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Manifold + AWS: Accelerating Life Sciences in the AI Era
Transforming How Science Happens
Explore Manifold's core solutions
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A Strategic Collaboration to Accelerate Discovery
Manifold and AWS share a mission: to help researchers and data teams unlock the full potential of biomedical data.
By combining AWS’s secure, compliant cloud infrastructure with Manifold’s domain-specific AI capabilities, we enable organizations to unify their scientific data, simplify collaboration, and deploy advanced analytics — all within their own AWS environment.
Built on AWS. Trusted by leading institutions across genomics, oncology, and population health.
Why Leading Life Sciences Teams Choose Manifold + AWS
1. Secure and Compliant by Design
Single-tenant deployments within each customer’s AWS account ensure that sensitive data never leaves their control.
Manifold meets or exceeds SOC 2 Type II, HIPAA, GDPR, 21 CFR Part 11, and NIST 800-171 requirements.
2. AI-Native Data Platform
Manifold harmonizes multimodal data into AI-ready structures and provides intelligent agents for discovery, cohort building, and hypothesis testing.
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3. Aligned with Enterprise Cloud Strategy
With Bring Your Own Cloud (BYOC) deployment, customers leverage existing AWS investments, enterprise security policies, and pricing benefits — ensuring alignment between scientific innovation and IT governance.
Built for Every Stakeholder
For Executives and Data Leaders
- 99% faster time-to-insight, no additional FTEs
- 2× research capacity with existing resources
- Transparent cost governance dashboards
For Scientists and Researchers
- Unified multimodal data access
- AI-assisted cohort and feasibility analysis
- Reproducible R/Python/SAS workbenches
For IT and Compliance Leaders
- Attribute-based access control and SSO integration
- Immutable audit trails and lineage tracking
- Single-tenant, BYOC architecture
Inside the Architecture
A secure Manifold control plane operates inside each customer’s AWS account, integrating seamlessly with services like Amazon S3, HealthOmics, Lake Formation, EC2, and SageMaker.
Data from EMR, LIMS, genomics, imaging, and registry systems is harmonized through AI-assisted pipelines and made accessible through intuitive dashboards, cohort explorers, and high-code workbenches.
This architecture delivers AI-ready data, complete transparency, and full compliance — all within the customer’s own cloud boundary.
Purpose-Built for the Scale and Speed of Modern Research
AWS Capability
Amazon S3 & AWS HealthOmics
Amazon EC2 & AWS Batch
AWS IAM & Lake Formation
AWS Glue & Data Catalog
Amazon SageMaker
Better Together: Broad Institute, AWS, and Manifold
Powering the Next Era of Data-Driven Discovery
The Broad Institute of MIT and Harvard, a world leader in genomics, partnered with AWS and Manifold AI to modernize its data platform and extend the capabilities of its Terra environment. The collaboration was announced live at the AWS Health & Life Sciences Symposium (May 2025), highlighting how cloud and AI are reshaping global biomedical research.
“To meet growing demand driven by the molecularization of medicine and changing customer expectations around cloud and AI, we’ve partnered with AWS and Manifold AI to take this to the next level. Manifold modernizes Broad’s data platform and data science environment by leveraging the latest AWS services to enable scalable, AI-driven research.”
Benjamin Neale
Core Institute Member, Broad Institute of MIT and Harvard
Solutions
Fit-for-purpose solutions for clinical research leaders in cancer and rare disease.
Cancer Observational Study
Streamline legacy systems and manual processes with a single study and data management platform.
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Cancer Center Biobank
Reduce and turnaround time and increase productivity by connecting biospecimen data and clinical data in a single data management platform.
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Cancer Center Registry
Unify clinical and multimodal data on a modern platform to enable automated data preparation into a research-ready patient model.
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Rare Disease Registry
Answer research questions about diagnoses, treatments, and outcomes quickly and easily.
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Real-World Impact
Broad Clinical Labs generates 30+ petabytes of data annually, will be securely accessible within AWS.
The Manifold platform streamlines genomic data analysis for the Stanley Center, eliminating days of manual transfer and preparation.
Controlled-access datasets hosted by Broad on behalf of the NIH and other collaborators are being made available to a broader scientific community — accelerating global discovery.
