Aizon Predict

Aizon Predict is a predictive analytics platform designed for pharmaceutical and life sciences manufacturers operating in GxP-regulated environments. It is built to operationalize AI across manufacturing sites, production lines, and batch processes, combining retrospective analytics with real-time, continuous prospective insights to support decision-making and process optimization.

The platform is developed with "GMP by design," meaning Good Manufacturing Practice standards are embedded into the solution from the ground up rather than applied as an overlay. Aizon positions Predict as an interoperable, cloud-based tool intended to scale predictive intelligence across an organization with minimal barriers to adoption.

Core Application Areas

• Yield Optimization: Supports fine-tuning of manufacturing yields through real-time predictive analytics, with documented customer outcomes including a 1.5% yield improvement at Recordati within three months and yield optimization work with Grifols across downstream plasma fractionation.
• Deviation Reduction: Applies predictive intelligence to anticipate and reduce process deviations before they occur.
• Capacity Utilization: Helps manufacturers maximize use of available production capacity.
• Customer Visibility: Provides insight relevant to on-time and in-full (OTIF) delivery performance.
• Continuous Process Verification: Supports ongoing monitoring and verification of manufacturing processes in line with regulatory expectations.
• Multivariate Root Cause Analysis (RCA): Enables identification of operational issues contributing to yield loss or inefficiency, as demonstrated in a case study involving major operational savings at a large pharma company.

Key Platform Characteristics

• GxP compliance by design: GMP standards are built into the architecture, not added after the fact, supporting compliance and quality from initial deployment.
• Interoperability: Designed to work with existing data sources with no stated limits on data volume or number of users.
• Cloud-based architecture: Open and flexible infrastructure intended to reduce implementation complexity and lower the barrier to getting started.
• ROI model: Described as a low-risk investment structured to scale with the value delivered to the customer.

Workflow and Integration

• Predict works in conjunction with Aizon Unify, a production historian that consolidates batch context data to enhance predictive model inputs.
• It also integrates with Aizon Execute, which captures first-hand batch record information to further strengthen predictive capabilities.
• Aizon Consulting Services (ACS) is available to assist organizations in scoping and implementing predictive use cases efficiently.

Aizon Predict is applicable to both small and large molecule manufacturing, with documented use cases spanning downstream processing and real-time process monitoring across sites in Europe and the United States. The platform supports goals including optimization of Critical Quality Attributes (CQAs), right-first-time (RFT) outcomes, and OTIF delivery performance.