Ryght AI and Biorasi Partner to Transform Clinical Trial Feasibility with AI Digital Twins

18 August 2025 | Monday | News

The collaboration integrates Ryght’s AI-powered site selection platform into Biorasi’s global CRO operations, delivering faster feasibility, accurate recruitment forecasts, and reduced trial delays.

Ryght AI, the clinical trials AI technology company transforming site activation and optimization through AI digital twins of every research site in the world,  announced a strategic partnership with Biorasi, a leading global clinical research organization (CRO) specializing in dermatology, oncology, neurology, and nephrology studies. This collaboration immediately enhances Biorasi's service offering to biotech and biopharma sponsors with Ryght's advanced AI-driven site selection and feasibility platform.

Revolutionizing Feasibility with Dynamic AI Digital Twins of Research Sites

 

The partnership addresses critical industry challenges that cost sponsors millions annually: inaccurate site selection, prolonged feasibility timelines, unpredictable enrollment forecasting and suboptimal site performance. By integrating Ryght AI's platform into Biorasi's operations, sponsors gain access to granular, real-time insights on site performance and recruitment capacity – transforming site selection, feasibility and trial performance from guesswork into data-driven decision making.

"Traditional feasibility models can be limited by static, self-reported data," said Chris O'Brien, CEO at Biorasi. "Ryght AI's platform revolutionizes these models. With continuously updated digital twins of clinical sites and AI-powered feasibility automation, Biorasi can now provide sponsors with recruitment forecasts grounded in real-world, site-specific data."

Ryght AI's platform addresses these limitations through:

  • Dynamic AI Digital Twins: Continuously updated profiles of global clinical sites featuring real-time recruitment capacity, historical trial performance, and operational readiness metrics
  • Automated Feasibility Workflows: Pre-populated feasibility questionnaire webforms with validated data compress traditional feasibility timelines from several months to less than 3 weeks
  • Agentic AI Copilots: Rapid protocol parsing and automated generation of feasibility questionnaires, IRB packets, and investigator outreach materials

Measurable Impact for Sponsors

"We're transforming clinical trial feasibility into reliable and vital study data," said Simon Arkell, CEO at Ryght AI. "Biorasi's focus on pragmatic AI solutions makes them a perfect partner for optimizing clinical site selection."

Biorasi's sponsor clients can expect significant improvements in study startup and execution across multiple categories, including:

  • Enhanced Accuracy: More precise enrollment forecasting and budget modeling reduce financial risk
  • Reduced Delays: Faster site startup through intelligent automation and comprehensive site prequalification
  • Cost Optimization: Decreased risk of mid-trial delays and cost overruns through better upfront planning
  • Improved Efficiency: Streamlined site engagement reaching only high-fit, high-capacity research partners

The partnership represents Ryght AI's continued expansion of its AI-powered clinical research platform, which maintains SOC Type 2 compliance while fostering seamless, real-time communication between sponsors, CROs, and research sites.

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