Chromatography Insights is the industry's first chromatography dashboard designed to unite disparate data from all major Chromatography Data Systems (CDSs) into one cohesive enterprise platform. This solution empowers life sciences organizations with new, actionable insights by providing access to large-scale datasets, enabling proactive monitoring to prevent costly out-of-spec (OOS) events. It processes millions of injections with minimal data latency, leading to significant reductions in OOS events. The platform allows teams and leaders to proactively monitor method, column, and system performance from a single, universal dashboard. It unlocks the full power of chromatography data at enterprise-scale, offering features like visual performance trending, control charting, column logbook management, system usage tracking, and comprehensive compliance monitoring. By centralizing and harmonizing data across CDSs, projects, and sites, Chromatography Insights accelerates method development, improves batch consistency, enhances data integrity, and streamlines audits. It also lays the groundwork for advanced predictive insights and AI models, transforming historical and recent data into robust analytical tools for optimizing processes, forecasting outcomes, and auto-detecting anomalies.

Features & Benefits

• Universal Data Unification
  • Unites chromatography data from all major CDSs into a single enterprise platform, providing a centralized source of truth.
• Proactive Monitoring & OOS Prevention
  • Enables proactive monitoring of method, column, and system performance to prevent out-of-spec events, potentially reducing them by up to 75%.
• Performance Trending & Control Charting
  • Visually compare chromatographic runs to quickly identify method performance changes. The Chromatogram Overlay feature accelerates method development and optimization by turning days of numerical analysis into minutes of visual troubleshooting.
• Column Logbook
• System Usage
• Compliance Monitoring
• Increased Productivity & Data Integrity
  • Instantly identify method performance issues across instruments, columns, and reagents without switching between vendor-specific tools or manual data aggregation, increasing productivity and data integrity by at least 50%.
• Improved Compliance & Reduced Risk
  • Surface critical compliance data points—such as injection counts, sample duplicates, and result ratios—to streamline audits and minimize risk.
• Groundwork for Predictive Insights & AI
  • Turn historical and recent data into robust AI models to optimize method development, forecast outcomes, and auto-detect anomalies.
• Capabilities for Analytical Teams
  • Accelerate method development with accessibility to historical and recent data across projects, departments, and users. Ensure smooth tech transfers with proactive titer and purity data monitoring across development and QC sites and CDMOs. Cut troubleshooting time from days to hours with complete visibility across batches and sites. Build better methods faster using historical data patterns.
• Capabilities for Quality Teams
  • Proactively monitor product quality within and across batches of drug substances and products for better process control. Improve batch consistency and release by tracking impurity trends along with system suitability and control samples. Surface and flag anomalies early that may trigger deviations and costly investigations. Enhance compliance and streamline audits with full visibility into critical compliance data points.
• Capabilities for IT, Data, and Digital Teams
  • Get FAIR, AI-ready chromatography data faster with prebuilt pipelines that cut data preparation time by 50%—centralized and harmonized across CDSs, projects, and sites. Eliminate duplication and governance overhead with curated datasets accessible directly into your tool of choice like Databricks or Snowflake. Enable reliable insights and scalable models by building on complete, accurate datasets with traceable lineage. Accelerate decisions with an enterprise-ready dashboard that surfaces hidden patterns, method variability, and anomalies across chromatography data.