Verily Workbench Now Available on AWS to Accelerate Biomedical Research

Verily Workbench is designed to support biomedical data analysis and artificial intelligence and machine learning development within a governed and secure environment.

Verily Health has launched its Workbench platform on Amazon Web Services (AWS), making its trusted research environment (TRE) generally available for organizations operating on the cloud infrastructure. The integration was announced at the 2026 AWS Life Sciences Symposium.

Verily Workbench is designed to support biomedical data analysis and artificial intelligence and machine learning development within a governed and secure environment. The platform enables researchers to co-analyze data where it is stored, reducing data movement and improving workflow efficiency.

According to AWS, the integration allows research organizations to access scalable computing infrastructure while maintaining compliance standards and cost efficiency through existing AWS enterprise agreements. The platform also provides access to integrated AI tools and biomedical workflows powered by AWS HealthOmics.

Key features of Verily Workbench on AWS include a secure and compliant trusted research environment built for biomedical datasets, validated through SOC 2 Type 2 and ISO/IEC 27001 certifications. The system maintains strict data isolation and governance controls while supporting enterprise-grade security requirements.

The platform also supports scalable analysis with enterprise integration, allowing researchers to use flexible tools and access proprietary datasets securely. It further enables multi-stage biomedical data processing across different data types.

Verily said the system offers a zero cloud cost markup model by allowing organizations to operate through their existing AWS accounts, ensuring that standard AWS pricing agreements apply to storage and compute usage.

The platform integrates NVIDIA’s AI stack, including NVIDIA NeMo, Parabricks, and CUDA-X Data Science tools, along with access to GPUs such as NVIDIA Blackwell and Hopper to accelerate large-scale model training and genomic analysis.

Workbench also supports multicloud interoperability with compatibility across AWS and Google Cloud Platform, enabling cross-platform research collaboration. Researchers can access a free standard-tier account along with Verily’s data exchange ecosystem for health datasets.

Verily Workbench is currently used across life sciences, healthcare systems, payers, and government research programs, including the NIH’s All of Us Research Program, which supports over 20,000 researchers globally.

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