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Agentic enterprise AI

Intelligence Center X

Predict disruptions, cut warranty costs and accelerate smarter engineering changes with one unified agentic system.

Turn IT, OT and engineering data into a system of action. Ground AI in your institutional knowledge and catch problems before they reach your products, margins or the plant floor.

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AI that meets your data where it lives

The problem: A supply chain disruption. A warranty spike. A missed engineering change. Most enterprises have spent decades warehousing data to address these challenges, yet they have failed to connect that data and make it actionable. This leaves AI models blind to the full scope of the business, unable to turn raw information into the decisive, agentic action that modern leaders require.

The solution: Intelligence Center X connects your existing systems through a unified knowledge graph, grounding AI agents in a deep, shared understanding of your engineering, operations and business – without the need for another data silo. It goes beyond simple insight by orchestrating workflows between people and agents, ensuring that data-driven precision translates directly into decisive action and measurable business impact.

INDUSTRIAL AI

AI that speaks your industry’s language

Generic AI doesn’t understand BOMs, batch genealogy, configuration effectivity or quality genealogy.

Intelligence Center X is grounded in ontologies built by the same teams behind Teamcenter and Opcenter. They're the work of domain experts who understand your systems from the inside, proven in the industries that run on them.

INDUSTRIES

One platform built for every industry

A modern aircraft soars past a factory with a satellite orbiting above, symbolising the aerospace and defence technology.

Aerospace and defense

Move complex programs faster with connected intelligence across engineering, supply chain and operations.

Common use cases include:

  • Engineering change impact and program risk
  • Supply chain risk and intelligent substitution
  • Predictive sustainment and mission readiness
Overhead view of industrial robots working on semiconductors in a manufacturing facility

Semiconductors and electronics

Improve yield and uptime by turning complex fab data into actionable intelligence.

Common use cases include:

  • Fab-wide process and yield optimization
  • Equipment reliability and predictive maintenance
  • Cross-domain root cause and traceability
A person is standing in front of a car, possibly in an automotive industry setting.

Automotive

Accelerate innovation and production with intelligence across engineering, manufacturing and supply chain.

Common use cases include:

  • Cross-plant quality and root-cause analysis
  • Supplier risk and parts traceability
  • Engineering change and impact analysis
Life Sciences Visual 2026

Life sciences

Accelerate production and quality decisions while maintaining traceability and compliance.

Common use cases include:

  • Quality investigation and root-cause analysis
  • Batch and quality genealogy tracing
  • Supply chain risk and regulatory compliance
THE SOLUTION

Connecting context, intelligence, action and trust

AI stalls when business visibility is low, insights get stuck, agents lack oversight and decision tracing is impossible. Intelligence Center X closes those gaps by connecting knowledge, intelligence and action into a single operating system, under human supervision, and governed from the ground up.

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Context

Build a live enterprise knowledge graph with out-of-the-box industrial ontologies for decision-ready insights across the lifecycle. With Graph Studio, agents and teams answer cross-domain questions in seconds.

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Intelligence

Build, deploy and govern custom ML models grounded in your operational context. With AI Studio, get intelligence that’s predictive, prescriptive and explainable.

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Action

Our Mendix development environment allows your teams to build agents and intelligence applications, and orchestrate them into action. Rely on built-in governance from day one, not retrofitted for later.

Governance: Trust

Every agent action, model inference and workflow decision traces back to the source data and the human who approved it.

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Guardrails

Limits what agents and people can access, decide and execute.

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Full traceability 

Trace all actions, inferences and decisions back to source data and business rules.

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Security

Protects data, identities and systems.

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Governance built in

Rely on policies, oversight and compliance controls embedded in the platform from day one.

Customer story

Brazil's leading flat glass manufacturer

Vivix Vidros Planos puts AI and people to work, together.

reduction in production issue resolution time

hours of manual work recaptured in a single year

customer complaint resolution time (down from 5 days)

faster resolution time in quality-related investigation

With this system, we are ready for the agentic future, enabling our people and AI to work together in a more connected and productive way."
Aristóteles Terceiro Neto, Industrial Transformation Manager, Vivix Vidros Planos
Customer story

Global pharmaceutical company

Global pharma leader sees its business whole.

From days to seconds

Cross-domain query times down from hours (sometimes days) to seconds at 15 billion data points in production.

Complete end-to-end view of data

First-ever end-to-end view of manufacturing, quality and supply chain data.

Decisions made easier

Real-time batch rerouting decisions — previously impossible.

Better compliance management

Significant reduction in regulatory compliance burden.

We'd never had an end-to-end view of our value chain. For the first time, we could ask any question across manufacturing, quality and supply chain — and get an answer in seconds."
Associate Director, Data Science
Customer story

Digital technology and IT services distributor

African technology leader builds an AI-ready future.

less manual work with automated workflow

reduction in time to onboard new vendors

accuracy in automated pricing ingestion

Auditability and traceability of cost components were previously impossible.”
Chief Cloud, Digital and Marketing Officer