The Pulse of mcube™ January 2026
January 2026 Edition
Discover What’s New in mcube™
This month, we spotlight the go-live of India’s first LC-MAX® Digital Suite, powered by mcube™, at HPCL’s Visakh Refinery—a key milestone in AI-led downstream refining.
We also invite you to join our upcoming webinar on AI-ready knowledge graphs for pharma and clinical research, followed by a Pro Tip on Custom AI Nodes, illustrating how teams can rapidly extend mcube™ with reusable, enterprise-grade intelligence.
Andreas Diggelmann
Chief Product Officer, TCG Digital
Spotlight: India’s First LC-MAX® Digital Suite Powered by mcube™ Goes Live
Hindustan Petroleum Corporation Limited (HPCL) has successfully commissioned India’s first LC-MAX® residue conversion unit at its Visakh Refinery, supported by an integrated, AI-led intelligence backbone, marking a significant milestone in the evolution of India’s downstream refining sector.
Embedded from the startup phase, the LC-MAX® Digital Suite was fully operational at feed cut-in, enabling production-ready performance from day one. Powered by mcube™, the advanced AI and data platform serves as the secure intelligence backbone, delivering real-time monitoring, predictive analytics, and optimization at scale.
Webinar: Transforming Siloed Data into AI-Ready Knowledge Graphs
January 29 | 10:30 AM EST
Accelerating Pharma R&D and Clinical Timelines with AI-Ready Knowledge Graphs
Pharma organizations generate vast volumes of research and clinical data—much of it fragmented across documents and systems. In this live webinar, learn how knowledge-graph–powered semantic platforms, built on mcube™, transform disconnected data into FAIR, AI-ready intelligence, reducing R&D and clinical timelines by up to 50%.
In the demo, you’ll see how to:
- Convert research documents into connected, traceable scientific knowledge
- Unify clinical metadata for analysis-ready, CDISC-compliant insights
- Navigate cross-study insights across trials, drugs, and biomarkers
Pro Tip: Custom AI Nodes — Extend and Accelerate Intelligence in mcube™
Custom AI Nodes enable teams to extend mcube™ with reusable, business-specific logic that behaves like native capabilities. Build once, reuse across projects—reducing development time while improving quality and consistency.
By creating a shared catalog of high-value components such as ETL steps, feature transformations, and model-scoring routines, organizations can standardize AI development and scale intelligence enterprise-wide.
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