Siemens ICX, one platform: from data to decision, with context, prediction and action on one governance layer.

One platform, from data to decision.
Data ERP, CRM, MES, IoT, emails, PDFs Ontology What each thing is and how it relates Context The company’s knowledge graph Predictive AI Models trained on your data Decision Agentic apps in the hands of those who work
Action MendixApplications and AI agents that take the decision into the process, with or without agents, and a person accountable for every critical decision. Intelligence AI StudioPredictive, explainable models trained on the company’s context. Context Graph StudioOntology and knowledge graph: what each thing is and how it relates, across every system. Data The systems you already have - ERP
- CRM
- PLM
- MES
- IoT
Documents
Mendix
Legacy modernization Integration with SAP, Teamcenter and the edge
AI Studio
Predictive maintenance and quality Risk, demand and collections
Graph Studio
Questions across silos Trusted context for agents
Mason, powered by AGENIUS: the fast track to Siemens ICX.
From legacy to Mendix.
Business rules recovered, even those nobody documented Every requirement tied to an automated test Phased migration, with the old system running until cutover
The full ICX ecosystem.
Ontology proposed from the real systems, validated by the business Models trained and explained on the graph’s context Agents with permissions, approvals and an audit trail from day one
Read systems, data and documents Model rules, ontology, architecture Build apps, models and agents Prove tests and evidence at every phase
Agentic enterprise AI, on the company’s real context.
- 01
Context Graph StudioConnects the systems the company already has into a live knowledge graph, with prebuilt industrial ontologies. Cross-domain questions answered in seconds. - 02
Intelligence AI StudioBuilds, deploys and manages machine learning models on operational context: predictive, prescriptive and explainable intelligence. - 03
Action MendixEnvironment to build agents and intelligent applications and orchestrate them into actions, with workflows between people and AI agents. - 04
Trust Governance Limits on what agents and people can access, decide and execute; human oversight; decisions traceable to source data and business rules; protection of data, identities and systems.
AI that speaks your industry’s language.
Bills of materials (BOM) Batch genealogy Configuration effectiveness Quality genealogy
AI that meets your data where it lives.
One platform, built for each industry.
Aerospace and defense
Engineering change impact and program risk Supply chain risk and smart substitution Predictive sustainment and mission readiness
Semiconductors and electronics
Process and yield optimization across the plant Equipment reliability and predictive maintenance Cross-domain traceability and root cause analysis
Automotive
Cross-plant quality and root cause analysis Supplier risk and parts traceability Engineering change and impact analysis
Life sciences
Quality investigation and root cause analysis Batch and quality genealogy Supply chain risk and regulatory compliance
Results published by Siemens.
Vivix Vidros Planos
- −85%
time to troubleshoot production issues 6,000 h of manual work recaptured in a year - 4×
faster quality investigations
Global pharmaceutical company
hours → seconds cross-domain queries, across 15 billion production data points First-ever end-to-end view of manufacturing, quality and supply chain
Digital technology and IT services distributor
- −95%
manual work, through automated workflows - −63%
supplier onboarding time