How can pharma quality teams use AI in GMP manufacturing?
Aizon helps pharma quality teams reduce deviations, get more batches right first time and release faster, with GxP AI that quality controls. Aizon digitizes paper batch records to GMP production in under 6 weeks, connects every plant system in a GxP data fabric, and runs AI models in production with full traceability and ALCOA+ compliance. On the P&L, that means higher yield, lower cost of goods and more capacity from the same plant.
Frequent Questions
What is Aizon?
Aizon is a GxP AI platform for pharma and biotech manufacturing. It has three products: Execute digitizes paper based batch execution, Unify ingests and contextualizes data from every plant system, and Predict operationalizes AI models under GxP control. Aizon runs on top of the systems a manufacturer already uses.
Who is Aizon for?
Aizon is built for quality, production, tech ops and corporate operations teams at pharma and biotech manufacturers and contract manufacturers (CDMOs). Quality sets the rules for how data and AI are used in GMP decisions, and every team works from the same GxP data foundation.
Why do quality teams struggle to use AI in GMP manufacturing?
AI needs good quality data. At most contract manufacturers the batch record is still on paper, and that paper holds the context that links shop floor events to every other system. Even when records are digital, data is scattered. Quality ends up building reports and reviewing batches at the end, when it is too late to improve them.
How long does it take to digitize paper batch records with Aizon?
Aizon Execute takes paper batch records to GMP production in under 6 weeks.
What is a GxP data fabric?
A GxP data fabric connects and contextualizes data from all manufacturing systems (batch records, MES, LIMS, historians, QMS) in a compliant layer. Aizon Unify provides this fabric and lets teams build apps and dynamic dashboards on top of it.
What is the difference between agentic AI and operationalized AI in GMP?
Agentic AI fits exploratory work: speeding up investigations, summaries and first drafts. GMP decisions need operationalized, compliant AI with human oversight, where each model is validated, versioned and monitored. Aizon supports both and applies each where it fits.
How does Aizon govern AI models in GMP production?
Aizon Predict gives quality a control tower over every model. It shows which models are in production, who validated them, what data they were trained on, their lifecycle stage, who can use them, their accuracy over time, and whether they are drifting. Every model stays auditable and traceable to its origin.
Is Aizon compliant with ALCOA+?
Yes. Aizon keeps data and AI models auditable and traceable to their origin, in line with ALCOA+ data integrity principles.
Does Aizon replace MES, LIMS or QMS?
No. Aizon runs on top of existing systems. Execute digitizes paper based execution where no electronic batch record exists, and Unify connects the systems already in place.
What results do manufacturers get with Aizon?
Fewer deviations, more batches right first time and faster batch release. On the P&L this means higher yield, lower cost of goods and more capacity from the same plant.