Trust & Compliance
Cybersecurity, continuous compliance, validation, and GxP regulatory support that protect sensitive data and maintain audit-ready operations.
USDM + AWS
Build a scalable foundation for innovation with AWS.
AWS provides cloud, data, analytics, machine learning, and generative AI services that help life sciences organizations modernize regulated operations. USDM helps regulated companies adopt AWS with a compliance-first mindset so innovation does not come at the expense of quality, data integrity, or control.
AWS
Partnership focusUSDM combines AWS cloud capabilities with life sciences and GxP expertise to support compliant infrastructure modernization, AI-ready data strategies, interoperability, and enterprise transformation across clinical, quality, regulatory, and operational environments.
Partnership capabilities
Where USDM strengthens AWS for regulated operations.
Data Insight & Control
Data governance, privacy, integration, interoperability, GenAI, and machine learning support that turn regulated data into actionable insight.
AWS HealthLake + AI
FHIR-based architecture, analytics, and AI-ready data foundations that support healthcare and life sciences use cases.
Resources
Related AWS resources
Insights, case studies, and technical resources for life sciences organizations working with AWS.
Drive Business Growth and Efficiency with a Strategic Data Roadmap
USDM Designs AWS Data Lake to Standardize GxP Data Management Processes
Unique Architecture Blueprint Supports High Performance Computing
Improved Transparency and Compliance for Clinical Data Lake
What is Compliance as Code?
Talk to a cloud compliance specialist
Build a compliant cloud foundation on AWS.
USDM helps regulated organizations adopt AWS with a compliance-first mindset — so innovation doesn't come at the expense of data integrity, audit readiness, or GxP control.
- Cloud Assurance for GxP workloads on AWS
- AI-ready data strategies and infrastructure
- Cybersecurity and continuous compliance on AWS
- FHIR, HealthLake, and regulated analytics implementation