Manifold AI is an AI-powered research infrastructure platform designed to accelerate scientific discovery by integrating data collection, analysis, and collaboration tools. It enables research organizations to unify disparate clinical and multi-omic data sources into a single repository, enhancing discoverability and usability. By automating data harmonization through AI-driven transformations, Manifold AI significantly reduces the time spent on manual data wrangling, allowing researchers to focus more on scientific exploration. Key Features and Functionality: - Integrated Research Platform: Combines data collection, analysis, and collaboration tools into a cohesive system. - Data Management: Connects siloed clinical and multi-omic data, automating their transformation into analysis-ready formats. - Data Analysis: Supports various analysis methods, from no-code options to scalable compute environments, reducing setup time. - AI-Powered Cohort Building: Enables natural language cohort creation without the need for coding. - Secure Collaboration: Facilitates secure data sharing and analysis among colleagues, institutions, and industry partners. - Study Management: Provides an end-to-end platform for managing cohort studies and patient registries with an engaging user experience. Primary Value and User Solutions: Manifold AI addresses the challenges of managing large-scale, complex research data by providing a unified platform that streamlines data operations and analysis. It empowers researchers to efficiently explore and interpret multimodal data, build cohorts, and assess hypotheses using intuitive AI-powered interfaces. By automating data harmonization and offering scalable analysis environments, Manifold AI enhances research efficiency, fosters seamless collaboration, and accelerates the pace of scientific discoveries.