Ryght AI is bringing its AI-powered clinical research platform to Microsoft Azure Marketplace, enabling healthcare organizations to streamline clinical trial operations while leveraging existing Azure cloud infrastructure.
The integration allows sponsors, CROs, and research sites to deploy Ryght’s platform quickly, simplify procurement, and consolidate billing under their existing Azure accounts—removing traditional barriers to adopting advanced clinical trial technology.
AI-Powered Clinical Trials
At the heart of Ryght’s platform is its AI Site Twin network, which creates dynamic digital models of clinical research sites worldwide. Each Site Twin captures operational characteristics, study history, personnel capabilities, and enrollment potential for specific trial types. These models feed Ryght’s suite of intelligent solutions, automating site selection, feasibility studies, and trial optimization workflows.
Simon Arkell, CEO and Co-Founder of Ryght, explained, “By leveraging Azure’s robust cloud infrastructure and marketplace ecosystem, we’re removing barriers that have traditionally slowed the adoption of innovative clinical trial technologies.”
Azure Marketplace Integration: Efficiency Meets Compliance
Ryght’s availability on Azure Marketplace offers several key advantages:
- Simplified procurement and billing through existing Azure accounts
- Seamless deployment in organizations’ current Azure environments
- Cost optimization by reducing vendor onboarding and contract management overhead
- SOC Type 2-compliant architecture, supporting real-time collaboration between sponsors, CROs, and research sites
Jake Zborowski, General Manager of Microsoft Azure Platform, noted, “Thanks to Azure Marketplace and partners like Ryght, customers can do more with less by increasing efficiency, buying confidently, and spending smarter.”
Implications for Healthcare and Clinical Research
Healthcare organizations now have a more accessible path to AI-driven trial optimization. By combining Ryght’s AI insights with Azure’s cloud scale, sponsors and CROs can speed up site identification, improve patient enrollment, and enhance study execution efficiency.
For enterprises, this is a significant step in integrating AI into the clinical research workflow without overhauling existing cloud setups, allowing teams to focus on trial innovation rather than infrastructure management.
With Ryght AI now discoverable and deployable directly from Azure Marketplace, the company is positioning itself at the forefront of next-generation, AI-enabled clinical research solutions.
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