Turn unstructured data into centralised, standardised, scalable and execution-ready strategies you can trust
Nexaan is an advanced technology Asset Performance Management (APM) solution, built from the ground up for the mining industry. Nexaan helps improve efficiency, data standardisation, scale and reliable maintenance strategies.
Automation and AI capabilities automatically standardise your data from foundations of asset classification, equipment hierarchies and names, standardised failure modes, task descriptions and work instructions for enterprise-wide precision.
Pre-populates data by handling the manual data entries through learning the user’s or your organization’s requirements, enabling repeatable, standardised and auto-populate data from Asset Library to specific functional location equipment data to Task Bundling.
Connect Asset Library data to Functional Location specific equipment’s RCM/FMEA to CMMS Failure Codes, PM Documentation and Maintenance Planning. Data changes are click away to end-to-end updates automatically and every change, knowledge, experience and information is logged for better decision making.
Your central control room for user setup data.
Where library style data meets intelligent automation.
Intelligent & Automated maintenance task bundling.
Critical Assets Managed
All critical equipments are identified, analysed carefully and part of maintenance plans – eliminating risks of safety, compliance, or under-maintenance.
Clean & Standardised Data
AI adoption becomes practically easier with clear ROI, and decisions become faster and business aligned. Builds confidence across operations and leadership, driving scalability, efficiency, and unlocking the true value of digitisation.
Cost Reduction
Scalability
For the first time, improvements at one site scale instantly across entire same group of equipments and enterprise level.
From concept to global impact – transforming asset management in the mining industry
From concept to global impact - transforming asset management in the mining industry