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ZuuriPharm

Updating the operating model

Industry
Biotechnology
Public information as of
January 2026

A4BEE prepared this analysis from publicly available sources. It reflects our own reading of ZuuriPharm's published strategy and is not endorsed by, or produced in cooperation with, ZuuriPharm. Company website

Strategic priorities

ZuuriPharm operates across 4 stated priorities, with the most concrete near-term plan anchored on commercial cdmo expansion.

Transitioning from internal hospital pharmacy services to offering contract manufacturing for external clients, targeting clinical trial supply and orphan drug production markets.

Upgrading from "partially automated" infrastructure to fully integrated Industry 4.0 systems with real-time OEE monitoring and predictive maintenance.

Implementing Closed Loop Medication Management to ensure smooth medication tracking from production in Schlieren to patient bedside at USZ and KSW.

Challenges we see

  • Operations Manufacturing

    Manual Solid Dosage Manufacturing Bottleneck

    Despite the state-of-the-art Schlieren facility, solid dosage forms (capsules) remain manual processes, limiting scalability and introducing quality variability.

    Manual production introduces significant batch-to-batch variability and prevents ZuuriPharm from accepting large-volume external contracts.

  • Digital Integration

    Joining records across systems

    The reliance on SAP combined with manual MS Office data entry creates disconnected data islands between manufacturing floor OT systems and business management IT layer.

    Critical clinical trial data and analytical results are stored in disconnected systems, creating audit gaps and preventing real-time decision-making.

  • Operations Operations

    Skilled Workforce Shortage

    The parent organization USZ reported significant bed closures due to labor shortages, and ZuuriPharm faces similar pressures in recruiting pharmaceutical technologists.

    In a manual-heavy environment, labor shortages directly translate to manufacturing downtime and an increased rate of quality deviations.

  • Compliance Regulatory

    GxP Data Integrity for External CDMO Clients

    Moving from internal hospital pharmacy to external CDMO services requires elevated audit readiness and ALCOA+ compliant data integrity standards.

    Current manual analytical reporting and paper-based documentation pose risks to the data integrity required by international pharmaceutical clients.

  • Digital Integration

    Cybersecurity in Converged OT/IT Environment

    Integration with USZ network combined with external CDMO partnerships increases cybersecurity attack surface on the OT layer in Schlieren.

    Protecting manufacturing systems while maintaining flexibility for CDMO operations requires implementing IEC 62443 standards across the connected infrastructure.

Opportunities, by urgency and business impact

Each bubble is one opportunity, numbered to match the list below. Further right means it bites sooner; higher means a bigger effect on the business. A bigger bubble means a bigger implementation effort.

Source: A4BEE analysis of public sources

  1. Excel-Based Analytical Lab Data Management

    Analytical instruments (HPLC, IC, UV/VIS, IR, Raman) generate data that must be manually transcribed into quality reports, creating data silos and ALCOA+ compliance risks.

    Implement vendor-neutral laboratory data integration using OPC UA standards to bridge diverse instrument pools with central LIMS/SAP systems, eliminating manual transcription and ensuring audit-ready data chains.

  2. Manual Capsule Production Throughput Limitation

    Manual solid dosage production creates a bottleneck that limits throughput, introduces variability, and prevents ZuuriPharm from accepting large external CDMO contracts.

    Deploy IoT sensors and automation retrofitting to manual capsule lines, enabling real-time monitoring, reducing human error, and increasing production capacity for CDMO market capture.

  3. Lack of Real-Time Production Visibility

    No integrated Industrial Data Platform provides real-time OEE or predictive maintenance insights, forcing reliance on manual monitoring of delivery capability and supplier performance.

    Establish ontology-based data pipelines connecting Schlieren OT systems to SAP, providing real-time visibility into production metrics and enabling proactive decision-making.

  4. High-Potency (OEB 4) Process Manual Interventions

    Handling OEB 4 substances requires rigorous containment, yet current processes involve manual steps in cleanroom classes A and B, risking operator exposure.

    Implement computer vision and AI-driven predictive process control for high-potency lines, reducing operator intervention in hazardous environments while improving batch consistency.

  5. Slow CDMO Production Line Validation

    ZuuriPharm offers dedicated production lines for external clients, but traditional manual validation methods create extended time-to-market delays.

    Adopt MTP (Module Type Package) standards for "Plug & Produce" modularity, enabling rapid reconfiguration of manufacturing floor to meet client-specific requirements and accelerate validation.

What we'd propose

  • Digital Lab

    Analytical Lab Data Integration Platform

    Deploy a vendor-neutral laboratory information ecosystem connecting diverse analytical instruments to central LIMS and SAP systems, ensuring automated data capture and GxP-compliant data integrity.

    • Unified data backbone

      Connect instruments and LIMS into a single data spine so QC and CDMO records are queryable across sites.

      DETAIL

    • Paperless workflows

      Move lab execution from paper to instrument-captured records with full audit trail.

      DETAIL

    • Continuous QC release

      Review-by-exception dashboards that flag only the records needing scientist attention.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Digital Lab
  • Enterprise AI

    Industrial Data Platform for Production Intelligence

    Build an ontology-driven data lakehouse connecting Schlieren OT systems to enterprise IT, providing real-time OEE visibility and predictive analytics for manufacturing optimization.

    • Ontology layer

      A shared semantic model so lab, process, and quality data describe the same things the same way.

      DETAIL

    • Predictive models

      Models trained on the historical data plane that flag deviations before they become scrap.

      DETAIL

    • Decision surfaces

      Single pane of glass that surfaces model output to the right role at the right moment.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Enterprise AI
  • Digital CDMO

    Smart Manufacturing Retrofit for Solid Dosage

    Retrofit manual capsule production lines with IoT sensors, real-time monitoring, and process automation to increase throughput, reduce variability, and enable CDMO scalability.

    • OT/IT convergence

      Pull sensor and controller data off the line into a shared data plane in real time.

      DETAIL

    • Batch intelligence

      Golden-batch comparison and deviation detection running on the same data plane.

      DETAIL

    • Production release flow

      Closed-loop between QA, MES, and ERP so batch record review and release follow the data, not the paperwork.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Digital CDMO
  • Digital Lab

    Computer Vision for High-Potency Process Control

    Implement non-invasive computer vision monitoring and AI-driven control algorithms for OEB 4 manufacturing, reducing operator exposure while improving batch consistency and yield.

    • Unified data backbone

      Connect instruments and LIMS into a single data spine so QC and CDMO records are queryable across sites.

      DETAIL

    • Paperless workflows

      Move lab execution from paper to instrument-captured records with full audit trail.

      DETAIL

    • Continuous QC release

      Review-by-exception dashboards that flag only the records needing scientist attention.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Digital Lab
  • Digital Lab

    MTP-Based Modular Production Architecture

    Design and implement MTP-compliant modular automation framework enabling rapid production line configuration for diverse CDMO client requirements with accelerated validation timelines.

    • Unified data backbone

      Connect instruments and LIMS into a single data spine so QC and CDMO records are queryable across sites.

      DETAIL

    • Paperless workflows

      Move lab execution from paper to instrument-captured records with full audit trail.

      DETAIL

    • Continuous QC release

      Review-by-exception dashboards that flag only the records needing scientist attention.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Digital Lab

Digital maturity: today and target

Scored out of 100 across six dimensions. The target is what ZuuriPharm's own published ambition implies — not a perfect score.

Source: A4BEE analysis of public sources
Lab Data Integration 35 → 85
Analytical instruments operate as isolated islands with manual Excel-based data management; target is automated OPC UA connectivity
Production Visibility 30 → 80
No real-time OEE or predictive maintenance; manual monitoring of delivery capability; target is unified Industrial Data Platform
Manufacturing Automation 45 → 85
Advanced cytostatic robots coexist with fully manual solid dosage production; target is balanced automation across all lines
IT/OT Convergence 25 → 75
SAP and shop floor systems operate disconnected; manual master data entry; target is ontology-based unified data architecture
GxP Data Integrity 40 → 90
Paper-based processes and manual transcription pose ALCOA+ risks; target is fully validated electronic batch records
Cybersecurity Posture 35 → 80
USZ network integration increases attack surface; no IEC 62443 implementation; target is Zero Trust OT security architecture

Check this yourself

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Related reading

This is an independent analysis prepared by A4BEE from publicly available information as of January 2026. It reflects A4BEE's own interpretation and opinion, is not affiliated with, endorsed by, or verified with ZuuriPharm, and may be incomplete or inaccurate. All company names and trademarks are the property of their respective owners. To request a correction or removal, contact [email protected].