Precision site selection with AI digital twins
With Ryght, site selection is smarter, faster, and more precise. Our AI-powered platform cuts through complexity so you can move your study forward with confidence.
Accelerate timelines
Find the right sites faster
Ditch the weeks, even months, spent on manual site selection processes. Ryght instantly analyzes vast data sets to pinpoint the best-fit sites for your protocol, drastically shortening the site identification and qualification phases.
Get to Market Sooner
By eliminating inefficiencies in site selection, our platform shortens clinical trial timelines to maximize patent life for sponsors, translating saved time into millions of dollars in extended market exclusivity and faster patient access to critical treatments
Predict Enrollment Velocity
The biggest bottleneck in trial timelines is often patient enrollment. By selecting sites with a high predicted enrollment rate and a deep, accessible patient pool, you dramatically compress your recruitment period, accelerating the entire clinical development lifecycle.
How it works
Upload your protocol
Drag and drop, or select a previously uploaded document.
In just a few seconds, Network Navigator will completely dissect and analyze the protocol.


Review recommended sites
You'll be instantly provided a list of sites that are best-possible fit for your protocol, automatically filtered by the phase, therapeutic area, indication and more.
Sites are listed by a customizable intelligent ranking, based on multiple factors including:
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Therapeutic area and phase experience
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Principal Investigator expertise
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Equipment and facilities
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Patient Population
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Historical performance
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Competing trials
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Regulatory history
Dig deeper into selected sites
Our built-in conversational AI tool empowers you to interact with digital twins of your selected research sites. Uncover roadblocks, model enrollment performance, and proactively foresee potential challenges or advantages.

Streamline feasibility assessment workflows with Feasibility Accelerator
Instantly issue your selected sites a feasibility questionnaire that is already pre-populated, based on the data in their corresponding AI twin.
Reduce costs & optimize resource allocation
Lower Costs for Site Selection
Dramatically reduce costly site selection methods by reducing the costs previously associated with manual data collection, premium data subscriptions and costly consultant fees.
Eliminate Costly Enrollment Delays
Stop wasting valuable resources on sites that won't deliver. By precisely forecasting site workload, staff capacity and potential bottlenecks, you can more accurately budgets for monitoring, site support, and investigational product more efficiently.
Reduce Amendments & Rescues
Proactive identification of feasibility challenges or patient population mismatches means fewer costly protocol amendments and a dramatic reduction in the need for expensive "rescue" efforts to boost lagging enrollment.
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