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Company description

Aizon develops AI-powered software-as-a-service solutions for GxP pharmaceutical manufacturing. The platform is designed to help pharmaceutical companies improve yield, reduce deviations, and ensure product quality by applying real-time predictive analytics and data-driven insights to manufacturing operations. Aizon describes its team as pharma manufacturing professionals with technology expertise, and its solutions are built to address the specific needs of regulated manufacturing environments rather than offering generic tooling.

Aizon serves four primary stakeholder groups within pharmaceutical manufacturing organisations: Quality Leaders, Production Leaders, TechOps Leaders, and Corporate Leaders. Each group has distinct use cases addressed by the platform, spanning quality assurance, yield optimisation, asset management, and enterprise-wide digitisation.

Capabilities for Quality Leaders

• Automated Annual Product Quality Reviews (PQRs)
• Faster batch releases
• FDA audit readiness support
• Product quality assurance
• Streamlined Corrective and Preventive Actions (CAPAs)
• Rapid deviation resolution

Capabilities for Production Leaders

• Yield optimisation
• Avoidance of interruptions and production delays
• Capacity utilisation improvement
• Cost of goods sold (COGS) reduction
• Operator adherence monitoring
• Increased customer transparency

Capabilities for TechOps Leaders

• Avoidance of over-maintaining assets
• Timely technology transfers
• Continued process verification
• Right-first-time process support
• Root cause analytics

Capabilities for Corporate Leaders

• Standardisation of tools and processes across sites
• Compliance management
• Knowledge management
• Cybersecurity considerations
• Support for broader digitisation agendas

Key Products

• Aizon Unify — a lakehouse and data analysis solution that integrates and contextualises manufacturing data, enabling batch comparison analytics and multivariate root cause analysis (RCA)
• Aizon Predict — a predictive analytics module used for applications such as yield optimisation in downstream and plasma fractionation processes

Implementation Approach

• Aizon offers consulting services through its Aizon Consulting Services (ACS) practice, which adapts solutions to client-specific needs
• The implementation journey is structured across approximately 12 weeks: integration framework and data contextualisation (weeks 1–5), data exploration and hypothesis testing (weeks 4–6), solution validation with on-site critical process parameter (CPP) adjustments (weeks 5–11), and cross-site industrialisation of insights (weeks 10–12)
• Aizon states that initial results can be achieved within six weeks of engagement

Notable Customers and Use Cases

• Grifols — a large pharma company that scaled yield optimisation across downstream processes in Europe and the United States using Aizon Unify and Predict
• Curia — a contract development and manufacturing organisation (CDMO/CMO) that reduced yield variability in precipitation phase processes using automated batch comparison analytics via Aizon Unify
• A leading pharma company achieving operational savings through multivariate root cause analysis applied to downstream plasma fractionation

Leadership and Governance

• Founded by Pep Gubau (CEO and CTO) and Toni Manzano, Ph.D. (Chief Science Officer)
• Strategic Advisory Board includes Michele D'Alessandro (former VP and CIO of Manufacturing IT at Merck), Jerh Collins (Chief Technical Operations and Quality Officer at Moderna), and Matthias Pohl (Partner at Interpharmalink)
• Investors include Crosslink, Atlantic Bridge, and New Vale

Aizon is headquartered with operations serving customers in Europe and the United States, and positions its platform specifically for regulated GxP pharmaceutical manufacturing environments, including both pharma companies and CDMOs/CMOs.

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Software attributed to Aizon

• Aizon ExecuteView
• Aizon UnifyView
• Aizon PredictView
• Agentic StudioView

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