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:
Two live demos, one platform: see how mcube™ 5.5 turns fragmented data into decisive action — for R&D teams and for Asset & Reliability teams.
Thursday, 24 September 2026 | 10:00 – 10:45 AM ET
Join Us
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. This demo shows a different way: data pulled together automatically, and a structured report drafted with minimal manual effort.
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.
Deployed 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.
See how governed, Agentic AI turns fragmented oil labs, DGA ratios, and SCADA logs into real-time execution.
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.
UPCOMING EXECUTIVE WEBINAR
Agentic AI in Action: 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.
Stop unscheduled outages before they hit your bottom line. See how governed, Agentic AI turns fragmented oil labs, DGA ratios, and SCADA logs into real-time execution.
Experience mcube™ 5.5 live to witness how Agentic AI moves from experimentation to execution.
Plant leaders must identify
Which asset is about to fail?
Why is it failing?
What exact action do we take right now?
Live Proof in Action:
Deployed Agentic Analytics at Haldia Petrochemicals
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