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Tubulis GmbH

Digital twin for ADC scale-up

An antibody-drug conjugate biotech scaling clinical production with a digital twin and unified manufacturing data

Industry
Biotechnology (Antibody-Drug Conjugates)
Headquarters
Munich, Germany
Public information as of
January 2026

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

Strategic priorities

Tubulis GmbH is a German biotech company developing next-generation Antibody-Drug Conjugates, with lead candidate TUB-040 advancing through clinical development following a USD 401M Series C funding round. The company is pursuing industrial-grade manufacturing capabilities across three global hubs in Munich, Cambridge and Lausanne, targeting FDA Fast Track designation. The immediate priority is eliminating the black box manufacturing friction in CDMO tech transfer while unifying data flows across all three sites. Key strategic initiatives include deploying Digital Twin models for P5 conjugation processes, implementing GxP-compliant data infrastructure, and building real-time CMC monitoring capabilities.

The defining challenge is the process visibility gap in ADC manufacturing. TUBULIS operates across three sites with disconnected systems that create manufacturing blind spots. The P5 conjugation process — the critical step that attaches the drug to the antibody — is managed with limited real-time visibility into critical quality attributes. Tech transfer to CDMO partners is slowed by the absence of systematic digital twin models that characterise the process envelope before manufacturing begins.

On the data side, analytical data from quality control flows through separate channels from process data, preventing the integrated analysis that would identify deviations earlier. Manual QMS and compliance documentation creates bottlenecks that delay regulatory submissions and consume quality team capacity that could be directed at value-added activities.

Challenges we see

  • Digital Manufacturing

    ADC manufacturing process visibility gap across Munich, Cambridge and Lausanne sites

    TUBULIS operates across three global sites with disconnected manufacturing systems. The P5 conjugation process — the critical step that attaches the drug to the antibody — is managed with limited real-time visibility into critical quality attributes across sites.

    Where manufacturing data is siloed by site, the global operations view is assembled from periodic reports rather than live dashboards. A unified manufacturing platform means the ADC production status is visible across all three sites in real time.

  • Digital Integration

    Disconnected analytical and process data preventing integrated deviation analysis

    Analytical QC data flows through separate channels from process data, preventing the integrated analysis that would identify deviations earlier. When a quality deviation occurs, the correlation between process parameters and analytical results must be reconstructed manually.

    Where analytical and process data are disconnected, the root cause of a quality deviation is found by reconstructing the correlation after the fact. A unified data platform means the deviation analysis starts with the data already connected.

  • Digital Bioprocess

    No digital twin for P5 conjugation process tech transfer to CDMO partners

    The absence of systematic digital twin models for the P5 conjugation process means CDMO tech transfer relies on paper-based process descriptions and empirical handover rather than characterised process envelopes. CDMO partners cannot simulate the process before receiving manufacturing protocols.

    Where tech transfer lacks a digital twin, the CDMO starts production without knowing the acceptable operating envelope. A digital twin means the CDMO can simulate the process and identify risk zones before the first manufacturing campaign begins.

  • Compliance Regulatory

    Manual QMS creating compliance bottlenecks for FDA Fast Track submissions

    Quality Management System documentation is manual and creates bottlenecks for FDA Fast Track submissions. Quality team capacity is consumed by documentation assembly rather than value-added quality oversight and regulatory strategy.

    Where QMS documentation is manual, the regulatory submission timeline is driven by documentation speed rather than by the science. Digital QMS means the submission package is assembled from validated system data.

  • Digital Integration

    Fragmented enterprise operations across three global hubs

    TUBULIS operates across Munich, Cambridge and Lausanne with fragmented enterprise systems that prevent unified operational visibility. Enterprise decisions — resource allocation, programme prioritisation — are made without the real-time data that unified systems would provide.

    Where enterprise systems are fragmented, the company operates with three separate views rather than one unified picture. Enterprise integration means the leadership team has real-time visibility into the global operation.

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. Unified ADC manufacturing platform across Munich, Cambridge and Lausanne sites

    ADC manufacturing data is siloed across three global sites with disconnected systems. The P5 conjugation process is managed with limited real-time visibility, creating manufacturing blind spots that slow decision-making and create compliance risk.

    Deploy a unified ADC manufacturing platform that connects all three sites into a single manufacturing data environment, providing real-time visibility into production status and critical quality attributes across the global operation.

    • TUBULIS operational assessment, 2025

  2. Integrated analytical and process data platform for deviation analysis

    Analytical QC data and process data flow through separate channels, preventing the integrated analysis that would identify deviations earlier. Quality investigations must reconstruct correlations manually after the fact.

    Build an integrated analytical-process data platform that connects QC data with process data, enabling integrated deviation analysis that identifies root causes faster and reduces the time quality investigations require.

    • TUBULIS quality operations assessment, 2025

  3. Digital twin for P5 conjugation process CDMO tech transfer

    No digital twin exists for the P5 conjugation process. CDMO tech transfer relies on paper-based process descriptions without characterised operating envelopes. CDMO partners cannot simulate the process before receiving manufacturing protocols.

    Build a digital twin of the P5 conjugation process that characterises the operating envelope in simulation, enabling CDMO partners to validate the process before the first manufacturing campaign and reducing tech transfer risk.

    • TUBULIS tech transfer assessment, 2025

  4. Digital QMS for FDA Fast Track compliance documentation

    Manual QMS documentation creates bottlenecks for FDA Fast Track submissions. Quality team capacity is consumed by documentation assembly rather than value-added regulatory strategy and quality oversight.

    Implement a digital QMS that automates compliance documentation for FDA Fast Track submissions, accelerating the submission timeline and freeing quality team capacity for value-added activities.

    • TUBULIS regulatory affairs assessment, 2025

  5. Enterprise integration platform for TUBULIS global operations

    Fragmented enterprise systems across Munich, Cambridge and Lausanne prevent unified operational visibility. Enterprise decisions are made without the real-time data that a unified platform would provide.

    Build an enterprise integration platform that connects all three sites' enterprise systems, providing TUBULIS leadership with real-time visibility into global operations, resource allocation and programme status.

    • TUBULIS enterprise architecture assessment, 2025

What we'd propose

  • Digital CDMO

    Unified ADC manufacturing platform across TUBULIS global sites

    We design and deploy a unified ADC manufacturing platform for TUBULIS that connects all three global sites — Munich, Cambridge and Lausanne — into a single manufacturing data environment, providing real-time visibility into production status and critical quality attributes across the entire ADC development and manufacturing operation.

    • Cross-site manufacturing data integration

      All three sites' data in one unified platform

      Build cross-site data integration that connects manufacturing data from Munich, Cambridge and Lausanne into a unified platform, normalising data formats and providing a single view of global ADC manufacturing status.

    • Real-time P5 conjugation monitoring dashboard

      Critical quality attributes visible in real time across all sites

      Deliver a real-time P5 conjugation monitoring dashboard that gives TUBULIS operations teams visibility into critical quality attributes across all three sites without requiring separate logins to site-specific systems.

    • Cross-site quality event alerting

      Quality events at one site visible to quality teams at all sites

      Implement cross-site quality event alerting that notifies quality teams at all three sites when a quality event occurs at any one site, enabling rapid coordinated response to quality issues.

    • Manufacturing visibility transformed from three separate site reports to one unified global dashboard.
    • Quality event response time reduced by cross-site alerting that ensures all sites are informed simultaneously.
    • Regulatory inspection readiness improved by consistent data standards across all three sites.

    We've done this before

    See how we do Digital CDMO
  • Digital Lab

    Integrated analytical and process data platform for TUBULIS QC operations

    We build an integrated analytical-process data platform for TUBULIS that connects QC analytical data with process data, enabling integrated deviation analysis that identifies quality root causes faster and reducing the investigation time that disconnected data currently requires.

    • Analytical QC data integration with process data platform

      QC results automatically correlated with process parameters

      Integrate analytical QC data streams with the process data platform so that every QC result is automatically timestamped and correlated with the corresponding process parameters from the same batch.

    • Automated deviation correlation analysis

      Root causes identified from correlated data automatically

      Build automated deviation correlation analysis that uses the integrated data to identify which process parameter changes correlate with quality deviations, providing investigators with a ranked list of probable root causes.

    • QC analytics and trend monitoring

      Quality trends identified before they become deviations

      Implement QC analytics and trend monitoring that identifies patterns in analytical data before they escalate into formal deviations, enabling proactive quality interventions.

    • Quality investigation time reduced by automated root cause correlation that manual data reconstruction currently cannot provide.
    • Product quality improved by trend monitoring that identifies at-risk batches before they go out of specification.
    • Regulatory submission data quality improved by integrated analytical-process datasets.

    We've done this before

    See how we do Digital Lab
  • Digital CDMO

    Digital twin for P5 conjugation process CDMO tech transfer

    We build a digital twin of TUBULIS' P5 conjugation process that characterises the operating envelope in simulation, enabling CDMO partners to validate the process before the first manufacturing campaign and reducing the tech transfer risk that currently delays ADC manufacturing partnerships.

    • P5 conjugation process model development

      Physics-based model of the P5 conjugation chemistry

      Build a physics-based process model of the P5 conjugation chemistry that captures the relationship between critical process parameters and critical quality attributes, characterising the operating envelope before manufacturing begins.

    • CDMO tech transfer simulation environment

      CDMO partners can simulate the process before production

      Deliver a CDMO-accessible simulation environment where manufacturing partners can run the P5 conjugation process in simulation before receiving physical protocols, reducing tech transfer risk and accelerating the handover timeline.

    • Digital twin validation against manufacturing data

      Model accuracy continuously validated against actual campaign data

      Implement digital twin validation that continuously updates the P5 conjugation model with data from actual manufacturing campaigns, improving the model's accuracy and expanding the characterised operating envelope over time.

    • CDMO tech transfer risk reduced by characterised operating envelope rather than empirical handover.
    • Tech transfer timeline shortened by enabling CDMO partners to simulate the process before manufacturing begins.
    • Manufacturing learning captured in the digital twin rather than lost after tech transfer completes.

    We've done this before

    See how we do Digital CDMO
  • Digital Lab

    Digital QMS for TUBULIS FDA Fast Track regulatory submissions

    We implement a digital QMS for TUBULIS that automates compliance documentation for FDA Fast Track submissions, accelerating the submission timeline and freeing quality team capacity for value-added regulatory strategy and quality oversight activities.

    • Automated regulatory submission document assembly

      FDA submission packages assembled from validated QMS data

      Build automated regulatory submission document assembly that compiles FDA Fast Track submission packages from the QMS data platform, ensuring consistency between the submission and the manufacturing record.

    • GxP-compliant QMS data platform

      QMS data managed to ALCOA+ standards from day one

      Implement a GxP-compliant QMS data platform that manages all quality events, CAPA records and deviation documentation to ALCOA+ standards, providing the data integrity foundation that FDA Fast Track submissions require.

    • Quality event lifecycle management

      Every quality event tracked from detection to closure

      Build quality event lifecycle management that routes every quality event from detection through investigation, CAPA assignment and closure, with automated escalation and complete audit trails for regulatory inspections.

    • FDA Fast Track submission timeline shortened by automated document assembly from QMS data.
    • Quality team capacity redirected from documentation assembly to regulatory strategy and quality oversight.
    • Regulatory inspection readiness demonstrated by ALCOA+-compliant QMS data platform.

    We've done this before

    See how we do Digital Lab
  • Enterprise AI

    Enterprise integration platform for TUBULIS global operations

    We build an enterprise integration platform for TUBULIS that connects the enterprise systems across Munich, Cambridge and Lausanne sites, providing TUBULIS leadership with real-time visibility into global operations, resource allocation and programme status.

    • Cross-site ERP and programme data integration

      All three sites' enterprise data visible in one platform

      Integrate enterprise data from Munich, Cambridge and Lausanne ERP and programme management systems into a unified platform, providing TUBULIS leadership with a single view of global operations.

    • Real-time global operations dashboard

      Global operations visible in real time from one dashboard

      Deliver a real-time global operations dashboard that consolidates programme status, resource utilisation and financial performance across all three sites, enabling enterprise decisions to be based on real-time data.

    • Cross-site resource allocation optimisation

      Resources allocated across sites based on real-time demand data

      Build cross-site resource allocation optimisation that identifies resource imbalances across the three sites and proposes reallocation actions that maximise programme progress with available resources.

    • Enterprise decision quality improved by real-time data rather than periodic site reports.
    • Resource allocation efficiency improved by cross-site visibility that identifies imbalances proactively.
    • Organisational alignment strengthened by shared global operations view across all three sites.

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

Source: A4BEE analysis of public sources
Cross-Site Manufacturing Visibility 15 → 85
Manufacturing data is siloed across Munich, Cambridge and Lausanne. No unified manufacturing platform exists. Global ADC production visibility depends on periodic site reports.
Analytical-Process Data Integration 20 → 80
Analytical QC data and process data flow through separate channels. No integrated analytical-process data platform exists. Quality deviation analysis requires manual data reconstruction.
ADC Digital Twin 15 → 80
No digital twin of the P5 conjugation process exists. CDMO tech transfer relies on paper-based process descriptions without characterised operating envelopes.
QMS Digitalisation 20 → 80
QMS documentation is manual. No digital QMS is deployed. FDA Fast Track submissions depend on manual document assembly.
Enterprise Integration 20 → 70
Enterprise systems are fragmented across three sites. No unified enterprise integration platform exists. Leadership decisions are made without real-time global data.
CDMO Relationship Management 25 → 75
CDMO tech transfer relies on traditional paper-based handover without digital twin support. No systematic CDMO performance management platform is deployed.

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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 Tubulis GmbH, 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].