Ontologies for Manufacturing & Operations
From predictive maintenance to supply chain traceability — connect IoT, ERP, and supplier data into a unified semantic layer that enables autonomous operations and audit-ready compliance.
The Problem
Trapped Data
IoT sensor data, maintenance logs, ERP systems, and supplier databases all exist in isolated silos — making it impossible to correlate equipment health with operational context without months of integration work.
Unqueryable Relationships
The connections between machines, suppliers, batches, and processes are understood by engineers but not queryable by systems. Root cause analysis and dependency mapping require manual investigation.
Reactive Operations
Without connected, real-time visibility, teams react to failures rather than predict them. Supply chain disruptions cascade unexpectedly, and safety and compliance gaps go undetected until it's too late.
The Ontology Advantage
Maximise Asset Performance
- Predict equipment failures days in advance — connecting IoT sensor data, maintenance history, and operational context automatically
- Cut mean time to repair with root cause analysis across machine and process dependencies in minutes, not days
- Improve OEE by linking availability, performance, and quality data into a single queryable knowledge layer
- Eliminate reactive maintenance — trigger autonomous intervention workflows the moment ontology conditions are met
Optimise Your Supply Chain
- Map multi-tier supplier relationships and simulate disruption impact before it reaches the production line
- Trace every batch, component, and process step from raw input to finished goods with complete, auditable lineage
- Align production schedules to real-time demand and material availability signals — reducing waste and lead times
- Execute instant recall readiness: identify and isolate affected components across the supply chain in minutes
Ensure Quality & Compliance
- Trace non-conformances from finished goods back to root-cause inputs with full, auditable lineage every time
- Automate quality hold and inspection workflows triggered by real-time ontology-driven alerts — no manual review required
- Generate regulatory documentation and audit trails automatically to meet ISO, industry, and customer standards
- Full traceability for safety and compliance audits — built in by design, not bolted on after the fact
Enable Autonomous Operations
- Agentic workflows trigger autonomously when ontology conditions are met — anomaly detection, maintenance alerts, quality holds
- Deploy on Snowflake, Databricks, or AWS — workloads run natively inside your existing infrastructure, zero migration required
- Connect IoT, ERP, MES, and SCADA systems in a single session — no data movement, no specialist integration work
- Every inference is deterministic and explainable — giving operations teams full confidence in automated decisions
Get Started in One Session
Every implementation is tailored to your unique challenges.
From Our Happy Customers
Prometheux is a Trusted Knowledge and Decision Intelligence platform. Imagine being able to define concepts connected to any source and orchestrate these to solve complex business challenges. In the age of AI and LLMs, Prometheux is a critical tool to ensure decisions are made with proper context, transparency and explainability.
Generative AI without ontologies is an engine without a road. Prometheux builds the road.
Prometheux is more than just technology; it is a catalyst for fact-based decision-making. The ability to query heterogeneous databases through a flexible ontology makes it possible to infer deep knowledge and automate complex tasks, delivering trustworthy insights that far exceed the capabilities of traditional systems.
With Prometheux, we achieved a speed-up of over 250% on critical tasks involving complex reasoning over knowledge graphs with hundreds of millions of nodes and billions of edges. In the financial domain, where timeliness and analytical depth are both essential, this level of performance improvement significantly enhances our ability to extract insights, manage risk, and support data-driven decision-making at scale.
Prometheux enabled us to build a system that can access our databases, process all the client’s historical variables, and provide an intelligent, understandable explanation autonomously.
Prometheux is a Trusted Knowledge and Decision Intelligence platform. Imagine being able to define concepts connected to any source and orchestrate these to solve complex business challenges. In the age of AI and LLMs, Prometheux is a critical tool to ensure decisions are made with proper context, transparency and explainability.
Generative AI without ontologies is an engine without a road. Prometheux builds the road.
Prometheux is more than just technology; it is a catalyst for fact-based decision-making. The ability to query heterogeneous databases through a flexible ontology makes it possible to infer deep knowledge and automate complex tasks, delivering trustworthy insights that far exceed the capabilities of traditional systems.
With Prometheux, we achieved a speed-up of over 250% on critical tasks involving complex reasoning over knowledge graphs with hundreds of millions of nodes and billions of edges. In the financial domain, where timeliness and analytical depth are both essential, this level of performance improvement significantly enhances our ability to extract insights, manage risk, and support data-driven decision-making at scale.
Prometheux enabled us to build a system that can access our databases, process all the client’s historical variables, and provide an intelligent, understandable explanation autonomously.
Why Prometheux?
Power Up Your Stack in 1 Click.
Deploy on your existing infrastructure. Run workloads natively on your existing compute, entirely within your environment with our native integrations.
Resource Center
Perspectives on our customers, future of data, AI, and ontologies.
Driving measurable uplift through intelligent, real-time product recommendations.
Prometheux brings ontology-based data processing directly on Snowflake.
Transforming credit risk analysis from 17 minutes to 5 seconds.


