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mcube™ 5.5 Release Webinar | Govern, Orchestrate & Scale Agentic AI

Industrial operations are entering a new phase, where control systems not only respond but learn, adapt, and optimize in real time.

August 27, 2026

Agentic AI in Action:

Watch two enterprise Agentic AI demonstrations and see how mcube™ 5.5 turns fragmented data into decisive action across scientific R&D and asset reliability.

  • Thursday, 24 September 2026 | 10:00 – 10:45 AM ET

One 45-minute session, two real-world scenarios.

01

For R&D & Scientific Teams

From Scattered Lab Data to a Finished Report

Critical experimental knowledge often sits fragmented across ELNs, documents, presentations, spreadsheets, and structured data files — molecular structures, spectra, formulations, or test results. Before a major milestone, researchers still have to reconstruct experiment or formulation workflows and reconcile results manually — time pulled away from the next experiment. The demonstration shows a different approach: bringing fragmented scientific data together and producing a structured, traceable report with minimal manual effort.

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Proof in Action:

AI-Powered Report Generation for R&D

+90%

Reduction in Report Generation Time

+80%

Reduction in Effort & Cost

+95%

Reduction in Manual Errors
  • Instant ingestion
    Text, tables, PDFs, and structured data — molecular files, spectra, or formulation records — pulled directly from ELNs, documents, and presentations.
  • Connected context
    Experiment steps, results, and underlying scientific logic kept in order, automatically.
  • Automated drafting
    A structured, traceable report assembled from that data — pathways, formulations, results, and recommendations included.

02

For Asset & Reliability Teams

Predicting Critical Asset Failure Before It Hits Your Bottom Line

When millions in operating margin hang in the balance, answering questions isn’t enough — you need an operational decision engine to prevent risk.

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Proof in Action:

Agentic Analytics at Haldia Petrochemicals

70+

Critical Transformers Protected

~27 years

Average Asset Age

33 kV and 6.6 kV

Networks Covered
  • Stop unscheduled outages before they hit your bottom line.
    The demonstration shows how governed Agentic AI brings together oil-lab results, DGA ratios and SCADA data to identify emerging risks and support earlier intervention.
  • Instant Critical Asset Visibility
    Monitor real-time asset portfolio health over manual unit audits.
  • Hidden Risk Detection
    Correlate DGA, oil, furan, and SCADA data to spot compound threats.
  • Root-Cause Isolation
    Pinpoint the exact physical factors driving risk scores.
  • Physics-Grounded Trust
    Trace insights to raw telemetry and rules like Duval Triangles.
  • Preemptive Action
    Resolve anomalies instantly before equipment trips.

Watch the Demonstrations

Keynote Speaker

Debdas Sen

CEO, TCG Digital

Speaker

Andreas Diggelmann

Chief Product Officer,
TCG Digital

Ashutosh Ranjan

Head, Data Science Competency,
TCG Digital

Panchali Roychoudhury

Senior Director Consulting,
TCG Digital

Ishita Sharan

Product Management Leader,
TCG Digital

Watch the complete webinar to explore both demonstrations and the enterprise capabilities introduced with mcube™ 5.5.