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Cohort analysis. Data science. Multimodal dashboards. Bioinformatics. Data engineering. Consent and data collection. Governance. Do it all in one AI-native data platform purpose-built for life sciences.
Fully integrated suite of data collection, analysis, and collaboration tools purpose-built to accelerate scientific research
Collaborate, analyze, and discover—together, in one unified research platform.
Instant, scalable data science environments—no infrastructure setup required.
Build research ready cohorts in minutes, not months.
Run secure, scalable bioinformatics workflows with full traceability.
Your AI-powered gateway to research-ready biomedical data.
Create secure, no-code dashboards to explore and share research data in real time.
AI-powered tools for data ingestion, transformation, and metadata management.
Secure, compliant governance for trusted research collaboration.
Streamline participant-centered research with integrated consent and data tools.
Explore Manifold's core solutions
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.
Most platforms weren’t built for bioinformatics. Manifold supports unified data, reusable pipelines, and built-in governance—so scientific teams can work faster, collaborate securely, and trust their infrastructure.
Most platforms weren’t built for bioinformatics. Manifold supports unified data, reusable pipelines, and built-in governance—so scientific teams can work faster, collaborate securely, and trust their infrastructure.
Combining high-volume, diverse data from multiple sources may unlock previously unattainable insights. The challenge is to ensure that the job of harmonizing and accessing these datasets — and enabling reproducibility — is not a barrier to discovery.
Combining high-volume, diverse data from multiple sources may unlock previously unattainable insights. The challenge is to ensure that the job of harmonizing and accessing these datasets — and enabling reproducibility — is not a barrier to discovery.
Manifold, a leading AI-native Trusted Research Environment (TRE) for modern scientific collaboration, today welcomes a group of influential industry veterans to help shape the future of data and AI in life sciences R&D —both as commercial leaders to drive our growth and as visionary customers to inform our platform innovation.
Manifold, a leading AI-native Trusted Research Environment (TRE) for modern scientific collaboration, today welcomes a group of influential industry veterans to help shape the future of data and AI in life sciences R&D —both as commercial leaders to drive our growth and as visionary customers to inform our platform innovation.