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Lelypharma

Updating the operating model

Industry
Pharmaceuticals
Public information as of
January 2026

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

Strategic priorities

Lelypharma operates across 4 stated priorities, with the most concrete near-term plan anchored on dutch standard quality.

Maintaining the highest pharmaceutical standard through meticulous verification of every batch against sacred production protocols, serving as the foundation of customer trust in the human and veterinary medicine supply chain.

Enabling flexibility to accept very small quantities with no minimum order through efficient changeover processes and multi-product cleanroom capabilities, differentiating from large-scale global competitors.

Providing immediate insight into documentation, certificates, and stability study results through the My Lelypharma portal, establishing trust through accessibility and service responsiveness.

Challenges we see

  • Operations Manufacturing

    Labor-Intensive Machine Changeovers

    Every product requires unique machine and cleanroom settings, and the production team acknowledges that switching from one task to another remains "very labor-intensive" despite facility upgrades. This limits the number of customers Lelypharma can serve within existing capacity.

    Manual changeover processes create a revenue ceiling tied directly to headcount and floor hours, preventing the scalability required to achieve stated growth goals of helping more customers in the same amount of time.

  • Digital Integration

    Document-Centric Quality Management

    The production protocol is described as a "sacred document" requiring manual signature and verification, while the My Lelypharma customer portal functions primarily as a document repository rather than real-time monitoring platform.

    Paper-based or static digital records create a trust deficit between shop floor and data scientists, requiring manual transcription into registration files and increasing the risk of non-contemporaneous documentation violations flagged by FDA and EMA.

  • Digital Operations

    Siloed Laboratory Data

    The 11-person QC laboratory operates with high skill but no integrated Laboratory Information Management System connecting directly to manufacturing PLC systems, creating disconnected data islands within the Lelystad facility.

    Manual lab data management creates bottlenecks for the quick delivery times Lelypharma promises, elongating time-to-market for new customer products and preventing real-time biological KPI visualization.

  • ESG Energy

    Energy-Intensive Environmental Control

    The penicillin cleanroom requires constant humidity control below 20%, adjusted manually "at the push of a button" without predictive or automated environmental sequencing based on production schedules.

    Without IoT-driven smart HVAC systems, energy costs exceed necessary levels while tracking Scope 1, 2, and 3 emissions for CSRD compliance becomes administratively burdensome without automated sensors.

  • Operations Manufacturing

    Tribal Knowledge Dependencies

    Production leadership describes "cracking difficult production cases" through veteran employee expertise, with the "trick" to making tablet production feasible residing in individual experience rather than standardized digital processes.

    Critical process knowledge is not scalable during labor shortages or staff turnover, and reliance on manual adjustment of machines for high-sensitivity mixing of potent substances creates vulnerability to human fatigue and variability.

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. Real-Time Process Monitoring Gap

    The My Lelypharma customer portal provides documentation retrospectively but customers cannot see live telemetry of stability studies or production environments, limiting transparency to historical outcomes rather than active process intelligence.

    Upgrade the customer portal to a TechBio platform with real-time stability test telemetry, automated validation status, and live KPI dashboards, transforming passive document retrieval into active process partnership.

  2. Changeover Automation Deficit

    Production changeovers between different products and cleanroom configurations remain labor-intensive manual processes, creating a direct bottleneck between production capacity and the goal of serving more customers in the same time.

    Implement MTP (Module Type Package) modular retrofitting to transform changeovers into Plug & Produce events, enabling automated orchestration of machine settings and cleanroom parameters based on product recipes.

  3. Lab-to-Production Data Silos

    The QC laboratory manages stability studies and raw material checks manually without an integrated LIMS connecting to manufacturing systems, preventing real-time biological KPI visualization and Golden Batch comparison capabilities.

    Implement Lab Digitalization with an Industrial Data Platform connecting laboratory instruments to production systems, enabling automated data capture, real-time analytics, and elimination of manual Excel workflows.

  4. Manual Batch Documentation Risk

    As Qualified Person, batch release depends on manual audit of the "sacred protocol" for every batch, creating regulatory risk for data integrity violations related to non-contemporaneous documentation and inadequate cleaning validation.

    Implement Electronic Batch Records with automated audit trails, moving from retrospective inspection to proactive quality assurance with real-time verification of analyst training, instrument calibration, and process parameters.

  5. Cleanroom Energy Optimization

    The penicillin cleanroom requires strict humidity control below 20% with manual adjustment between different environmental settings, without predictive HVAC management based on production schedules or IoT energy monitoring.

    Implement IT/OT convergence with IoT sensors and smart HVAC systems to optimize energy usage based on real-time machine activity and production schedules, while generating automated CSRD emissions reporting.

What we'd propose

  • Digital CDMO

    Real-Time Customer Intelligence Portal

    Transform the My Lelypharma document repository into a TechBio customer workspace with live stability test telemetry, automated validation status dashboards, and real-time project visibility enabling proactive customer partnership.

    • 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 CDMO

    MTP-Based Changeover Automation

    Retrofit legacy tableting and packaging equipment with Module Type Package compliant interfaces enabling Plug & Produce changeovers, automated recipe management, and orchestration-layer integration for multi-product scheduling.

    • 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

    Integrated Laboratory Execution System

    Deploy a Laboratory Execution System connecting QC instruments to manufacturing systems through secure OT gateways, enabling automated data capture, LIMS integration, and elimination of manual transcription workflows.

    • 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 CDMO

    Electronic Batch Record Platform

    Implement GxP-compliant Electronic Batch Records replacing paper-based production protocols with digital workflows, automated audit trails, and real-time verification of compliance prerequisites.

    • 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
  • Enterprise AI

    Smart Cleanroom Energy Management

    Deploy IoT sensor networks and intelligent HVAC control systems in cleanroom environments to optimize energy consumption based on production schedules while generating automated sustainability reporting.

    • 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 maturity: today and target

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

Source: A4BEE analysis of public sources
Process Automation 35 → 75
Barcode-controlled weighing exists but changeovers and batch documentation remain largely manual with labor-intensive machine adjustments
Data Integration 25 → 80
Siloed data islands between QC lab, production floor, and customer portal with no unified LIMS-to-PLC connectivity
Real-Time Analytics 20 → 70
Customer portal provides document retrieval only; no live telemetry, Golden Batch overlays, or predictive process intelligence
Regulatory Technology 40 → 85
Paper-based sacred protocols create data integrity risk; manual documentation for international market registrations
IoT Infrastructure 30 → 75
Modern machinery exists but lacks connected sensors for predictive maintenance, energy monitoring, or automated environmental control
Knowledge Digitization 25 → 70
Critical production expertise resides in veteran employees as tribal knowledge rather than captured in digital recipes or decision support systems

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 Lelypharma, 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].