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Famar

Building the Facility of the Future

A pharmaceutical CDMO retrofitting legacy systems with IT/OT integration and ESG data infrastructure

Industry
Pharmaceutical CDMO
Headquarters
Athens, Greece
Public information as of
January 2026

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

Strategic priorities

Famar is a European pharmaceutical CDMO headquartered in Athens, Greece, operating 17 manufacturing and R&D sites across Europe. The company is executing an aggressive expansion strategy backed by MidEuropa and EBRD funding exceeding EUR 29 million, including the May 2025 acquisition of the Homburg sterile manufacturing site from MiP Pharma. Famar serves more than 80 international markets and manufactures sterile, aseptic, and lyophilised fill-and-finish products across sites in Greece, Spain, Italy, and Germany. The portfolio was assembled through acquisitions from Pfizer, Sanofi, and GSK, creating a patchwork of legacy systems and proprietary protocols.

The Facility of the Future ambition requires a data foundation that does not yet exist. The legacy Greek sites run 1980s and 1990s equipment — including a 1985 fluid bed dryer and a 1993 liquid fill line — alongside 200-300 siloed software systems from multiple corporate acquisitions. Connecting that heterogeneous equipment and software landscape to a unified data platform is the prerequisite for predictive maintenance, paperless processing, and AI-driven energy optimisation. Without that foundation, every other initiative is built on sand.

The Homburg acquisition is the integration template. Integrating the newly acquired Homburg site into the central ecosystem is the moment to establish the standards — the data architecture, the protocols, the ontologies — that will apply to every future acquisition. If that integration creates another data island, the Northern European expansion strategy is compromised from the start.

Challenges we see

  • Operations Manufacturing

    Run-to-failure maintenance on 30-year-old production equipment

    Famar operates 1980s and 1990s-era equipment including a 1985 fluid bed dryer and a 1993 liquid fill line that lack sensors for predictive maintenance and rely on undocumented tribal knowledge from retiring operators.

    Where equipment is maintained only after it fails, each failure costs the full amount of unplanned downtime, lost materials, and disrupted schedules. Adding sensors and connectivity to legacy equipment means failures are anticipated rather than reacted to, and the maintenance window is planned rather than imposed by the machine.

  • Digital Integration

    200-300 siloed software systems blocking the Facility of the Future

    The company's history of acquiring plants from Pfizer, Sanofi, and GSK has created a patchwork of siloed software systems using proprietary protocols that prevent real-time OEE tracking and unified quality management across the 17-site network.

    Where each acquired site maintains its own software systems in its own format, the data that should inform enterprise decisions is locked inside each site's infrastructure. A unified data platform with standard ontologies means the data from every site is available to every analytics tool without custom integration work for each new site.

  • Operations Operations

    Undocumented operator knowledge walking out the door

    71% of Greek firms report difficulty finding personnel. Senior operators approaching retirement hold undocumented sixth-sense expertise on legacy pneumatic systems, and only 43% of R&D staff have the digital expertise the Facility of the Future requires.

    Where expertise lives in people's memories rather than in systems, it leaves when people do. A digital knowledge capture platform that records how experienced operators diagnose and respond to equipment behaviour means that expertise is available to the next generation of operators even after the originals have left.

  • Compliance Regulatory

    Manual documentation creating data integrity risk in FDA inspections

    FDA warning letters increased 73% in 2025 with data integrity and ALCOA+ principles under heightened scrutiny. Manual non-contemporaneous documentation practices remain prevalent at older Famar sites serving 80+ international markets.

    Where documentation is written after the fact and on paper, the record does not speak for itself during an inspection. Electronic records that are captured at the time and by the system mean the audit trail is contemporaneous and tamper-evident by design.

  • Digital Integration

    Homburg integration setting the template for future acquisitions

    The May 2025 acquisition of the Homburg sterile site brings 100 skilled employees and advanced infrastructure that must be integrated into Famar's existing IT/OT ecosystem without creating another data island that undermines the Northern European expansion strategy.

    Where a new acquisition is integrated using the same standards as every other site, the integration work is done once. Where each acquisition is integrated differently, the technical debt compounds with every deal.

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. Retrofitting legacy production equipment with IoT connectivity

    Famar's Greek and Spanish sites contain 30-plus-year-old equipment using proprietary protocols and lacking modern sensors, creating blind spots in production monitoring and preventing predictive maintenance on assets that are critical to 80-plus market supply.

    Retrofit legacy PLC and SCADA systems with IoT gateways and secure OPC UA connectivity to transform orphaned assets into smart, connected tools without full equipment replacement, enabling real-time monitoring and predictive maintenance.

    • Famar Strategic Analysis Report, 2025

  2. Replacing paper quality records with electronic batch records

    Reliance on manual data entry in labs and production floors increases human error probability, creates non-contemporaneous records, and makes audit trail reconstruction difficult during EMA, FDA, and ANVISA regulatory inspections.

    Implement GAMP 5-compliant electronic quality management systems that ensure ALCOA+ compliance, automated audit trails, and real-time data capture, replacing paper logbooks with electronic records that are audit-ready by design.

    • Famar Strategic Analysis Report, 2025
    • FDA 2025 data integrity warning letter trends

  3. Capturing undocumented operator knowledge before it leaves

    Veteran operators approaching retirement hold undocumented sixth-sense expertise on legacy pneumatic systems, and only 43% of R&D staff have required digital expertise, creating critical capability gaps as the Facility of the Future programme scales.

    Deploy AR/VR training platforms and digital work instructions that capture tacit knowledge from experienced operators and accelerate onboarding for new staff across complex multi-site environments.

    • Famar Strategic Analysis Report, 2025

  4. Building a unified data platform across 17 sites

    Data trapped in siloed systems across Greece, Spain, Italy, and Germany prevents unified quality management, real-time production visibility, and centralised decision-making required for the Facility of the Future.

    Build an ontology-based Industrial Data Platform with automated pipelines that unify information from diverse legacy systems into a single source of truth for enterprise-wide analytics and AI applications.

    • Famar Strategic Analysis Report, 2025

  5. Building the ESG data foundation for EcoVadis Gold

    Achieving 30% CO2 reduction by 2030 and EcoVadis Gold certification requires granular process-level energy data that legacy systems cannot provide, while high water and energy waste threatens sustainability targets.

    Implement AI-driven energy optimisation that leverages real-time process data to identify efficiency improvements, reduce waste, and generate auditable sustainability metrics for ESG reporting and EcoVadis certification.

    • Famar Strategic Analysis Report, 2025

What we'd propose

  • Digital CDMO

    IoT gateway retrofitting for legacy production equipment

    We retrofit 1980s and 1990s-era production equipment — including the 1985 fluid bed dryer and 1993 liquid fill line — with secure IoT gateways and OPC UA connectivity, transforming run-to-failure assets into monitored, predictive-maintenance-ready equipment without full replacement.

    • Legacy PLC and SCADA connectivity

      30-year-old equipment speaking OPC UA

      Deploy secure IoT gateways that translate proprietary PLC protocols from legacy equipment into OPC UA, so that the equipment is visible to the monitoring platform without requiring firmware changes or equipment replacement.

    • Sensor retrofit and monitoring

      Adding the sensing layer that the equipment lacks

      Install additional sensors — temperature, vibration, cycle count — on critical legacy assets that currently have no instrumentation, providing the data inputs that predictive maintenance models require.

    • Predictive maintenance integration

      Failures anticipated rather than reacted to

      Integrate sensor data with predictive maintenance analytics that alert maintenance teams to emerging failure conditions before they cause unplanned downtime, so that the maintenance window is planned rather than imposed by the machine.

    • Unplanned downtime on critical assets drops because failures are anticipated.
    • The 1985 fluid bed dryer and other orphaned assets are brought into the monitoring fold without vendor support.
    • Maintenance costs shift from reactive to planned, reducing total maintenance spend.

    We've done this before

    See how we do Digital CDMO
  • Digital Lab

    GAMP 5-compliant electronic quality management system

    We deploy an electronic quality management platform that replaces paper logbooks and manual batch records with automated, ALCOA+-compliant electronic records, ensuring that Famar's regulatory submissions are supported by contemporaneous data rather than reconstructed from memory.

    • Electronic batch records for fill-and-finish

      Paperless batch records that are audit-ready by design

      Implement electronic batch records that capture production data at source from connected equipment, replacing handwritten logbooks with contemporaneous electronic records that include identity, method version, and timestamp.

    • ALCOA+ data integrity enforcement

      Records that demonstrate compliance rather than require it

      Configure the eQMS to enforce ALCOA+ principles — attributable, legible, contemporaneous, original, accurate — through electronic signatures, audit trails, and user access controls that make compliance a property of the system rather than a manual effort.

    • Multi-site eQMS rollout

      One quality standard across 17 sites

      Deploy the eQMS across the 17-site network with site-level configuration for local regulatory requirements, so that the quality team at each site works in the same system with the same standards.

    • FDA, EMA, and ANVISA inspections are supported by contemporaneous records rather than reconstructed ones.
    • The effort to prepare for an inspection shifts from document retrieval to report generation.
    • One quality standard across 17 sites means a finding at one site is visible to all sites immediately.

    We've done this before

    See how we do Digital Lab
  • Digital CDMO

    AR/VR knowledge capture platform for multi-site operations

    We implement an immersive knowledge capture platform that records the tacit expertise of veteran operators, delivers standardised training to new hires, and enables remote expert guidance through assisted reality — ensuring the Facility of the Future has the workforce it requires.

    • Operator knowledge recording

      Capturing what the veterans know before they leave

      Record experienced operators performing complex diagnostic and operational procedures using screen capture and wearable video, annotating decision points to create a searchable knowledge library that survives staff turnover.

    • VR training for complex procedures

      New hires practising on virtual equipment before the real thing

      Build virtual replicas of critical legacy equipment — including the pneumatic systems that only a few veterans fully understand — where new operators can practise without risking the actual machine.

    • Assisted reality remote guidance

      Expert eyes available at any site without travelling

      Deploy assisted reality glasses that let a site engineer share their field of view with a remote expert in real time, so that troubleshooting support is available without waiting for someone to travel.

    • Tacit knowledge that currently leaves with retirees becomes an institutional asset.
    • New operators reach competency faster because they can practise virtually before touching real equipment.
    • Remote expert guidance reduces the cost and delay of waiting for specialist travel.

    We've done this before

    See how we do Digital CDMO
  • Enterprise AI

    Ontology-based Industrial Data Platform across 17 sites

    We build an ontology-based data infrastructure with automated pipelines that unify fragmented systems across all Famar sites into a single source of truth for enterprise analytics, enabling real-time OEE visibility and providing the foundation for every AI application.

    • Legacy system data connectors

      Connecting 200-300 siloed systems without replacing them

      Build connectors that ingest data from the diverse legacy systems — SAP, legacy ERPs, proprietary SCADA — and translate them into a common ontology, so that the data is available to analytics tools without requiring a full ERP replacement.

    • Site-level and enterprise-level dashboards

      OEE visible at the machine, the site, and the group level

      Deliver dashboards that show OEE, batch status, and quality metrics at the machine level, the site level, and the enterprise level, so that every stakeholder sees the information relevant to their decision scope.

    • Homburg integration as the template

      Setting the standard once, applying it to every future acquisition

      Use the Homburg integration as the reference implementation for the data platform, establishing the connectors, ontologies, and governance that will apply to every future acquisition so that new sites are integrated in weeks rather than months.

    • The Facility of the Future has a data foundation to run on rather than a strategic statement.
    • Every future acquisition is integrated faster because the template already exists.
    • Enterprise analytics and AI applications draw from the same data platform rather than building their own pipelines.

    We've done this before

    See how we do Enterprise AI
  • Enterprise AI

    AI energy optimisation for the 30% CO2 reduction target

    We deploy machine learning models that analyse real-time process data from connected equipment to identify energy efficiency improvements, optimise utility consumption, and generate auditable sustainability metrics for EcoVadis Gold certification and CSRD reporting.

    • Process-level energy metering

      Energy consumption visible at the batch level

      Deploy sub-metering on major energy consumers — compressors, dryers, lyophilisors — so that energy consumption is attributable to specific products and batches rather than estimated from site-level utility bills.

    • AI-driven efficiency recommendations

      Operating conditions tuned by the model

      Train machine learning models on historical process data to identify operating conditions that reduce energy per unit of output, feeding recommended setpoints to operators so that the most energy-efficient conditions are used on every run.

    • Automated ESG reporting

      EcoVadis and CSRD disclosures produced by the platform

      Generate automated sustainability reports that compute Scope 1 and 2 emissions from metered energy data, producing EcoVadis questionnaire responses and CSRD disclosures directly from the measurement system.

    • The 30% CO2 reduction target is trackable per site and per batch rather than estimated annually.
    • Energy efficiency improvements are identified automatically rather than requiring a dedicated engineering study.
    • EcoVadis Gold certification is supported by auditable data rather than modelled estimates.

    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 Famar's own published ambition implies — not a perfect score.

Source: A4BEE analysis of public sources
IT/OT Integration 35 → 80
200-300 siloed software systems from multiple acquisitions prevent any unified view of production across the 17-site network. The OPC UA gateway layer is the foundation for every other digital ambition.
Data Infrastructure 30 → 85
Legacy equipment from the 1980s and 1990s lacks the sensor data that modern analytics requires. Retrofitting connectivity and sensors is what makes the Facility of the Future data platform legible to the plant floor.
Process Automation 45 → 75
Paper-based batch records and manual logbooks create a ceiling on how fast quality information moves. Electronic records eliminate the lag between what happened and what is recorded.
Workforce Digital Capability 40 → 70
Only 43% of R&D staff have the digital expertise the Facility of the Future requires. The knowledge transfer platform is what closes that gap before the retirement wave accelerates.
Regulatory Compliance Systems 50 → 85
FDA warning letters increased 73% in 2025 with data integrity as the primary focus. ALCOA+-compliant electronic records are what make regulatory inspections survivable as a matter of system design.
Sustainability Analytics 35 → 75
The 30% CO2 reduction target and EcoVadis Gold ambition require granular energy data that site-level utility meters cannot provide. Per-batch energy metering is what makes the ESG commitment measurable.

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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 Famar, 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].