Ryght AI launched a clinical trial site “search engine” aimed at compressing site selection cycles for sponsors and CROs. The tool ranks sites using disease expertise and program fit, drawing from a database of more than 100,000 clinical research sites across 192 countries. Ryght claims a case study where a campaign that typically takes six months using traditional methods was completed in 26 days after using the platform. It also reported an 89.5% engagement rate from contacted sites, tying operational speed to measurable outreach performance. The launch follows recently reported financial backing from Accenture’s investment wing, positioning the product as a direct response to ongoing trial operational bottlenecks—particularly the time costs and coordination friction associated with activating sites. For trial strategists and CRO operators, faster site search and rank logic can translate into earlier patient recruitment windows and reduced overhead, especially for complex studies requiring specific biomarker and therapeutic expertise.