A multinational healthcare conglomerate specializing in pharmaceuticals, medical devices, and consumer healthcare products, with a strong focus on research and development to drive medical innovation.

Manual analysis of crystalline particle properties was slow and expensive, hindering the client’s production and discovery processes.

The client, with Turing's support, implemented a comprehensive AI-powered image analysis solution:

• Image acquisition and processing: High-depth grayscale images were captured at regular intervals using endoscopic imaging to ensure detailed particle analysis. These images were processed to evaluate desired particle attributes.
• Deep learning models: Self-supervised deep-learning models were trained on annotated images to accurately identify crystal properties. The solution was containerized for deployment, ensuring scalability and integration with the client’s existing systems.

• 500% improvement in crystal discovery process: Automation significantly accelerated crystal analysis.
• Significant reduction in analysis time: Manual analysis time reduced from hundreds of hours to just a few.
• Enhanced production timelines: Faster and more accurate analysis improved overall production timelines.