Updating the operating model

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.

1. 1

   Fragmented Discovery Data Systems

   Numab's high-throughput discovery engine generates massive data from flow cytometry and NGS platforms that are tracked across disconnected LIMS, ELN, and bioinformatics systems, limiting real-time decision-making during antibody candidate selection.

   Implement a unified data platform with automated pipelines that integrates discovery data streams into a single source of truth, enabling scientists to rapidly compare kappa-capped scaffold variants and select optimal MATCH configurations.

2. 2

   Manual CMC Process Documentation

   DSP technicians at the Wadenswil facility rely on manual documentation for purification process optimization using Design of Experiments, creating data integrity risks and slowing the transition from research to commercial scale.

   Deploy a Laboratory Execution System that automates data capture from AKTA purification systems and UNICORN software, enforcing GxP compliance while accelerating process development timelines.

3. 3

   Disconnected Clinical and Process Data

   Critical quality attributes from clinical batch manufacturing and analytical results exist in separate systems, preventing real-time correlation of production parameters with clinical outcomes during Phase 1/2 trials.

   Create an integrated analytics platform that merges process data with clinical outcomes, enabling rapid identification of manufacturing variables that impact therapeutic efficacy for NM32 and future candidates.

4. 4

   Bioprocess Monitoring and Control Gaps

   Expression and refolding of MATCH molecules in E. coli systems requires precise monitoring of fermentation conditions and refolding parameters, with current systems providing limited real-time visibility into critical process deviations.

   Implement advanced bioprocess monitoring with computer vision and predictive analytics to detect anomalies during fermentation and optimize refolding yields, reducing batch failures and accelerating candidate advancement.

5. 5

   Cross-Functional Collaboration Barriers

   Scientists, DSP technicians, and clinical teams work in silos with limited visibility into each other's data, creating delays in translating discovery insights into clinical candidates and manufacturing processes.

   Deploy collaborative digital workspaces with role-based dashboards that provide cross-functional visibility from discovery through clinical development, enabling faster iteration cycles aligned with the company's entrepreneurial culture.

Check this yourself

Our Service Portal has free self-assessments and market comparisons. These are the ones that line up with what we've read above — no sales call required.

• Self-assessment

  Data & AI Maturity ↗

  See how ready your data actually is for the AI work you're planning.

• Self-assessment

  Find Your LIMS ↗

  Answer a few questions about your lab and get a shortlist of LIMS that fit it.

• Market comparison

  Pharma Data Platform Use Cases — Ranked ↗

  Use cases ranked by how hard they are against what they're worth.

• Market comparison

  Digital Lab: Equipment & Integration Map ↗

  Which lab instruments connect to which systems, and where the gaps usually are.

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• Lab of Tomorrow: We’re at a Turning Point – Is Your Lab on the Right Track?

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