AI-Led Bio Operations Management Reflects Industry Growth
Quartic.ai, a supplier of manufacturing operations management (MOM) software, reports progress in unifying data across a wider range of systems while adding more advanced analytics. This development aligns with a rise in mature, practical use cases among its customers.
Scott Drap, sales director at Quartic.ai, notes that as the company grows, more frontline users are expanding the software's application across multiple manufacturing facilities. “The difference in recent years is our ability to combine data from IT systems throughout the enterprise—not just from the plant floor,” he says.
Quartic.ai will be presenting at the 17th Annual Bioprocessing Summit in Boston. Drap adds, “We’re more mature as a company, which means we have mature use cases demonstrating real customer benefits.”
Case Study: Improving Monoclonal Antibody Yield
At the upcoming Bioprocessing Summit, Manuel Tejeda, director of customer success, and Vinodh Rodrigues, vice president of customer success at Quartic.ai, will share a case study involving a customer facing issues with the volume and consistency of monoclonal antibody (mAb) yield.
Tejeda explains that the customer’s chromatography column packing had a specific lifetime, but yield data arrived weeks after batch completion, preventing timely decisions. Using Quartic.ai’s platform for real-time batch monitoring, they built models to predict the remaining useful life and quality of the packing column and forecast its impact on yield.
This allowed manufacturing teams to identify packing degradation early and replace it proactively, protecting subsequent batches in the campaign. The customer also addressed inconsistent conductivity in buffer mixing, a common chromatography challenge, by creating real-time models to monitor and manage it effectively.
Drap highlights the outcome: reduced batch discard rates and improved yields, resulting in significant time and cost savings.
Integrating Diverse Data Systems for Better Decisions
Rodrigues points out a broader trend: customers are moving beyond operational technology (OT) data to integrate laboratory information management systems (LIMS) and enterprise resource planning (ERP) data. Many rely on DIY solutions, which often have turnaround times of 7–10 days without proper data integration.
“Our goal is to bring intelligence that leverages these new data pipelines,” Rodrigues says. Quartic.ai is also focused on helping clients scale solutions from single sites to multiple plants, improving operational consistency and efficiency across manufacturing networks.
- Unified data integration across IT, OT, LIMS, and ERP systems
- Real-time batch monitoring for timely quality insights
- Predictive modeling for equipment life and yield impact
- Scaling solutions across multiple manufacturing facilities
For operations managers looking to enhance manufacturing oversight and analytics, this approach highlights the value of combining diverse data streams to improve decision-making and operational outcomes.
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