Anticipate, answer and act on clinical/medical review questions, uncover trends, patterns and risks through self-service discovery.

Realize significant time reduction spent on physical clinical site inspections while preserving clinical trial data quality.

Improve subject protection, operational efficiency and data quality while significantly reducing trial costs by decreasing or eliminating wasteful Source Data Verification (SDV).

Streamline clinical trials with real-time access to clinical data during all phases of clinical development.

Match therapeutics with patients to lower development costs and improve outcomes.

Improve ways to work with pharmacovigilance data, find insights and drive operational efficiency.

Accelerate time to insight with pre-built analysis modules that create the possibility to conduct an end-to-end analysis in one place.

Understand aggregate demand across different protocols for clinical kits to gain an overall demand view at an enterprise level.

Successfully manage clinical development candidates by finding the balance between the clinical studies portfolio, resources and budget.