AI Data Platform for Life Sciences

$300B spent annually on R&D. Stagnating productivity.
It’s time we do something about that.

Trusted by Leading Organizations

Transform Life Sciences with AI

Ship Science 100x Faster

Science moves too slowly because data does.

Manifold automates the 80% of analysis work that clogs R&D—cleaning data, debugging pipelines, harmonizing formats, and building cohorts—so scientists can focus on science.

What once took months now takes minutes. Accelerate time to insight 100x.

Make Data Work for R&D

Your R&D data shouldn’t just sit in silos — it should generate returns.

Manifold transforms your data into a findable, shareable, AI-ready foundation for internal insight and external collaboration.

Share selectively, partner confidently, and turn years of research into a competitive asset.

Power Without Surrender

Innovation shouldn’t come at the cost of sovereignty.

Manifold allows you to use your own cloud, with no vendor lock-in, no data sharing requirements.

Leading organizations trust Manifold because it empowers them to move faster without giving up their data, their ownership, or their mission.

Chosen by R&D Leaders

Broad Clinical Labs needed to deliver BGE and WGS sequencing data to customers on AWS, moving beyond simple file delivery. By partnering with Manifold, they now deliver data directly to AWS where customers browse QC data, variants, and files using AI. In addition, their customers can upload phenotypic data that automatically joins with genotype data—delivering far more value than traditional file delivery.

Foundation Medicine needed to accelerate drug development for biopharma partners using their comprehensive 800,000+ patient genomic dataset. FoundationInsights® 2.0, powered by Manifold, enabled this with natural language search and advanced analytics, giving partners a one-stop shop to rapidly identify patient cohorts, explore genomic alterations, and extract insights faster than ever before.

Indiana University SCCC needed to accelerate complex cohort queries across 28,000+ patient records and 81,000+ biospecimens that were taking weeks to complete. Manifold enabled them to cut query turnaround times from weeks to minutes, empowering researchers to independently generate feasibility assessments and complete multi-dimensional genomic queries while the BC^2 team handles increased request volume without adding headcount.

Champions Oncology needed a platform that could serve both their internal R&D teams and enable commercialization of their multi-omics dataset which includes PDX models with proteomics, WES, and RNA-seq data. They found a solution with Manifold that addresses both needs: a secure platform that scales from internal collaboration to external partner access, with Manifold's AI agents accelerating data evaluation and analysis across the board.

Indiana University SCCC needed to break down data silos across IUH, Regenstrief, and IU SCCC to integrate their EHR and other modalities into a unified research data commons. Manifold enabled the first-ever cross-institution collaboration through weekly EHR syncs, creating a place where researchers—even those with low technical expertise—can now ask natural language questions of over 3 million diagnoses, cut cohorts, and perform complex analyses that previously required weeks of manual data coordination.

University of Virginia Cancer Center needed to integrate their cancer registry data—including genomics, biospecimen, and clinical data—into a unified data commons, but data requests that used to take weeks or months were bottlenecking research. Manifold's AI-powered platform cut request turnaround times from months to minutes, enabling researchers to self-serve access to 60K+ patients and 10K+ biospecimens using natural language queries—unlocking far more research capacity.

The Foundation for Faster, Leaner Life Sciences

Collaboration Layer
Agents Layer
Tool Layer
Data Layer
Governance Layer
Infrastructure Layer

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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