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The Pulse of mcubeTM
Discover What’s New in mcubeTM
Discover What’s New in mcubeTM
May 2025 Edition
AI Agents and Ontologies in Lab Innovation
This month marked a major milestone with CTEC 2025, where mcube™ took center stage – the focus was clear: we’re moving beyond traditional machine learning toward Agentic AI—where intelligent systems understand context, infer intent, and act autonomously on diverse data.

Whether it’s ingesting lab notes in biotech R&D or coordinating real-time responses in manufacturing environments, mcube™ AI agents are already delivering impact—decoding complexity, predicting outcomes, and enabling decisions that are explainable and traceable.

In this issue, we recap our CTEC spotlight sessions on Agentic applications, and introduce a powerful feature in MorpheX that gives ETL developers real-time control over data flows.
Andreas Diggelmann
Chief Product Officer, TCG Digital

Spotlight: AI Agents for the Lab: Powered by Ontologies and Generative AI

Agentic AI isn’t aspirational—it’s already operational with mcube™. Across sectors, from labs to factory floors, specialized AI agents interpret, connect, and act on diverse data. mcube™ fuses generative AI with deterministic knowledge graphs to power decisions that are accurate, explainable, and traceable. In R&D, agents parse everything from structured records to handwritten notes, updating systems or aligning protocols with regulations. While in manufacturing, our agents integrate live sensor feeds, historical logs, and SOPs to predict issues, prescribe actions, and coordinate real-time response. This is AI that works—with insight, context, and accountability.

 

Watch the video from our session at CTEC 2025 to see how mcube™ is powering Agentic AI applications for Labs on the foundation of Ontologies and Generative AI

Industry Insights: Gen-AI for Master Data Creation in LIMS

Reimagine Master Data with AI-Driven Precision

Creating and maintaining master data has traditionally been a slow, error-prone process—but not anymore. With mcube™, AI transforms how organizations handle structured and unstructured inputs. Using multimodal LLMs and GenAI, mcube™ auto-extracts, categorizes, and validates key data—be it products, instruments, or methods—before seamlessly uploading it into your information systems. The result? Up to 10x faster data onboarding, 98% rework reduction, and full traceability. Whether in labs, manufacturing, or enterprise ops, this is MDM that scales with intelligence.

Watch this demonstration.

Pro Tip: Empowering ETL Developers with Dynamic Resource Allocation in MorpheX

One of the standout features of the MorpheX application is its intuitive resource allotment configuration panel, accessible directly from the front end. This powerful capability empowers ETL developers to optimize performance and cost-efficiency by scaling resources up or down based on workload demands, without needing backend intervention.

Whether you’re running lightweight transformations or executing heavy-duty data pipelines, MorpheX allows you to allocate CPU and memory resources on-the-fly to suit the processing intensity. This dynamic resource control ensures that ETL jobs are executed efficiently, reducing processing time during peak loads and conserving infrastructure during lighter workloads.

The front-end configurability not only enhances usability but also eliminates operational bottlenecks, enabling teams to be agile, autonomous, and performance focused. In an era where flexibility and responsiveness define success, MorpheX puts the power back in the hands of developers.

Resources & Support

Explore more about how our customers have used mcube™ to transform their businesses.
Stay tuned for next month’s edition where we explore more powerful features and customer stories. Until then, keep leveraging the power of AI with mcube™!