Verily has launched its Workbench platform on Amazon Web Services (AWS), enabling researchers to securely analyze large scale biomedical data and accelerate AI-driven discoveries in healthcare and life sciences.
Glimpse:
Announced at the 2026 AWS Life Sciences Symposium, Verily Workbench is now available on AWS, offering a scalable and secure Trusted Research Environment (TRE). The platform allows researchers to analyze complex biomedical datasets, build AI/ML models, and collaborate seamlessly using existing AWS infrastructure without additional cloud cost markups.
Verily, a precision health AI company, has expanded access to its Workbench platform by making it available on Amazon Web Services (AWS), marking a significant step in advancing biomedical research through cloud-based infrastructure.
Workbench is designed as an enterprise grade Trusted Research Environment (TRE), enabling researchers to securely analyze sensitive biomedical data while maintaining strict governance and compliance standards. The platform supports co-analysis of data where it resides, reducing the need for data movement and accelerating research workflows.
By integrating with AWS, organizations can leverage scalable cloud computing, existing enterprise agreements, and advanced tools such as AWS HealthOmics to process complex datasets across multiple data types. This allows researchers to conduct large scale genomic and multimodal analyses more efficiently.
A key advantage of the platform is its ability to support AI and machine learning development at scale. With built in access to NVIDIA AI tools and high performance GPUs, researchers can train multimodal foundation models significantly faster and reduce processing times for tasks such as genomic analysis from hours to minutes.
The Workbench platform also emphasizes interoperability, offering consistent features across both AWS and Google Cloud environments. This multicloud capability enables collaboration across institutions while giving organizations flexibility in choosing their preferred infrastructure.
Additionally, Verily provides a transparent cost model by allowing users to operate within their existing AWS accounts, ensuring no additional markup on cloud services. The platform also offers a free standard tier, expanding access for researchers and enabling broader participation in data driven healthcare innovation.
Currently, Workbench supports a wide range of users, including life sciences companies, healthcare systems, payers, and government organizations. It also powers large scale research initiatives such as the NIH’s “All of Us” program, which involves tens of thousands of researchers globally.
This launch reflects a growing trend toward cloud native, AI-enabled research environments that aim to accelerate discovery, improve collaboration, and unlock insights from increasingly complex healthcare datasets.
“Verily Workbench on AWS will empower researchers to accelerate data analytics and AI/ML model development.”
By
HB Team
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