innovation taking center stage. As trials become more complex and decentralized, the volume and variety of data, from Electronic Data Capture (EDC) and Electronic Health Records (EHR) to biomarkers and real-world evidence (RWE) have exploded. However, a critical bottleneck remains: fragmented, messy, and siloed data that slows down decision-making and hinders the adoption of AI in clinical workflows.

At Elucidata, we empower clinical operations and R&D teams to overcome these barriers by making their clinical data AI-ready at scale. Our platform, Polly, streamlines the ingestion, harmonization, and quality control of diverse clinical and multi-modal datasets. By unifying these data assets into a structured, compliant foundation, we help organizations reduce data cleaning time, ensure inspection readiness, and fuel predictive models that optimize trial design and execution.

Meet our team, Vaibhav Mittal and Sachin Kumar Gupta, at the SCOPE Summit to learn how we are solving the data quality challenge in clinical research and enabling faster, data-driven operational insights.