Chryselys’ Agentic-AI–powered Data Quality Management (DQM) framework generates contextually relevant DQ rules, reducing manual setup time by up to 70%.
Spanning the entire data lifecycle from acquisition through distribution, our intelligent DQM engine ensures data accuracy, consistency, and timeliness, enabling organizations to confidently rely on data that is not only clean, but strategically valuable.
Ensures data accuracy and consistency by automatically checking and validating information across tables, files and sources. Using NLP, users can dive deeper into the details of data validation and quality, regardless of technical expertise.
Ensure consistent, validated data across all pharma systems through automated verification, reducing mismatches and compliance risks across commercial, clinical, and financial domains.
Monitor data quality in real time with unified dashboards offering freshness, completeness, and anomaly insights across MDM, sales, and clinical pipelines.
Empower users with continuously refreshed and accurate datasets ensuring timely insights for forecasting, regulatory submissions, and field performance analytics.
Reduce reprocessing costs and data-cleaning overhead through early anomaly detection at source and automated DQ workflows, maximizing ROI on data engineering investments.
Deliver reliable insights to business leaders by eliminating data inconsistencies, enhancing trust in dashboards, and accelerating evidence-based pharma decisions.
Leverage AI to auto-detect anomalies, predict data drifts, recommend AI-generated rules and fixes for proactive, self-healing data quality at scale.
In pharma, every decision backed by clean, consistent, and complete data is a decision made with confidence. Chryselys’ Data Quality Management solutions are built to give you just that – data you can trust, processes you can scale, and outcomes you can measure.
Whether you’re driving analytics, powering field strategy, or managing compliance, we make sure your data does its job reliably, every time.
Because in pharma, poor data isn’t just a tech issue – it’s a business risk. Let’s fix it at the source.Revolutionize your business trajectory and achieve unprecedented growth with our committed partnership
