Decision Intelligence Software for Manufacturing
Extreme weather events, ageing infrastructure and the transition to renewables are reshaping utilities. Stratio gives every team in your organisation, from field operations to the boardroom, a single picture of what is happening across your network and what to do next.
From reactive maintenance to operational intelligence at a leading European manufacturer
An industrial manufacturer operating complex assets across multiple facilities, working with Stratio to prevent production failures and improve operational efficiency.
-20%
reduction in operational failures
+30%
improvement in operational efficiency
Weeks
to first working AI use case in production
The data problem behind every unplanned shutdown
Production lines halt without warning. Maintenance teams react to failures rather than preventing them. Operations, engineering and supply chain work from different systems with different views of the same asset. Behind every one of those gaps is the same root cause: operational data that exists across sensors, maintenance records and logistics systems but has never been unified into a single, governed view that AI can act on.
Stratio connects your operational technology and information technology systems, gives the data consistent business meaning and puts AI-driven recommendations into the hands of the engineers, operations managers and supply chain teams that need them. Works in air-gapped and on-premises environments. Designed and built in Europe.
What Stratio makes possible for manufacturers
01
When sensor data, maintenance records and engineering knowledge are unified under a single governed view, AI can detect failure patterns before they become production stoppages. Stratio operationalises predictive maintenance models on real-time operational data, reducing failures by 20% and enabling maintenance teams to prioritise interventions before the asset goes down.
02
Operations, engineering, maintenance and supply chain teams rarely work from the same data. Stratio establishes consistent definitions across every system: what an asset is, what a failure event means, what an intervention record contains, so every team makes decisions from the same source of truth, without reconciling conflicting reports before acting.
03
Most industrial AI programmes stall between proof of concept and production. The models work in test but the operational data is inconsistent, the outputs are unexplainable and deployment requires connectivity the environment does not have. Stratio is designed to work in air-gapped, on-premises and hybrid environments, with every model output explainable and every decision logged. Designed and built in Europe, so EU AI Act and GDPR compliance is structural rather than a configuration layer added on top.
HOW IT WORKS
How Stratio works in manufacturing and industrial operations
Stratio connects to your existing OT and IT systems without replacing them or moving data. Works in air-gapped and on-premises environments. Most manufacturers have their first governed AI process running within weeks.
Stratio connects to the operational systems and data sources you already run, including IoT device streams via standard industrial protocols. Nothing is replaced or migrated. Connections are additive and most manufacturers have their first governed AI process running within weeks.
Stratio establishes consistent definitions of what an asset, a failure event, a maintenance order and a production run mean across every system. One shared understanding for operations, engineering, maintenance and finance.
Governed AI agents deliver predictive maintenance alerts, operational recommendations and quality control signals directly into the workflows your teams already use. Every recommendation is explainable and every decision is logged.
Stratio runs on-premises, in air-gapped environments or as a hybrid deployment. Your operational data never leaves your infrastructure. For manufacturers with strict security, sovereignty or connectivity requirements, that is a deployment model built into the architecture.
Where Stratio makes the difference in manufacturing
Governed digital twin that anticipates failures and sustains the availability of critical assets.
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−20%
Failures on naval platforms
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+30%
Operational efficiency on vessels
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Offline
Air-gapped capable ·rnsovereign infrastructure
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Reactive → Predictive
Sustainment model shift