i3met
Integrated inventory management system
Infrastructure inventory, inspections and maintenance on a single platform, with maps and dashboards.
Monitoring and management
i3met is an asset management system that lets organisations manage their infrastructure inventories efficiently and securely. It provides a complete view of every asset (location, condition, maintenance and repairs) and adapts to each organisation with its own fields, forms and processes.
What it does
01Asset management
- Registration and tracking of every asset: location, condition, maintenance and repairs.
- Interactive map to navigate and identify areas of interest.
- Filters and search by location, condition or type.
02Inspection management
- Scheduling and tracking of periodic inspections.
- Inspection reports and maintenance recommendations.
- Inspection history to plan the next ones.
03Maintenance planning
- Preventive and corrective maintenance tasks.
- Resource allocation and task tracking.
- Maintenance reports and cost analysis.
04Monitoring and analysis
- Queries and data analysis by asset.
- Control panels and dashboards.
- Export and custom reports.
05Optimisation algorithms
- Preventive and predictive maintenance based on different criteria.
- Anticipating problems before they occur.
- Scenario and strategy analysis.
- Integration with geographic information systems.
06Customisation
- Fields, forms and processes tailored to each organisation.
- User permissions and roles.
- Integration with existing systems.
Global presence
i3met has been successfully deployed in organisations around the world. Our clients rely on it to optimise asset management, improve operational efficiency and ensure safety and regulatory compliance in their day-to-day work.
ISO/IEC 27001 certified
The design, development, operation, maintenance and support of i3met and its cloud services are within the scope of our Information Security Management System, certified to UNE-EN ISO/IEC 27001:2023.
Where we have applied it

Spain, Chile, Brazil and Italy
Asset management for Abertis motorways
A common tool for every Abertis concession to know its assets and manage their maintenance.
View project on ines.es
Chile
Asset management system for the Ministry of Public Works
Web software to manage the main assets of the national road network.
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Chile
Bridge management for the national railway network
Bridge management system for EFE, after inspecting and repairing its railway bridges in central and northern Chile.
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Kenya
Road bridge management system
From reactive maintenance to planning: prioritising repairs before deterioration affects safety.
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Saint Vincent and the Grenadines
Road and public building assets
Inventory and management of roads and public buildings in an island nation exposed to hurricanes.
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Bhutan
Infrastructure management and investment plan
Some 4,000 km of roads and 300 bridges managed with a dedicated system and an investment plan.
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Bhutan
Geohazards on the road network
Geohazard risk management for roads in the eastern Himalayas, integrated into asset management.
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Uganda and Kenya
Bridge management system for KeNHA
Implementation of the Kenya National Highways Authority bridge management system between 2021 and 2026.
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Dominica
Risk-based asset management
Roads and bridges managed according to risk, to build resilience on tight budgets.
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Anguilla
Risk management for public buildings
Risk management capability for public buildings in a territory exposed to extreme weather.
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Dominica
Road network resilience
Strategy and management system for a road network in the heart of the hurricane belt.
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Catalonia
Geotechnical asset management for DGIM
Methodology and tool to rate cuttings, embankments and tunnels on the Catalan network.
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Catalonia
Tunnel and underground works management
Maintenance and safety of more than 200 tunnels using advanced inspection technologies.
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Madrid
Structure management for Madrid, M-30 and the Region
Madrid City Council, Madrid Calle 30 and the Community of Madrid prioritise the upkeep of their structures with i3met.
View project on ines.es
Spain
Bridge condition prediction
Machine learning to anticipate the condition of more than 25,000 bridges of the Ministry of Transport.
View project on ines.es
Want to see itin action?
We will show you i3met with data and cases similar to yours, and answer your technical questions.
