Automated PAT

Automated PAT by Quartic is a process analytical technology software solution designed for pharmaceutical and life sciences manufacturers seeking to move beyond manual, offline assay workflows. By transforming spectral data from instruments such as RAMAN and NIR analyzers into real-time quality and yield KPIs, Automated PAT enables inline monitoring, soft sensor creation, and data-driven process optimization — accelerating decision-making and reducing cycle times across production units, lines, and sites.

Many manufacturers find that their PAT investments are underutilized on the production floor. Manual assays slow down decision and cycle times, offline-only usage delays timely operational feedback, and data preparation and analysis require expert intervention. Lack of model standardization across sites, the high cost of achieving inline quality control, and the significant effort required to scale PAT in pharmaceutical environments are common barriers. Quartic's Automated PAT solution is purpose-built to address each of these challenges.

Core Capabilities

• Native Spectral Data Ingestion: Supports all major PAT instruments including RAMAN and NIR analyzers, with native ingestion, automated filtering, and smoothing for both offline and streaming data consumption.
• Soft Sensor Creation: Transforms PAT spectra into predicted quality metrics or material properties, enabling inline quality control and downstream process optimization.
• Key Attribute Prediction: Monitors critical process attributes and spectra in real time, comparing predictions against targets to support proactive intervention.

Key Benefits

• Eliminate delays caused by manual lab assays for characterization and production workflows.
• Enable in-line quality predictions across multiple process units simultaneously.
• Build predictive models for yield and quality using soft sensors.
• Increase the ROI from existing PAT instrumentation investments through greater automation and utilization.
• Achieve faster assay turnaround and significant cycle time reduction.

Differentiating Features

• Native ingestion of spectral data (RAMAN, NIR, and more) combined with process data for full context.
• Real-time data consumption via OPC-UA, supporting closed-loop control scenarios.
• Integration with MVDA (multivariate data analysis) software for deeper process insight.
• Support for both linear and non-linear modelling approaches.
• Scalable from offline soft sensors to real-time inference and closed-loop control across units, lines, or sites.

Who It Is For

• Process Engineers: Convert PAT data into live quality and yield predictions, monitor soft sensor outputs in real time during batch execution, and identify deviations early to intervene before failure.
• Data Analysts: Access ready-to-use industrial datasets, apply models with faster validation cycles, and reduce model-to-impact lag time using clean, contextualized OT/IT data.
• Quality & Compliance Teams: Streamline continuous process verification (CPV) with in-line models, reduce lab dependency, increase testing frequency without increasing workload, and ensure GxP-ready data handling for audit trails.
• Reliability & Maintenance Teams: Securely bridge OT and IT with a scalable, governed data infrastructure, maintain compliance and data lineage, and avoid vendor lock-in through open standards.
• Digital Transformation Leaders: Scale PAT manufacturing solutions across the enterprise, use process analytical technology for objective outcome measurement, and maximize ROI from PAT instrumentation and data.

Compliance and Deployment

• All data ingestion, model building, and deployment steps align with GxP requirements and support CSV (Computer System Validation) compliance, ensuring data integrity in pharmaceutical environments.
• The solution is cloud-native but can be deployed in a private cloud, public cloud, or customer data center, providing deployment flexibility to meet organizational and regulatory requirements.
• Supports scaling from pilot offline deployments to full inline real-time inference and closed-loop control using OPC-UA across multiple units, lines, or manufacturing sites.