Verdantis delivers AI-native Enterprise Asset Management (EAM) and Industrial Master Data Management (MDM) solutions designed for asset-intensive industries, including Oil & Gas, Energy, Metals & Mining, Chemicals, Food & Beverages, and Manufacturing.
The company focuses on improving maintenance efficiency, spare parts availability, and data governance by aligning asset operations with inventory and procurement processes.
Its flagship EAM suite, MRO360, is built on a modular architecture with Inventory Spare Parts Management at its core. The solution supports criticality assessment, obsolescence detection, multi-tier parts classification, and optimized reorder point management, enabling organizations to balance service levels with inventory costs and supply risk.
MRO360 extends its modules across the maintenance lifecycle. Work order planning prioritizes tasks based on asset failure risk, safety requirements, and material availability. Predictive maintenance analyzes historical failure patterns, spare parts consumption, and work order data to anticipate breakdowns and improve maintenance planning accuracy.
Demand planning capabilities forecast requirements across planned and unplanned workloads, supporting better inventory planning and procurement decisions. The platform also includes a structured asset registry that maintains records across single and multi-site operations, supporting traceability and standardized maintenance practices.
Reliability-centered maintenance applies failure mode analysis to define appropriate strategies across preventive, predictive, and run-to-failure approaches.
Complementing the EAM platform, Verdantis’ MDM solutions standardize, enrich, and govern master data across materials, suppliers, vendors, and services. Context-aware AI agents support data extraction, enrichment, localization, and alternate part identification, improving data quality, governance, and operational consistency across distributed environments.
Verdantis delivers AI-native Enterprise Asset Management (EAM) and Industrial Master Data Management (MDM) solutions designed for asset-intensive industries, including Oil & Gas, Energy, Metals & Mining, Chemicals, Food & Beverages, and Manufacturing.
The company focuses on improving maintenance efficiency, spare parts availability, and data governance by aligning asset operations with inventory and procurement processes.
Its flagship EAM suite, MRO360, is built on a modular architecture with Inventory Spare Parts Management at its core. The solution supports criticality assessment, obsolescence detection, multi-tier parts classification, and optimized reorder point management, enabling organizations to balance service levels with inventory costs and supply risk.
MRO360 extends its modules across the maintenance lifecycle. Work order planning prioritizes tasks based on asset failure risk, safety requirements, and material availability. Predictive maintenance analyzes historical failure patterns, spare parts consumption, and work order data to anticipate breakdowns and improve maintenance planning accuracy.
Demand planning capabilities forecast requirements across planned and unplanned workloads, supporting better inventory planning and procurement decisions. The platform also includes a structured asset registry that maintains records across single and multi-site operations, supporting traceability and standardized maintenance practices.
Reliability-centered maintenance applies failure mode analysis to define appropriate strategies across preventive, predictive, and run-to-failure approaches.
Complementing the EAM platform, Verdantis’ MDM solutions standardize, enrich, and govern master data across materials, suppliers, vendors, and services. Context-aware AI agents support data extraction, enrichment, localization, and alternate part identification, improving data quality, governance, and operational consistency across distributed environments.