Aizon

Aizon is a software as a service platform built for GxP pharmaceutical manufacturing. It connects the data a plant already produces, contextualizes it, and applies real time artificial intelligence so teams can improve yield, reduce deviations and hold product quality to the standard that regulated production demands. The platform is organized around four audiences. Quality leaders use it for automated annual product quality reviews, faster batch releases, FDA audit readiness, streamlined corrective and preventive actions and faster deviation resolution. Production leaders use it for yield optimization, predictive maintenance that avoids unplanned downtime, better capacity utilization and tighter control of critical process parameters such as harvesting time and centrifuge speed. Technical operations leaders use it for continued process verification, timely tech transfers and root cause analysis, while corporate leaders use it for standardization, compliance, knowledge management and the wider digitization agenda. Named products include Unify for data unification and Predict for predictive modeling. Aizon Consulting Services adapt the platform to a specific site rather than shipping a generic deployment. The published engagement runs roughly twelve weeks: an integration framework with data contextualization in weeks one to five, data exploration in weeks four to six, solution validation with on site parameter adjustments in weeks five to eleven, and confirmed impact with cross site industrialization in weeks ten to twelve. Aizon publishes no pricing. There is no pricing page and no plan list anywhere on the site, and the only route to a number is a demo request or the contact form, so expect enterprise terms quoted per deployment.