Cerexio AssetOne

Cerexio AssetOne is an AI-powered industrial asset management and asset performance platform designed for asset-intensive industrial environments. Derived from the Cerexio One Framework, it combines asset management, asset health monitoring, maintenance intelligence, predictive analytics and operational optimisation to help organisations protect, manage, monitor, predict and improve the performance of critical assets throughout their lifecycle. AssetOne is designed to help industrial organisations improve asset reliability, availability, utilisation, maintenance efficiency and OEE while reducing the time, cost and effort required to manage complex asset operations.

AI-powered asset management uses artificial intelligence, machine learning, operational data and predictive analytics to move beyond traditional asset tracking and maintenance management. Instead of simply recording what assets an organisation owns and what maintenance has occurred, AI-powered asset management can analyse asset history, operating conditions, maintenance information and performance patterns to identify risks, detect anomalies, generate predictive insights and support better maintenance and operational decisions. Cerexio AssetOne applies this approach to help organisations move from reactive asset management towards more predictive, data-driven and continuously optimised asset operations.

Cerexio AssetOne improves asset performance by connecting asset information, operational conditions, maintenance activities, asset health and performance intelligence within one environment. This allows teams to understand how assets are performing, identify abnormal behaviour, recognise recurring issues, prioritise maintenance requirements and make more informed decisions about asset utilisation and reliability. By connecting asset intelligence with operational performance, AssetOne can help organisations reduce avoidable downtime, improve equipment availability, optimise maintenance activities, extend asset lifecycle and support continuous OEE improvement.

Yes. Cerexio AssetOne supports predictive maintenance by using asset data, historical information, operational conditions and AI-powered analytics to identify potential equipment risks before they develop into costly failures. Predictive asset intelligence can help maintenance teams identify abnormal patterns, assess asset risk, anticipate potential failures and prioritise assets that require attention. This enables organisations to move beyond purely reactive or fixed-schedule maintenance towards a more condition-aware and intelligence-driven maintenance strategy.

Yes. Cerexio AssetOne can support OEE improvement by providing intelligence into the asset conditions and equipment-related factors that influence availability, performance and production efficiency. By identifying downtime patterns, asset performance issues, recurring failures, utilisation gaps and maintenance-related disruptions, AssetOne can help teams understand where equipment is affecting operational performance. This creates a stronger connection between asset management, maintenance management and Overall Equipment Effectiveness (OEE), enabling organisations to make more informed decisions to improve equipment availability, performance and operational efficiency.

Cerexio AssetOne supports Industry 4.0 asset management by connecting industrial assets with data, analytics and AI-powered intelligence. Its Industry 4.0 approach can incorporate connected assets, Industrial Internet of Things (IIoT), machine data, real-time operational information, predictive analytics and intelligent decision support. Instead of treating connected equipment as isolated sources of data, AssetOne is designed to turn asset and operational information into actionable intelligence for monitoring, maintenance, prediction and performance optimisation. This helps organisations progress towards smarter, more connected and data-driven industrial operations.

Cerexio AssetOne supports the principles of Industry 5.0 by combining industrial intelligence with human decision-making. AI-powered insights can help maintenance, engineering and operations teams understand asset risks, investigate performance issues, prioritise actions and make more informed decisions without replacing the people responsible for industrial operations. This approach supports human-centric operations while also contributing to greater resilience, resource efficiency and sustainable asset utilisation. AssetOne therefore extends connected Industry 4.0 capabilities with AI-assisted intelligence designed to help people operate complex industrial environments more effectively.

Yes. Cerexio AssetOne is designed to support end-to-end asset lifecycle management, from asset acquisition and registration through installation, commissioning, operation, monitoring, maintenance, performance optimisation and eventual replacement or retirement. By maintaining structured asset information and connecting it with maintenance, condition, performance and operational intelligence, AssetOne helps organisations maintain visibility throughout the asset lifecycle. This lifecycle approach can support better investment decisions, asset reliability, maintenance planning, lifecycle cost management and long-term asset performance.

Cerexio AssetOne is designed to operate within connected industrial environments and can be configured to work with relevant enterprise, maintenance, manufacturing, automation and industrial data sources, depending on the customer's technology environment and integration requirements. Potential environments may include ERP, CMMS, MES, SCADA, PLC, IoT and IIoT data sources where technically supported and configured. The purpose of these connections is to bring relevant asset and operational information together so organisations can build a more complete view of asset health, maintenance requirements and operational performance rather than managing critical information across disconnected systems.

Cerexio AssetOne is designed for industrial environments where expensive, critical or asset-intensive equipment plays a significant role in operations. Its configurable architecture allows asset management and asset intelligence capabilities to be adapted to different industrial environments, including manufacturing, food and beverage, FMCG, industrial equipment, plastics and metal processing, packaging, pharmaceuticals, chemicals, petrochemicals, oil and gas, paints and coatings, utilities, energy, water, logistics and other asset-intensive operations. The appropriate configuration depends on the organisation's assets, processes, data environment and operational requirements.

AI helps maintenance teams by turning large volumes of asset, maintenance and operational data into actionable intelligence. Cerexio AssetOne can use AI-powered capabilities to identify patterns, detect potential risks, support predictive maintenance, highlight abnormal asset behaviour, assist with root-cause investigation and provide recommendations that help teams prioritise maintenance activities. Instead of requiring maintenance teams to manually review large amounts of historical information, AI can help surface the information most relevant to a particular asset, risk or operational decision.

Cerexio AssetOne reduces manual effort by bringing asset information, maintenance activities, operational data and asset intelligence into a connected environment. Automated monitoring, structured asset records, predictive insights, risk prioritisation, analytics and AI-assisted decision support can reduce the need for teams to manually search through fragmented records and systems. This allows maintenance and operations teams to spend less time gathering and interpreting information and more time acting on asset risks, maintenance requirements and performance opportunities.

A traditional CMMS (Computerised Maintenance Management System) is primarily focused on organising and managing maintenance activities such as work orders, preventive maintenance, maintenance schedules, equipment records and maintenance history. Cerexio AssetOne takes a broader asset intelligence and operational optimisation approach, connecting asset management and maintenance intelligence with asset health, predictive analytics, operational performance and AI-assisted decision support. Rather than focusing only on managing maintenance tasks, AssetOne is designed to help organisations understand what is happening to their assets, why it is happening, what may happen next and what actions can improve asset and operational performance.