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 PARTNERSHIP OPPORTUNITY  

 

Maximize uptime, reduce risk at Amgen

Get context related insights for Amgen's facilities powered by cerebre's leading industrial knowledge graphs.

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 PROCESS AND OPERATIONS 

 

Drive safer and more profitable plants by simplifying access to critical information and automating trivial tasks  

cerebre simplifies plant operations and helps to focus critical resources on the highest priority actions across production, energy, environmental, and safety.

icons8-talking What we heard from you

From our recent conversations, we understand that:

  • Unplanned downtime due to equipment failure, human intervention, and inefficient changeovers is a major concern.
  • Critical equipment (e.g., freeze dryers, vacuum pumps) can cause batch loss or quality deviations if not perfectly reliable.
  • Data is fragmented across Maximo (CMMS), P-Historian, IoT devices, process control systems, and document management tools.
  • Investigating non-conformance events (NCs) and preventative maintenance planning is difficult due to a lack of integrated context.
  • There is a significant opportunity to optimize reliability and scale visibility into asset health and process interdependencies.

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icons8-problem Amgen current challenges

Amgen is facing systemic barriers to operational reliability:

  • High-value products at risk from fragile, aging, or hard to monitor equipment.
  • Human interventions in sterile filling and packaging lines introduce variability.
  • Systemic issues like glass breakage, line stoppages, or sensor alarms aren't easily traced to root causes.
  • Knowledge is siloed between Engineering, Ops, and Quality, slowing down resolution.
  • Your current CMMS (Maximo), and IoT systems aren’t contextually connected, making downtime mitigation and planning reactive.
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SymbolWhat cerebre brings to the table

cerebre connects the dots across systems, processes, and people with a semantic, graph-based platform that creates shared understanding and proactive visibility:

  • A unified knowledge graph of your plant: assets, operations, documents, events, and sensors, fully contextualized.
  • Integration across Maximo, SAP EAM, P-Historian, IoT, DeltaV, Viva, and PLM systems.
  • Predictive triggers based on asset health, sensor drift, or weak signals—before they escalate to NCs.
  • Asset-centric views for Maintenance, Engineering, and Quality teams to collaborate using the same operational truth.
  • Foundation for AI agents to proactively reason over data (e.g., “Is there any open work order on this pump showing signs of failure?”)

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Related resources

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No context, no intelligence –
The case for a plant data model

Why AI fails without structure and how a data model gives your plant the context it needs.

Read the article

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Digitizing the plant –  
The cerebre presentation   

See how cerebre helps you transform plant schematics into searchable, smart assets.

View the presentation

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We enable your AI –
An overview document

Learn how PlantGraph powers AI with data that’s contextual, connected, and usable.

Read the document

Example use case for Amgen

Before cerebre

  • A critical freeze dryer’s vacuum pump degrades mid-batch
  • The issue isn’t caught until there’s a product loss
  • Downtime triggers a CAPA investigation, and weeks are lost

After cerebre

  • Pump sensor readings start to drift from baseline
  • cerebre’s knowledge graph flags no active work order
  • System recommends inspection before batch start
  • Maintenance is completed proactively, batch saved

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Let’s co-design a demo

We’d like to show Amgen how cerebre can:

  • Demonstrate a working knowledge graph model of your environment
  • Build a realistic reliability use case from your asset and process landscape

Book the next meeting to explore the platform and see how this could look for Amgen