RyghtAI launches clinical site search engine to aid drug developers, CROs with trial design

RyghtAI has introduced RyghtSites.com, a free search engine designed to streamline the clinical site selection process for drug developers and contract research organizations (CROs). The platform leverages a proprietary network of AI Site Twins to provide data-driven insights into over 100,000 research sites globally. By addressing traditional delays in site identification, the tool aims to mitigate the common industry challenge where 80% of clinical trials fail to meet enrollment deadlines.

RyghtAI’s new platform, RyghtSites.com, provides a comprehensive database that allows users to search, rank, and download lists of top-performing clinical research sites. The tool is powered by a network of more than 60,000 AI Site Twins, which serve as digital replicas for over 100,000 global research sites across 192 countries. This AI-driven approach is intended to replace traditional site selection methods, which can typically take between three and six months to complete.

The search engine supports all phases of clinical trials and allows users to filter results based on specific criteria such as disease type, biomarkers, or geographic location. By providing immediate access to site data, RyghtAI aims to reduce the significant cost and time barriers associated with trial planning. The release highlights that site selection is a primary driver of delays in the clinical research sector, contributing to the high rate of missed enrollment timelines across the industry.

To demonstrate the platform's efficacy, Ryght cited a case study involving a CRO that utilized the tool to identify an oncology trial site in just 26 days. This implementation resulted in the site exceeding its recruitment goal by 330%. The launch of RyghtSites.com complements the company’s existing network of clinical trial sites, which has seen recent growth including the addition of West Virginia University to its partner roster last year.