Manifold is an enterprise AI agent platform that securely connects clinical, genomic, and real‑world data within a private‑cloud, governed environment. Its agents automatically ingest, catalog, and prepare multimodal datasets, then enable natural‑language cohort building, biomarker discovery, and bioinformatics analyses such as biostatistics and survival modeling, all while keeping data on‑premise and auditable.
Funding
$15M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OFounders
Product
Problem
Life sciences organizations struggle with fragmented, multimodal clinical and genomic datasets that require extensive cleaning, integration, and governance before they can be analyzed. This fragmentation leads to long negotiation cycles, weeks‑long query turnaround times, and high operational overhead for both internal teams and external partners.
Solution
Manifold provides an enterprise AI agent platform that connects clinical, genomic, and real‑world data within a governed environment hosted in the organization’s private cloud. The platform’s agents automatically ingest, catalog, and prepare datasets, interpret natural‑language scientific intent, and configure and execute bioinformatics pipelines, statistical analyses, and survival models. By keeping data on‑premise and applying fine‑grained access controls, the solution ensures compliance with HIPAA, SOC 2, and other regulatory frameworks while maintaining auditability. Teams can collaborate across institutional boundaries through a unified interface, enabling self‑service cohort building, biomarker discovery, and real‑world evidence generation in minutes instead of months. The integrated infrastructure scales compute elastically, eliminating the need for separate toolchains and reducing engineering overhead.
Target Audience
Primary customers are pharmaceutical R&D groups, biotech companies, CROs, and academic research institutions that need secure, self‑service access to large clinical and genomic datasets for drug discovery, biomarker identification, and real‑world evidence studies.
Features
- AI‑driven data ingestion and context‑engineering that prepares multimodal datasets without manual restructuring
- Natural‑language cohort and query agents that slice billions of records on demand
- Built‑in analysis agents for biostatistics, survival analysis, and customizable bioinformatics pipelines (e.g., nf‑core, Jupyter, RStudio)
- Governed environment with fine‑grained permissions, encryption, and compliance certifications (HIPAA, SOC 2)
- Private‑cloud deployment keeps all data within the organization’s control while providing elastic compute resources
- Collaboration layer that enables secure data sharing and workflow sharing with internal teams and external partners
- Role‑based specialist agents configurable to match specific organizational workflows and roles