AI-Powered Clinical Research Platform
A platform designed to streamline the manual workflows of modern study and data management.
Study Operations
Manage cohort studies and patient registries in a single end-to-end platform with a delightful user experience.
Provide a seamless experience for study participants to complete activities for a study including consent, surveys, cancer reporting, and biospecimen collection.
Administer observational study workflows including participant management, survey authoring, consent tracking, and digital outreach.
Data Operations
Connect siloes of clinical and multi-omic data and automate its transformation into analysis-ready form.
Harmonize multi-modal biomedical data into a patient-centric, analysis-ready model in a high-performance data store.
Aggregate and curate data using AI-powered pipelines from multiple sources including EHR, REDCap, surveys, LIMS, variant calls, short-read sequencing, whole slide histology images, and more.
Retrieve medical records for a patient from multiple providers, and use AI-assisted tooling to abstract structured data elements.
Data Analysis
Answer questions quickly about diagnoses, mutations, treatments, and outcomes.
Describe your complex cohort in English and let our AI get you most of the way. Finish up in our intuitive graphical interface.
Explore clinical information using patient-centric terms or data-centric terms easily using our ontology-driven semantic catalog. Chat with your data and visualize it using AI-powered interfaces.
Launch scalable compute environments with a single-click. Choose from research-configured environments in R, SAS, Nextflow, Python or bring your own.
Data Sharing
Collaborate securely with colleagues, institutions, and industry in a trusted research environment with advanced analysis tools.
Manage granular, role-based access to projects and data with advanced administration capabilities. Control access per user, per workbench, per file, per table.
Collaborate with other researchers in a workbench that holds the context of the project including code, data, notes, and comments.