HOW WE DO IT

Product features

Quality

Deviation analytics

Cluster deviations based on descriptions to help with the process of root cause analysis.

Continuous process verification

Monitor all critical quality attributes (CQAs) in real time for a holistic approach to product and process health. 

Product control strategies

Implement rules for monitoring product CQAs and critical process parameters.

Real-time monitoring

Ingest raw spectral scan data and use machine learning models to convert that data into real-time quality data.

Predictive quality

Predict intermediate and final product quality values and implement corrective actions before regulatory deviations.

Traceability

Improve visibility across manufacturing stages with end-to-end batch traceability. 

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Quality

Product features

HOW WE DO IT

Predictive quality

Predict intermediate and final product quality values and implement corrective actions before regulatory deviations.

Traceability

Improve visibility across manufacturing stages with end-to-end batch traceability. 

Real-time monitoring

Ingest raw spectral scan data and use machine learning models to convert that data into real-time quality data.

Product control strategies

Implement rules for monitoring product CQAs and critical process parameters.

Continuous process verification

Monitor all critical quality attributes (CQAs) in real time for a holistic approach to product and process health. 

Deviation analytics

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Engineering

Product features

HOW WE DO IT

Environmental sustainability

Get near-real-time insights in our sustainability KPI dashboard using advanced analytics and drill-down capabilities.

Root cause failure analysis

Identify the root cause of the failures so that preventive maintenance can be scheduled on time.

Closed loop AI control

Perform setpoint adjustments by writing to controllers and 
PLCs using edge connectivity without human intervention.

Predictive maintenance

Use data analytics to detect anomalies and defects in the asset operations and process to avoid failures.

Anomaly detection

Use machine learning to detect variances in an asset’s operation that could lead to degradation of its performance.

Product performance dashboards

Product features

HOW WE DO IT

Improve quality performance and promptly address quality incidents using data, AI and machine-learning-enabled insights.

Transform engineering processes by breaking down data silos and leveraging analytics to drive meaningful insights.

Increase the value of pharma manufacturing 
data and make long-term, data-driven decisions.

Quality

Engineering

Manufacturing and process development

Explore features