Seamless integration of structured and unstructured data across R&D, clinical, manufacturing, and commercial systems
Automated lineage tracking, audit trails, and stewardship workflows to ensure compliance and trust
Role-based data views for scientists, medical affairs, sales, and compliance — no more email requests or Excel exports
Drag-and-drop visualizations, cohort exploration, and dashboarding for non-technical users
Algorithms trained on longitudinal data for forecasting, early anomaly detection, and pattern mining
Monitoring deviations, trends, and CAPAs with prebuilt connectors to LIMS, MES, and eQMS
Bi-directional sync with EDCs, CTMS, CDISC, and bioinformatics tools
Cloud-native architecture for ingesting millions of rows from devices, wearables, EHRs, and legacy stacks
Secure, validated data pipelines that meet GxP, HIPAA, and 21 CFR Part 11 requirements by design
Prebuilt models and taxonomies aligned to MedDRA, SNOMED, and CDISC to speed up harmonization
Enable MSLs, clinical ops teams, or QA staff to query data, not just IT teams or analysts
Batch release status, trial progress, compliance metrics, or sales uptick — all viewable in one place
Reusable feature stores and transformation layers for faster experimentation and reliable AI output
Native connectors for Veeva Vault, LabWare, Spotfire, Snowflake, Databricks, and more
Automated red flags on data completeness, protocol deviations, or audit readiness levels
See how prepared your data landscape is to support faster trials, better decisions, and global compliance.
What’s included:
We go beyond maintaining operations—we empower businesses with data, insights, and best practices to stay ahead in an ever-evolving digital landscape.
