Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Manifold is an AI-native data platform built for life sciences-enabling data, science, and security to work together in a self-service model built for the scale and speed of your AI strategy. Manifold brings together in one system the power of a modern data and AI stack with the specialized data workflows of life sciences.<br><br>Leading R&D teams, including those at the Broad Institute and biotech companies focused on oncology diagnostics and rare diseases, rely on the Manifold platform to unlock the full potential of their high-value data assets. As the leading AI-native data platform for life sciences, the Manifold platform accelerates scientific discovery by simplifying data management, analysis, and secure teamwork-without building custom infrastructure.<br><br>Key Capabilities<br> Simplified, Scalable Data Management-Manifold enables organizations to utilize their own structured data models or automate transformation and ingestion using AI-powered pipelines. Analysis ready data is stored in Manifold's high-performance data lake, unlocking efficient use of the data in downstream applications.<br> Scalable Analysis Workbenches-Build cohorts, answer questions, and create visualizations with AI agents. For advanced analysis, launch elastic R, Python, SAS, Nextflow or Jupyter environments with a single click.<br> Collaboration & Sharing-Share code and data with internal and external research teams in a single governed workspace, backed by audit logs and granular role-and row-level permissions.<br> Study Management-Manage studies efficiently with a mobile-friendly participant portal that supports consent, surveys, biospecimen tracking, and medical-record retrieval-plus live dashboards to monitor recruitment and engagement.<br> Security & Compliance-SOC 2 Type II certified with encryption in transit/at rest, MFA, e-consent, HIPAA, 21 CFR Part 11 and GDPR controls delivered through privacy-by-design architecture.<br><br>Why Manifold on AWS<br>Manifold is delivered as a fully managed service running natively on AWS. The platform leverages Amazon S3, AWS Batch, IAM and other managed services to provide petabyte-scale storage, burstable compute and enterprise-grade security-without requiring customers to operate any infrastructure. All data processing, storage and analytics occur inside Manifold's hardened AWS environment, ensuring performance and compliance while letting your team focus on science instead of cloud ops.<br><br>Proven at Scale<br> 3,000+ automated ingestions executed<br> 50K+ registered users across academia and biopharma<br> 1.5M+ unique study participants represented<br><br>Typical Use Cases<br> Build a governed life-science data lake that harmonizes multi-omic and clinical datasets in days, not months.<br> Spin up ad-hoc bioinformatics pipelines to explore variant associations at cohort or population scale.<br> Manage multi-site observational studies with automated consent capture and participant engagement.<br> Enable data scientists and clinicians to ask AI-powered questions and publish reproducible results.<br><br>Benefits<br> Accelerate discovery by eliminating manual data wrangling and infrastructure setup.<br> Reduce risk with out-of-the-box compliance and fine-grained access controls.<br> Foster collaboration across institutions while keeping data secure on AWS.<br><br>For specialized configurations and pricing or a private offer, please contact us at aws-marketplace@manifold.ai.
Highlights
Highlighted by the publisher on AWS Marketplace.
Unified multimodal data hub-Seamlessly ingest genomics, clinical, and imaging data, auto-harmonize them into an analysis-ready lake, and eliminate months of custom ETL so scientists focus on discovery-not data plumbing.
Empower end user self service-Easily build, visualize, and explore cohorts in the intuitive AI-powered platform. Make curated libraries of datasets easily findable for your organization or collaborators. Empower research teams across all organizational roles to complete complex analysis in either high-code or low-code environments.
One-click AI analytics-Spin up R, Python, SAS or Jupyter workbenches with elastic AWS compute. Natural-language AI agents build cohorts, answer questions and visualize results without code, accelerating insights across teams.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Plans and pricing as listed
2 listed- Units
- Units
Refund terms
As stated by the publisher on AWS Marketplace.
All fees are non-refundable and non-cancellable except as required by law.
Sources
Publisher resources
2 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.