
Ryght AI
The Real-Time Research Site Network

Description
Ryght AI offers a secure, AI-powered platform designed to revolutionize clinical trials by streamlining operations and significantly reducing traditional timelines. It features the Ryght Research Network, a global ecosystem connecting thousands of trial sites across numerous countries with leading sponsors, Contract Research Organizations (CROs), and technology partners. The platform leverages generative AI to address key bottlenecks in clinical trials, focusing on matching the right studies with the right sites at the optimal time.
The system provides distinct advantages for various stakeholders. Sponsors can utilize the platform to identify, select, and activate the most suitable research sites with minimal competition, accelerating the path to enrollment. CROs can differentiate their services by using AI for superior site selection and patient projections, leading to faster activation, earlier enrollment, and improved compliance for their clients' protocols. Research sites benefit by easily finding trials that match their capabilities and simplifying patient matching without needing complex EMR integrations or sharing Protected Health Information (PHI), receiving the technology for free and gaining access to sponsored trials.
Key Features
- AI-Powered Platform: Utilizes generative AI to streamline clinical trial operations.
- Global Research Site Network: Connects sponsors, CROs, and tech companies with thousands of trial sites worldwide.
- Optimized Site Selection: Identifies the best sites with the least competition for specific studies.
- Faster Site Activation: Accelerates the process of getting research sites ready for trials.
- Efficient Patient Enrollment Support: Facilitates matching patients to trials without requiring EMR integrations or PHI.
- CRO Service Differentiation: Enables CROs to leverage AI for enhanced client services and site/patient projections.
Use Cases
- Accelerating study startup for Sponsors by identifying and activating optimal research sites.
- Enhancing CRO service offerings with AI-driven site selection and patient projection.
- Connecting Research Sites with suitable sponsored trials and simplifying patient matching.
- Streamlining overall clinical trial timelines from site selection through enrollment.
- Reducing administrative burden for research sites during trial feasibility and selection.
- Improving the efficiency of finding and securing funding for clinical studies.
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