Others

Executive Gala Roadshow

Infrastructure for Intelligence 2026

From Volatility to Value, powered by mcube™

23 November
2026

2:30 PM
onwards

The Leela Ambience, Gurugram

Join Us

ABOUT THE EVENT

Global volatility and the industrial imperative

An invitation-only evening for senior decision-makers across India’s energy and process manufacturing industries. Last year’s flagship summit made the case for industrial intelligence. This year we return to what comes next: how intelligent infrastructure changes the economics of every asset it touches, and of the enterprise it runs across.

Industry leaders represented

  • Tata Steel
  • IOCL
  • ONGC
  • BPCL
  • HPCL
  • Reliance
  • GAIL
  • BASF
  • EIL
  • HMEL
  • L&T Hydrocarbon
  • NFL
  • RCF
  • SRF Limited
  • Adani
  • Deepak Nitrite
  • Atul Ltd.

Session themes

  • Margin and the physics of profit
  • The next generation of plants has to be born digital
  • Can AI save institutional knowledge before it walks out the door?
  • India's agentic future for a Viksit Bharat
  • Unearthing supply chain margin
  • Production-grade AI

Industry panels:

  • The Autonomous Refinery
  • AI and a future-ready specialty chemicals industry
  • Insulating steel from the next down-cycle

Agenda

2:30 PMWelcome speech
2:35 PMMargin Engineered: Margin, Reliability & the Physics of Profit for Enterprises Fully Integrating AI
2:50 PMTomorrow's Refinery in an AI World: Why the Next Generation of Plants Has to Be Born Digital
3:05 PMUnearthing Value Through Intelligent Supply Chain Networks
3:20 PMAI Adoption: How to Go from Pilot to Platform
3:35 PMDecoding Exploratory Data: AI-Driven Seismic Interpretation Compressing Exploration Timelines
3:50 PMThe Transformative Power of the AI-Native Enterprise
4:15 PMChief Guest speech
4:30 PMCoffee break
4:50 PMPanel: How Industrial AI Is Transforming the Process Industry
5:30 PMFireside chat: The Margin Is in the Milliseconds – The Self-Adjusting Plant
5:45 PMAn Agentic World in India's Journey to Viksit Bharat
6:25 PMPanel: Closing the Gap Between AI PoC and Production
7:05 PMClosing
7:10 PMNetworking & cocktail dinner
The Pulse of mcube™

Discover What’s New in mcube™

September 2026 Edition

Welcome to the mcube™ Monthly Newsletter, featuring mcube™ 5.5 in action, the latest platform overview, and new resources from across the mcube™ ecosystem.

Editorial

The conversation around Agentic AI is changing. Enterprises are no longer looking only at what individual models or agents can do. The more important question is how these capabilities can operate within the controls, context, and processes of the enterprise.

mcube™ 5.5 has been developed with this requirement in mind. The release advances the platform across governance, multi-agent orchestration, agent lifecycle management, semantic context, data engineering, and application development. At the center is the new Agentic Plane, providing governed access to approved models, agents, and tools.

Our September edition looks at the release through the applications demonstrated during the mcube™ 5.5 Launch Webinar, and the mcube™ 5.5 brochure, which provides a consolidated view of the platform and its architecture.

Andreas Diggelmann
Chief Product Officer, TCG Digital

Spotlight: Agentic AI in Action | Two Live Demos, Two Industries, One Platform

The mcube™ 5.5 Launch Webinar showed what enterprise Agentic AI looks like when applied to high-value, complex workflows.

01. Predict failure before it becomes downtime.

For critical industrial power transformers, mcube™ connected diagnostic reports, live operational data, and maintenance history to surface emerging risk, explain what was driving it, and guide the next action.

02. Turn fragmented R&D knowledge into contextualized scientific reports.

For R&D, specialized agents worked with a semantic knowledge layer to extract and connect scientific information and generate contextualized reports, reducing report-generation time and effort by 90%+ in the demonstrated use case.

24 September 2026 | 10:00–10:45 AM ET

Both demonstrations put the core priorities into practice: governance, orchestration, and enterprise scale.

Brochure | Inside mcube™ 5.5 | From Platform to Real-World Applications

What does it take to move Agentic AI from individual use cases to real enterprise operations?

The mcube™ 5.5 brochure gives a clear view of how the platform connects enterprise data, business context and AI, with the governance and orchestration needed to put agents to work across complex workflows.

Beyond the technology, see how these capabilities come together across plant operations and maintenance, petrochemical R&D, and airline disruption management, with practical examples of how mcube™ is applied to industry challenges.

Pro Tip: Blueprint Your Construction Data Model Graphically

Discover how to use the SemantX Data Model Graph to visually map your business ontology; no coding required.

With the Data Model Graph, you can build your model directly on the canvas. Simply right-click to create Element Types such as Project (e.g., Offshore Wind Farm) or Risk, then connect them by drawing Relation Classes such as Equipment failure risk delays turbine delivery.

The Data Model Graph is more than a static diagram. It is an interactive modelling environment where you can create objects, drag them into position, connect them, and edit them directly on the canvas.

Once your business data model is established, corporate engineering data can be imported and transformed into a semantic layer. This provides the foundation for agentic AI to perform value-adding tasks, from monitoring project risks and tracking emissions to certifying and inspecting products.

In upcoming mcube™ Newsletters, we’ll take the next step and show you how to use the Import Table Wizard and Advanced Query Builder to turn your semantic model into actionable insights, for example:

”Show all offshore wind projects where turbine deliveries are delayed by more than 30 days.”

Resources & Support

Explore more about how our customers have used mcube™ to transform their businesses.

Stay tuned for next month’s edition for more insights, innovations, and real-world enterprise AI applications with mcube™.
mcube™ 5.5 brings enterprise data, semantic context and AI agents together to turn business intent into governed action. The new Agentic Plane provides a unified workspace for approved models, agents and tools, with built-in controls for access, safety, cost and observability. Enhanced capabilities across multi-agent orchestration, SemantX, MorpheX and ezeXtend help organizations build, govern and scale production-grade Agentic AI across complex enterprise workflows.
cii-logo

24 Sep
2026

10:00 AM
(IST)

ITC Sonar,
Kolkata

24 Sep 2026

10:00 AM (IST)

ITC Sonar, Kolkata

ABOUT THE EVENT

25 years. One big AI conversation.

CII ICT East returns for its 25th edition to bring policymakers, industry leaders and innovators together – charting how AI will power Eastern India’s next decade of growth.

Highlights from our Content Session & Booth Engagements

Join TCG Digital leaders at CII ICT East 2026 for impactful keynote sessions, interactive panel discussions, live AI platform demonstrations, and strategic networking.

CONTENT SESSION

Debdas Sen,
CEO, TCG Digital

Keynote Address

Inaugural Session: India’s AI Roadmap: Unlocking Opportunities for Eastern India

PANEL DISCUSSION

Sujoy Choudhury,
Chief Strategy Officer, TCG Group

Panel Round

Session: AI in Action: Transforming Eastern India’s Core Sectors

LIVE DEMO

mcube™ & Agentic AI Demos

Experience real-time interactive demos combining mcube™ data intelligence with autonomous Agentic AI workflows.

EXPERT CONSULTATION

One-on-one Meets with Agentic Experts

Book 1-on-1 strategy sessions with our lead AI architects to map out your enterprise AI roadmap.

LEADERSHIP CONNECT

Strategic Partnerships

Engage with TCG leadership to explore co-innovation opportunities and long-term digital alliances.

Leadership Delegation

Debdas Sen

Chief Executive Officer (CEO),
TCG Digital

Sujoy Choudhury

Chief Strategy Officer,
TCG Group

Debapriya Nandan

Chief Revenue Officer,
TCG Digital

Programme Highlights

01

India’s AI
Roadmap

Inaugural session on policy & opportunity

02

AI in
Action

Transforming manufacturing, logistics, healthcare

03

Generative to
Multimodal AI

The next wave of enterprise transformation

04

AI-Ready
Workforce

Skills, jobs & the future of work

05

Agentic
Intelligence

The next frontier, beyond generative AI
LOOKING AHEAD

Shaping Ideas For India, Together With Intelligent Transformations.

The next decade of AI power starts here.

The science was done
weeks ago.

Why isn't the report?

Scattered lab data, ELNs, PDFs, slide decks, tables, chemical structures, doesn't turn itself into a coherent scientific narrative. See how it happens in minutes, live.

Please register for the webinar by clicking the button below.

The real bottleneck isn't the research.

If you’ve ever had a milestone deadline where the science was done weeks ago, but the report still isn’t ready, you already know where the time actually goes. It’s pulling together everything that’s scattered across ELNs, PDFs, slide decks, tables, and chemical structures, and turning it into one report that reads as a coherent scientific narrative. That work usually falls on your best researchers, at the exact time you need them focused on the next experiment, not reformatting the last one.
If this sounds like a familiar problem on your team, come see how it plays out end-to-end.

From scattered lab data to a finished report, in minutes

In the live session, you’ll see the path data actually takes, from source to structured narrative.

1

Pull

Data pulled directly from ELNs, documents, and chemical structure files, no manual re-entry.

2

Connect

The underlying data model keeps synthesis steps, results, and chemical logic connected and in order.

3

Report

A structured report assembled from that data in minutes.

Reasoning traceable back to source

See it end-to-end, live

Real ELN entries, real chemical structures, one finished report. There’ll be time for your questions after.

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

Can’t attend live? Register anyway — we’ll send you the recording.

Agentic AI in Action:

Predicting Transformer Failure
Before It Hits Your Bottom Line

Please register for the webinar by clicking the button below.

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

70+

Critical Transformers Protected

~27
years

Average Asset Age

33 kV and 6.6 kV

Networks Covered

See How Plant Teams Leverage mcube™ to

  • 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.

What You’ll See in mcube™ 5.5

Beyond asset health, mcube™ 5.5 fuses governance, enterprise orchestration, and industrial readiness into a scalable AI-intelligent platform.
  • AI Cost & Risk Governance | Agentic Plane: Centralized models, budgets, and controls.
  • EBIT & Margin Expansion | Multi-Agent Orchestration: Automated end-to-end industrial workflows.
  • Fast Root-Cause Resolution | SemantX: Active context from manuals and asset history.
  • Rapid Time-to-Value | ezeXtend: ROI-generating shop-floor apps deployed in days.
  • Zero Unplanned Outages | MorpheX: Unified SAP, lab reports, and streaming telemetry.
  • Secure Infrastructure | Enterprise Readiness: Enterprise-grade security and long-term stability.

Join the live session

Both demos, one 45-minute webcast — with time for your questions at the end.

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

Can’t attend live? Register anyway — we’ll send you the recording.

mcube™ ATS HACKATHON 2026

Building an Enterprise-Grade Agentic System in 72 Hours. Powered by mcube™

An agentic applicant tracking system (ATS), built entirely on mcube™: TCG Digital’s agentic AI platform.

72 HRS

TIME ON THE CLOCK

Agentic Core

Agents did the building

Agentic Plane

Governance: built in, not bolted on

ezeXtend

Ideas shipped as screens, in hours

You’ve been told an enterprise-grade system takes 4 months to build. On mcube™, it just took 72 hours.

01

Agentic Core did the work of a specialist engineering team: agents that parsed, ranked and handed off work to each other in minutes, not days.

02

Agentic Plane meant nobody built their own guardrails: governed, costed, traceable model calls switched on in hours.

03

ezeXtend turned “we need a new screen” into a shipped screen: described in natural language, built, and refined in hours.

04

72 hours. Not days, not a 6-month roadmap: a mission-critical, enterprise-grade, human-approved hiring platform. Done.

26

Teams Competed

10

Made the Final Round

100%

Human approval gate on every candidate decision

What actually got built in 72 hours?

At the mcube™ ATS Hackathon, multiple teams answered with a working product; built on mcube™ and ready to be integrated and scaled across the enterprise. Out of 26 teams, 22 submitted in 72 hours, and the top 10 made it to the final round.

And the best of them weren’t just mockups; they were real applications parsing actual resumes and making actual, human-approved hiring recommendations. Between them, the teams delivered:

Agentic CV parsing

Turned resumes into structured, searchable data.

Explainable ranking

Candidate-to-role fit scores that showed their reasoning.

AI-assisted screening

And interviews, grounded in the JD and the CV.

SLA-governed pipelines

Surfaced risks before they became breaches.

Natural-language copilots

Real-time pipeline insights through conversational AI.

Live dashboards

Built for recruiters and leaders alike.

Every candidate-facing decision passed through a human approval gate.

All of it, from a standing start, in 72 hours.

The modules behind the build

Every application at the hackathon was assembled from the same set of production modules already living on mcube™. Select a module to see what it actually does.
The work agents did, not the team

Agentic Core + AI 2.0

The part that lets you build a team of specialized AI agents: reading resumes, ranking candidates, drafting interview questions, and handing off work to each other correctly, with version control so a bad prompt change doesn’t quietly break your ranking logic the night before the big hiring push. All in hours, not weeks. This is the piece the hackathon teams would otherwise have spent real hours hand-rolling. On mcube™, it’s the starting point, not the stretch goal.

“When we connect these different agents, they can share context and work as a unified team. This creates smoother workflows, gives you highly accurate answers, and builds AI solutions you can confidently scale. That’s exactly what mcube™ 5.5’s multi-agent orchestration, agent registry and knowledge-graph grounding are built for.”

Ashutosh Ranjan
AI Competency Lead, TCG Digital

Governance: built in, not bolted on

Agentic Plane

Gives teams a governed, vendor-neutral layer to access, orchestrate and compose any LLM or agent: with cost tracking, behavior controls, and compliance built into every single call, not bolted on after legal asks about it. Instead of wiring up providers and guardrails one by one, teams built on rails, turning fragmented AI experiments into governed, reusable enterprise agents.

For an engineering team, that’s the guardrails, already done. For an HR leader, that’s the honest answer to “how do we know the AI isn’t doing something we can’t explain”: the platform is built to make every AI decision traceable back to a model, and a reason.

“Agentic Plane brings models, agents and enterprise tools together to help users execute complex, multi-step work through a unified experience.”

Sargam Kalia
Senior Product Manager, TCG Digital

The speed lever for the applications themselves

ezeXtend

Configurable, data-driven workflows, roles and interfaces, assembled without long build cycles. It’s what turns “we have an idea for a new dashboard” into a shipped screen in hours.

“Instead of starting with React code, developers can describe the experience they want in natural language, generate ezeXtend-compatible components, and iteratively refine them.”

Sargam Kalia
Senior Product Manager, TCG Digital

An agentic recruitment flow built entirely on mcube™

from CV parsing to a governed, human-approved hiring decision.

From the Hackathon Floor

Watch the Hackathon in Action

See what governed speed looks like when it's the default, not the exception.

This is what mcube™ makes possible today; 5.5 raises the ceiling further.

mcube™ 5.5 launches September 24.

The Pulse of mcube™

Discover What’s New in mcube™

August 2026 Edition

The value of enterprise AI is increasingly determined not by the intelligence it generates, but by how effectively that intelligence moves into decisions and action. This is the focus of our upcoming mcube™ 5.5 Release Webinar, where we will showcase what it takes to operationalize governed Agentic AI at enterprise scale.

This month’s edition brings that shift into focus across real-world applications. mcube™ 5.5 brings governance, multi-agent orchestration, semantic context, and connected enterprise data together through a transformer reliability use case. In aviation, the IROPS Control Tower demonstrates how specialized agents can work together to coordinate disruption recovery, while drill-down analysis helps users move directly from high-level metrics to the underlying data behind them.

Together, they reflect a broader direction for enterprise AI: connected intelligence that can be governed at scale, coordinated across workflows, and traced from decision to underlying data.

Andreas Diggelmann
Chief Product Officer, TCG Digital

Spotlight: mcube™ 5.5 Release Webinar | Agentic AI in Action: Predicting Transformer Failure Before It Hits Your Bottom Line  

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

The mcube™ 5.5 Release Webinar will put governed, multi-agent AI to work on a high-stakes operational challenge: predicting transformer failure before it impacts production and margin.

The live session features Agentic Equipment Analytics deployed at Haldia Petrochemicals (HPL) across 70+ critical transformers (33 kV & 6.6 kV). See how mcube™ 5.5’s Agentic Plane, Multi-Agent Orchestration, SemantX, ezeXtend, and MorpheX bring together DGA, oil quality, furan, and SCADA data to identify fleet-wide risk, isolate root causes, and support preemptive action.

Webinar | Inside the IROPS Control Tower: A Live Demonstration of Intelligent Airline Disruption Recovery

Tuesday, 15 September 2026 | 9:30–10:15 AM EST

Airline disruption recovery requires multiple decisions at once: anticipating operational impact, evaluating recovery options, coordinating stakeholders, and protecting the passenger experience.

Join us on 15 September for a live demonstration of the IROPS Control Tower, where Predictor, Optimizer, and Communicator agents work together across disruption scenarios to anticipate impact, identify recovery options, and coordinate response in real time.

The session will show how intelligent decision support can help airlines make faster, more coordinated recovery decisions when operations are disrupted.

Pro Tip: Drilldown data analysis

In business and data analysis, a pivot table summarizes thousands of rows of data into a few high-level numbers. A drill-down feature lets you click on one of those high-level numbers to see the exact raw records that created it. The benefit of this feature is twofold:

1. Uncovering Insights

a. Spotting anomalies: If your total monthly sales look unusually high or low, you can click the total cell to instantly view the underlying transactions and find out why.


b. Finding the story: It lets users move seamlessly from the “big picture” macro view to the “individual row” micro view.

2. Improved User Experience

a. Clutter-free screen: Instead of dumping all raw data onto the screen at once, you show a clean summary. Users only look at details when they specifically choose to.


b. Faster workflows: Users do not have to leave the pivot table, open a new page, or run a separate search filter to audit a specific metric.

Resources & Support

Explore more about how our customers have used mcube™ to transform their businesses.
Stay tuned for next month’s edition for more insights, innovations, and real-world enterprise AI applications with mcube™.

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.

Please register for the webinar by clicking the button below.

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.

Learn More

Live 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.

Learn More

Live Proof in Action:

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.

Join the live session

Both demos, one 45-minute webcast — with time for your questions at the end.

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

Can’t attend live? Register anyway — we’ll send you the recording.

Time is the New Molecule

6th October

Final date to be confirmed based on speaker availability

1:00 PM – 6:30 PM

Including an executive networking reception

Hyatt New Jersey

New Jersey

An exclusive forum for life sciences leaders exploring how Connected Scientific Intelligence and Enterprise & Agentic AI can accelerate the molecule-to-market journey—enabling faster development, lower risk, and enterprise-wide transformation.

Event Agenda

Time Session
1:00 – 1:30 PM Registration & Executive Networking
1:30 – 1:45 PM Welcome Address & Vision Keynote
1:45 – 2:45 PM Executive Panel: Connected Scientific Intelligence
2:45 – 3:00 PM Coffee Break & Executive Networking
3:00 – 3:15 PM Driving Drug Product Success:
AI for Smarter Experimentation, Predictive Formulation & Development Optimization
3:15 – 3:30 PM Speeding the Path to Clinical Trials:
AI for Better Patient Identification, Recruitment & Retention
3:30 – 3:45 PM Accelerating Commercial Readiness:
AI for Faster Scale-Up, Technology Transfer & Manufacturing Excellence
3:45 – 4:30 PM AI Agents in Action:
Demo Showcase + Coffee Break
4:30 – 5:15 PM Executive Panel:
From AI Pilots to Enterprise Impact
5:15 – 5:30 PM Closing Vision & Executive Takeaways
5:30 – 6:30 PM Executive Networking Reception
Registration

Life Sciences Leadership Summit 2026

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