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Explore Manifold's core solutions
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Help researchers find and understand data instantly — without exposing sensitive details. Researchers and collaborators can discover what data exists, run feasibility queries, interact with an AI agent that characterizes cohort data, and understand data lineage without accessing identifiable data. Honest brokers no longer shoulder every exploratory query.
Bring new data into the system quickly, consistently, and with AI-powered enrichment. Data owners and stewards can upload datasets easily. AI agents accelerate documentation, while transformation pipelines provide error-tolerance and alerting — reducing dependency on overstretched IT teams.
Enable research collaboration safely, securely, and on your terms. Invite internal or external partners into governed workbenches that combine the right datasets with the right analytical tools. Collaborators can even run feasibility queries in your environment — without gaining inappropriate access.

Empower researchers to find data without knowing every table or schema. AI agents help form queries, interpret feasibility results, and highlight relevant attributes — reducing dependency on data stewards and honest brokers.

Onboard to unfamiliar datasets in minutes. Our AI agent answers feasibility questions like “Was this measured?” and “Can I study this here?” while running quick exploratory analyses—histograms, simple comparisons, oncoplots —so you get started faster.

Reduce the burden on IT and data owners. Upload new datasets, apply transformations, and run quality checks through intuitive, self-service tools. AI-assisted documentation makes research-ready data appear faster than ever.

Bring people, data, and tools together in one secure workspace. Researchers, internal teams, and external collaborators can analyze shared data using preconfigured tools — without ever downloading raw data.

See how data was created, transformed, and used — at every step. Research Commons automatically captures lineage, transformations, and usage, allowing teams to trust their results and reproduce them easily.

Protect sensitive data while enabling productive research. Granular permissions, audit trails, differential access paths, and export controls ensure data use aligns with IRB, regulatory, and institutional requirements.
Fit-for-purpose solutions for clinical research leaders in cancer and rare disease.
Streamline legacy systems and manual processes with a single study and data management platform.
Reduce and turnaround time and increase productivity by connecting biospecimen data and clinical data in a single data management platform.
Unify clinical and multimodal data on a modern platform to enable automated data preparation into a research-ready patient model.
Answer research questions about diagnoses, treatments, and outcomes quickly and easily.