Product features
Manufacturing and process development
Engineering and maintenance
Quality
Increase the value of pharma manufacturing data and make long-term, data-driven decisions.
Explore features
Transform engineering processes and minimize changeovers by breaking down data silos and using AI to drive insights.
Improve quality performance and promptly address quality incidents using data, AI and ML-enabled insights.
HOW WE DO IT
Improve quality performance and promptly address quality incidents leveraging data and AI/ML enabled insights
Transform engineering processes by breaking down data silos, leveraging analytics to drive meaningful insights has context menu
Increase the value of pharma manufacturing data and make long-term, data-driven decisions
Engineering
Manufacturing and Process Development
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Batch optimization
Receive setpoint recommendations as soon as you need them with a real-time streaming sensor and quality data on a single dashboard.
Digital batch record
Improve batch record time and enhance governance by providing a digital platform tailored to a specific industry.
Manufacturing executive dashboard
Receive all the real-time data needed for operational level decisions on the shopfloor.
Manufacturing digital twin
Use digital twins to make better decisions. Virtually map assets and processes via end-to-end connectivity.
Optimize schedules based on the latest demand forecast and capacity parameters.
Identify and report bottlenecks, underperformance, safety issues and quality concerns instantaneously.
Production scheduling
Manufacturing and Process Developement
Manufacturing Digital Twin
Virtual map physical asset or process visually enabled with E2E connectivity to make informed decisions
Master Data Management
Identify and overcome challenges, emerging trends, and opportunities on supply chain master data
Manufacturing Executive Intellisuite
Connect into realtime streaming sensor and quality data to get real-time optimization setpoint recommendations
Production Scheduling
Connect into real-time streaming sensor and quality data to get real-time optimization setpoint recommendations
Batch Optimization
External CMO 360
Manage and Optimize External Supply business – Portfolio analysis, Supplier capability analysis has context menu
Avoid failures by using data analytics to detect anomalies and defects.
Environmental sustainability
Use advanced analytics and drill-down capabilities to access real-time insights into our sustainability KPI dashboard.
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 using ML models. Reply to stakeholders using edge connectivity without human intervention.
Safety management by camera vision
Enable incident prediction from camera feedback to provide quicker root cause analyses of incidents and unsafe acts.
Get near-real-time insights in our sustainability KPI dashboard using advanced analytics and drill-down capabilities.
Predictive maintenance
Anomaly Detection
Use ML to detect variance in asset's normal operation that could lead to degradation of equipment optimal performance
Closed Loop AI Control
Perform setpoint adjustments by writing directly to controllers/ PLCs using edge connectivity without human intervention
Environmental Sustainability
Sustainability KPI dashboard with advanced analytics & drill down capabilities with near real time insights
Predictive Maintenance
Uses data analytics to detect anomalies and defects in the Asset operations and process before it results in a failure
Product Performance Dashboards
Get real-time visibility by combining both product (batch) and equipment health metrics in a single dashboard
Root Cause Failure Analysis
Identify root cause of the failures so that preventative maintenance can be scheduled on time
Cluster deviations based on descriptions to help with the process of root cause analysis.
Product control strategies
Implement rules for monitoring product CQAs and identifying critical process parameters.
Batch traceability and material genealogy
Improve visibility across manufacturing stages with end-to-end batch traceability and material genealogy.
Continuous process verification
Monitor all critical quality attributes (CQAs) in real time for a holistic approach for product and process health.
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.
Deviation analytics
Continuous Process Verification
A wholistic approach to product and process health, monitor all Critical Quality Attributes (CQAs) in real-time
Real-time Monitoring
Ingest raw spectral scan data and use machine learning models to convert that data into real-time quality data
Predictive Quality
Use of historical data to predict intermediate and final product quality values, so corrective actions can be implemented before a regulatory deviation occurs
Product Control Strategies
Implement rules for monitoring product critical quality attributes (CQAs) and critical process parameters (CPPs)
Deviation Analytics
Clustering the deviations based on description to help with root cause analysis process
Traceability
End-to-end batch traceability to improve visibility across manufacturing stages
