Manifold, Inc.

Manifold is the AI platform for life sciences, purpose-built to help research and development teams bring life-changing medicines to patients faster. By combining governed AI workflows with deep domain grounding, Manifold enables scientists, data teams, and clinical researchers to generate insight and take action on any data, in any tool, at any time. The platform is trusted by global pharmaceutical companies, biotech organizations, cancer centers, and academic research institutions.

Following its Series B funding, Manifold continues to expand its mission of accelerating medicines from discovery to market. The platform addresses the core bottlenecks that slow life sciences progress — fragmented data, complex analytical pipelines, and the constant back-and-forth between scientists and data engineering teams — replacing them with AI-powered, self-service workflows grounded in each organization's own datasets and tools.

Core Platform Capabilities

• Natural Language Data Access: Scientists ask questions in natural language and receive precise, biologically grounded answers directly from their data, eliminating the need to submit requests to data teams for routine analyses.
• AI Agents Coached on Your Data: Manifold's agents are tailored to each organization's specific datasets, tools, and domain knowledge, ensuring accurate and standards-aligned results grounded in institutional context.
• Automated Data Preparation: Agents interpret natural language questions, prepare the appropriate datasets, and run the right analyses — handling tasks like data cleaning, pipeline debugging, and cohort building automatically.
• Context Engineering: Agents translate natural language instructions into accurate analytical workflows, ensuring every answer can be trusted and traced back to the underlying data and logic.
• Multi-Modal Data Integration: Agents turn fragmented, multi-modal data into an analysis-ready foundation, bridging scientific questions with the data, tools, and knowledge required to answer them.
• Tool Interoperability: Agents configure and run a wide range of analytical tools, from Python and R to specialized life sciences pipelines, eliminating tool complexity for end users.

Key Solutions

• Cancer Observational Study: A fit-for-purpose solution that streamlines legacy systems and manual processes into a single study and data management platform for clinical research leaders in cancer and rare disease.
• Cancer Center Biobank: Reduces turnaround time and increases productivity by connecting biospecimen data and clinical data within a unified data management platform.
• Collaborative Data Sharing: Transforms institutional data into a shareable, AI-ready foundation that supports both internal insight generation and secure external partner collaboration.

Security, Compliance, and Privacy

• Enterprise-Grade Security: Manifold provides fine-grained access controls and end-to-end encryption across the platform.
• Regulatory Compliance: The platform aligns with industry and regulatory standards including NIST 800-171, TX-RAMP, and SOC 2 Type II.
• Privacy Standards: Built-in HIPAA and GDPR compliance ensures data handling meets the world's most rigorous privacy requirements.

Notable Customer Deployments

• Broad Clinical Labs partnered with Manifold to deliver BGE and WGS sequencing data directly to customers on AWS, enabling AI-powered browsing of QC data, variants, and files, as well as automatic joining of uploaded phenotypic data with genotype data.
• Foundation Medicine leveraged Manifold to power FoundationInsights® 2.0, enabling biopharma partners to perform natural language search and advanced analytics across an 800,000+ patient genomic dataset to rapidly identify cohorts and extract insights.
• Indiana University Simon Comprehensive Cancer Center (SCCC) used Manifold to cut complex cohort query turnaround times from weeks to minutes across 28,000+ patient records and 81,000+ biospecimens, empowering researchers to independently generate feasibility assessments without adding headcount.
• Indiana University SCCC also deployed Manifold to break down data silos across IUH, Regenstrief, and IU SCCC, creating the first-ever cross-institution collaboration with weekly EHR syncs and a unified research data commons covering over 3 million diagnoses.
• Champions Oncology adopted Manifold to serve both internal R&D teams and commercialize their multi-omics dataset — including PDX models with proteomics, WES, and RNA-seq data — through a secure platform that scales from internal collaboration to external partner access.
• University of Virginia Cancer Center integrated cancer registry data including genomics, biospecimen, and clinical records into a unified data commons, cutting data request turnaround times from months to minutes and enabling self-serve access to 60,000+ patients and 10,000+ biospecimens via natural language queries.

Manifold is purpose-built for life sciences organizations that need to move faster without sacrificing rigor — empowering scientists to self-serve insights while freeing data teams to focus on high-impact engineering and modeling work.