An all-encompassing data repository powered by human and artificial intelligence that delivers value-added insights crucial for study success
An all-encompassing data repository powered by human and artificial intelligence that delivers value-added insights crucial for study success
Combine real world data with trial data and recruit subjects with characteristics that best support the clinical endpoints
From study feasibility to quality data submission, leverage decision support, predictive and anomaly detection capabilities to run trial efficiently
Detect changes in patient behavior and regimen adherence and plan better course of action using smart notifications and recommendations
Define automated routines to detect delays, deviations and errors across sites and generate fit-for-purpose KRIs for early identification and risk mitigation
Receive real time updates, detect changes, plan actions and stay on track with centralized access to subject data, processes and stakeholder communications
Bring data from any or all sources including EDC, CTM, mHealth, eCOA, Labs, Safety, Regulatory, EHR and Claims for an All-in-One data repository. Pre-packaged sources include Trial registries, Diseases, Genes, Biomarkers, Publications, Claims, Labeling, Controlled vocabularies and many others.
Self-service data visualization, reports and analytics for in-depth view of generated insights within and across sources. This allows you to quickly drill down to the source of truth within study, country, site or subject level records.
Combine, refine and arm data with intelligence using simplified set of metadata driven inbuilt tools offering unparalleled data curation, engineering, pipeline and feature generation capabilities.
Define, orchestrate and even automate decision making using the inbuilt workflow tool to manage study, country and site level notifications, enabling faster collaboration and issue resolution with complete traceability.
Use out of the box models or build your own routines with integrated AI tools, allowing you to code, test and deploy AI, NLP and Machine learning models in real time for forecasting, prediction, recommendation and early warnings.
Out of the box tools supporting both API and industry standards-based integration with any third party operational systems including but not limited to EDC, CTM, eTMF, eCOA, mHealth, Safety, Regulatory and others.