Multimodal Dashboards
Use multimodal dashboards to explore, filter, and securely share complex data across research teams.
Quickly generate insights, manage cohorts, and control data access with interactive, AI-assisted dashboards designed for collaborative, cross-functional research.
Visualize and communicate complex data across diverse researcher communities.
Create interactive, AI-assisted dashboards for your researchers’ descriptive and exploratory analysis. Designed to accommodate diverse data modalities and user needs, the interface enables structured data presentation without requiring programming expertise.
- Data preview dashboards: Generate graphical summaries of datasets to facilitate researchers’ initial exploration and variable assessment.
- Interactive filtering and export: Apply configured filters and export resulting queries for use in downstream workflows or documentation.
- Application-flexible reports: Develop dashboards for a range of use cases, including dataset overviews, geographic and demographic distributions, or disease-specific drilldowns.
- Custom branding options: Configure branding for internal presentations or external communications, ensuring alignment with institutional or collaborative requirements.
This dashboarding framework supports reproducible reporting across research domains and facilitates communication among investigators, sponsors, and regulatory bodies.
Configure, annotate, and control cohort exploration with integrated AI assistance. Enable cohort-level filters while leveraging AI to accelerate dataset documentation.
- AI-assisted documentation: Automatically generate descriptions of tables and variables during data ingestion, enhancing interpretability for downstream users.
- Controlled filter configuration: Define specific filterable variables for the Cohort Explorer, supporting targeted analyses and reproducible export logic.
These features help ensure that cohort definitions are not only clear and consistent, but also easily navigable by researchers and actionable by honest brokers.
Act on researcher data requests within a secured environment with controlled mechanisms for data sharing.
- Honest Broker: Create policies to provision access to specific datasets, tables, columns, or even individual data points.
- Cross-functional collaboration: Share datasets and analyses across departments or disciplines while preserving access boundaries and data integrity.
- Controlled asset exchange: Collaborate on data and algorithms across portfolio companies and assets within a secured environment.
- External sharing with safeguards: Enable collaboration with external partners while retaining administrative control over what is shared, viewed, or modified.
These provisioning tools support collaborative research at scale, while maintaining institutional control within a secured environment.
