What's Happening?
Quartic.ai, a supplier of manufacturing operations management software, is advancing its technology by unifying data across various systems and enhancing analytics. The company has seen an increase in mature use cases among its customers, who are scaling the software across multiple manufacturing facilities. At the upcoming Bioprocessing Summit, Quartic.ai will present a case study highlighting the benefits of real-time batch monitoring in improving monoclonal antibody yield. The study demonstrates how the platform helps predict the impact of packing column quality on yield, allowing timely interventions to prevent batch degradation. This approach has resulted in reduced discarded batches and increased yields, showcasing the platform's effectiveness in operational technology data integration.
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Why It's Important?
The advancements by Quartic.ai in AI-led bio operations management are crucial for the bioprocessing industry, as they offer solutions to common challenges such as inconsistent yield and conductivity issues. By integrating data from various systems, including laboratory information management and enterprise resource planning, the platform enables more efficient operations and decision-making. This integration reduces turnaround times and enhances the ability to leverage data for improved outcomes. The case study presented by Quartic.ai highlights the potential for significant cost savings and increased productivity, demonstrating the growing maturity and impact of AI in bioprocessing.
What's Next?
Quartic.ai is focused on helping its clients scale solutions across multiple plants, further expanding the reach and impact of its technology. The company aims to continue integrating new data pipelines and enhancing its platform's intelligence to support broader industry trends. As the bioprocessing industry evolves, Quartic.ai's technology is positioned to play a key role in driving innovation and efficiency.
