Aizon Predict

Aizon Predict is a GxP AI operationalization platform designed for pharmaceutical manufacturers and CDMOs that need to move machine learning models from proof of concept into production. While most organizations can build models, deploying them in a GxP environment requires governance, validation, and continuous monitoring that generic platforms do not provide. Predict enables data scientists to build, validate, and deploy models directly on contextualized manufacturing data, with full lifecycle control and regulatory alignment.

Predict provides real-time, batch-linked manufacturing insights from day one. Data scientists can explore process parameters, quality attributes, and batch context without manual data preparation. Models are deployed into live manufacturing workflows to deliver real-time predictions on yield, deviations, and process performance. Continuous monitoring ensures models remain within validated conditions, with controlled lifecycle management and full traceability.

The platform includes GxP-compliant audit trail, version control, and automated documentation aligned with industry guidance. Predict enables use cases such as yield optimization, deviation reduction, and continued process verification, helping teams improve process performance and decision making.