AI-Native Enterprise Asset Management
Since 2004, the world's leading enterprises, including Fortune 500 companies, have trusted our cutting-edge enterprise asset management software solutions to build excellence across their maintenance and asset management processes.
Our AI-native, state-of-the-art software solutions blend deep functional expertise in Inventory Optimization, Work Order Management, and Data Management to ensure critical assets run reliably with minimal downtime.
Explore Our Products →Illustrative interface · sample data
Why we exist
A world where assets think, anticipate, and never fail unseen.
Empowering reliability teams with autonomous AI agents, built on trusted master data, that anticipate failure, perfect every decision, and elevate critical assets to peak performance.
The problem we solve
Every unplanned outage from a missing spare, every emergency order at a steep premium, every obsolete part quietly draining working capital: these are not inventory problems. The data needed to prevent all of them already exists inside your systems. It just is not being read, connected, or acted on. That is what we fix.
Unplanned outages triggered by parts that were in the network the whole time, but invisible to the planner who needed them.
A 30 to 60 percent cost premium on emergency procurement that better information, available days earlier, would have prevented.
Obsolete and surplus parts accumulating carrying cost while working capital sits locked away in storerooms across sites.
The impact
Typical and anticipated outcomes across asset-intensive deployments. Results scale with operational maturity and data readiness.
Purpose-built for asset-intensive operations — not adapted from generic enterprise software. Each suite solves a distinct, critical challenge.
End-to-end MRO inventory optimization. Practically guarantees availability of critical spares, controlled procurement spend, and zero maverick spending.
The master data platform for asset-intensive enterprises. Cleanse, standardize, enrich and govern master data across 5+ domains with AI-native processing and deep ERP integrations.
The product · MRO360
MRO360 runs as one self-learning system. Each module feeds the next, continuously and autonomously, so reliability teams spend their judgment only where it genuinely changes the outcome.
Ask for a part the way you would ask a colleague. AI returns ranked matches, substitutes and multi-plant stock. No part number required.
Industry models plus contextual AI score every asset on consequence, probability and real plant context, not guesswork.
Every SKU scored from the equipment it supports. The same part carries a different score at a different plant.
Dead stock identified, alternates sourced, value recovered. A replacement path, not just a flag.
Real-time ABC and XYZ classification with a working capital figure attached to every insight.
A statistical baseline plus AI pattern recognition for planned, corrective and emergency demand, each forecast on its own.
Never a static policy. Every recalculation weighs criticality, lead time, supplier reliability and cross-site stock.
A filtered queue surfaces only the work orders at genuine risk, with every required spare confirmed before release.
One network-wide view ends the case where Plant A buys what Plant B already holds as surplus nearby.
Search → Criticality → Velocity → Forecast → Reorder → Work Orders → Transfer
Evaluate two purpose-built solutions designed for industrial enterprises - MRO360 for spare parts and maintenance optimization, and MDM Suite for master data harmonization and governance.
Pick what you need – the form adapts to route you to the right team.
Platform-agnostic
MRO360 reads your material master, work orders, goods movement, lead times, asset register and vendor history wherever they live. No replacement of your ERP, CMMS or EAM. You keep your system of record. We make it think.
Self-learning & agentic
Accuracy that compounds with your operating context and your team's feedback cannot be copied from a standing start. That compounding is the moat.
Deployed against your data and tuned to your operating context and criticality framework, validated before go-live.
Every engineer override and correction feeds back into the model. Accuracy compounds, plant by plant.
Once agreed thresholds are met, agents act on routine decisions on their own. Teams shift to directing strategy.
The foundation
An asset agent is only as good as the data underneath it. Verdantis spent two decades building reliable industrial datasets, taxonomies, failure benchmarks and purpose-trained agents for materials, equipment, services and supplier data.
That is the moat. Most AI maintenance tools start from a blank model. MRO360 starts from data that is already clean, classified and context-aware, so its first recommendation is defensible, not a guess.
Our leadership
We see a future where every critical asset can think, anticipate, and signal before it fails. Our work is to make that future operational: trusted master data, autonomous agents, and reliability decisions that get sharper every single day.
Clients talk
Verdantis has been a partner we can depend on. The data foundation they built means storerooms now find the parts they need and procurement can finally see aggregate demand for the same part across every site. The time to get a part created and ready to order has dropped sharply.
We did our due diligence, narrowed the field, and after seeing competing demonstrations we chose Verdantis. Their tools had a proven path for the full lifecycle of our material and asset data, from legacy clean-up to ongoing governance.
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