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
Explore features
Explore features
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Manufacturing and process development
Product features
HOW WE DO IT
Identify and report bottlenecks, underperformance, safety issues and quality concerns instantaneously.
External CMO 360
Manage and optimize your external supply business with portfolio and supplier capability analyses.
Master data management
Identify emerging opportunities. Overcome challenges earlier with supply chain and manufacturing master data.
Production scheduling
Optimize schedules based on the latest demand forecast and capacity parameters.
Manufacturing digital twin
Make informed decisions by virtually mapping assets or processes via end-to-end connectivity using a digital twin.
Batch optimization
Get optimization setpoint recommendations as soon as they’re needed with real-time streaming sensor and quality data.
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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
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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