AI Platform for Life Sciences.

Enabling faster, leaner life sciences.

Life sciences teams face a widening gap between the questions they want to ask and the systems required to answer them. Manifold’s AI platform closes that gap by automating data preparation, tool setup, and analysis—while enabling seamless collaboration across teams and institutions.

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Agent OS

Life sciences teams lose time because answering even basic questions requires stitching together scattered data, configuring complex tools, and navigating institutional knowledge spread across systems. This fragmentation keeps experts waiting instead of discovering.

Agent OS closes this gap by automating the 80% of work that clogs R&D. It interprets scientific intent, prepares the right datasets, configures and runs the appropriate tools, and applies organizational context—all so teams can move from question to insight in minutes instead of months.

Explore cohorts instantly

Generate ready-to-use analyses in natural language

Collaboration

Life sciences research depends on seamless collaboration. But today’s data silos and fragmented permissions make cross-group work needlessly difficult. Sharing datasets, reproducing analyses, or coordinating studies across institutions often requires manual workarounds that delay progress.

Manifold removes these barriers by providing a unified, governed environment where internal teams and external partners work together with shared context and secure access. Whether collaborating within a small team or across a global consortium, the platform enables fast, safe scientific exchange.

Work together in real time

Share data safely and confidently

Tools

R&D workflows rely on a mix of general-purpose tools like Python and R alongside highly specialized pipelines such as nf-core. But configuring these environments and switching between platforms slows analysis and fragments workflows.

Manifold brings all of these capabilities into one place. The platform automatically configures the tools your teams depend on (from Jupyter and RStudio to complex bioinformatics pipelines) so researchers can run end-to-end analyses without leaving Manifold or maintaining separate systems.

Analyze with pre-configured environments

Run advanced pipelines without leaving Manifold

Streamline and oversee observational research

Data

Life sciences teams work with some of the most complex, multimodal datasets in the world. Yet understanding, and analyzing this data often requires specialized skills and weeks of back-and-forth across teams. These friction points make it difficult to trust or reuse critical datasets.

Manifold streamlines the data journey. AI-powered data engineering, cataloging, and dashboards automatically find, prepare, and organize biomedical data so researchers can explore and analyze it confidently.

Transform and prepare data with AI

Find, understand, and trust your biomedical data

Explore multimodal datasets instantly

Governance

Working with sensitive biomedical and clinical data demands rigorous privacy, security, and compliance. But managing governance across multiple tools, clouds, and collaborators creates operational risk and slows teams down, especially when every study requires precise control over access and auditability.

Manifold provides a unified governance layer designed specifically for scientific work. From fine-grained access controls to encryption, and compliance with frameworks like HIPAA and SOC 2, the platform ensures that data and workflows are protected. This gives teams the confidence to collaborate, scale, and innovate without compromising trust or compliance.

Explore Manifold's Security & Compliance capabilities

Infrastructure

Life sciences teams need scalable compute and reliable performance. But managing separate cloud setups, provisioning resources, and moving sensitive data between systems creates operational overhead. Traditional platforms often force teams to choose between flexibility, compliance, and ease of use.

Manifold removes these tradeoffs with an infrastructure model designed for scientific scale and enterprise requirements. The platform runs securely in your cloud, keeps data exactly where it is, and provides the elastic compute needed for multimodal analytics and complex pipelines.

Learn how Manifold fits into your cloud environment