About Us
Our History
Sentinel Data Sciences was built on the principles of COMPSTAT, a disciplined operational intelligence model originally developed to help leadership teams monitor complex field activity, detect emerging patterns, identify anomalies, and respond quickly with data-driven action. At its core, COMPSTAT is not simply reporting; it is a surveillance framework for turning fragmented operational data into timely, accountable decisions.
Sentinel applies that same methodology to modern clinical development. We support sponsors and CRO partners through rigorous data quality oversight, protocol-specific surveillance frameworks, blinded data review, and decision-ready reporting in high-variance clinical trial environments.
Our work emphasizes early signal detection, traceability, anomaly review, and disciplined reporting so that study leadership can identify gaps, inconsistencies, operational drift, and database-lock risks earlier — and act with greater speed, clarity, and confidence.
Our Mission
Sentinel Data Sciences was founded by clinical research and data surveillance leaders with decades of experience across sponsor, site, clinical development, data review, and operational intelligence settings. Our principals have contributed to several hundred clinical trials, including work as investigators, sponsor-side clinical development leaders, data analysts, and surveillance/reporting specialists.
This experience gives Sentinel a practical understanding of how trial risks emerge: not usually from one obvious failure, but from accumulated gaps, inconsistencies, delayed reconciliation, site-level variability, endpoint drift, unresolved anomalies, and reporting blind spots.
Sentinel was built to address that problem through protocol-specific surveillance, blinded review, and decision-ready reporting that help sponsors identify what needs attention earlier, before late-stage rework, database lock pressure, or avoidable surprises.
Reporting
File coming soon.
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