PRINCETON, N.J. -- Verdantis announced the global launch of MRO360, a purpose-built AI platform that transforms how asset-intensive organizations manage their MRO spare parts inventory. Designed for manufacturers, oil and gas operators, mining companies, utilities, and other industrial enterprises, MRO360 deploys nine interconnected AI agents that continuously forecast demand, score parts criticality, manage obsolescence risk, calculate dynamic reorder points, helps intercompany plant transfer thereby realizing the exact dollar value of every optimization opportunity across a spare parts catalog in real time.

Unlike traditional EAM and CMMS platforms built on static rules, MRO360's agents adapt continuously as demand patterns, supplier performance, and equipment health evolve. For the first time, a maintenance planner can see which work orders are at supply risk today and what to do about it. A CFO can see a live dollar figure of releasable excess inventory.

“We have spent over twenty years working inside the data of asset-intensive industries. We know where the value lies, how supplier relationships are managed by gut feel rather than predictive intelligence and how maintenance plans do not take in account what is on the shelf. MRO360 is our answer to that. It is the foundation layer of something much larger- the industry’s first Enterprise Asset Management solution, where every capability is designed as an intelligent agent that learns and adapts. This is where that journey begins.”
- Kumar Gaurav Gupta, CEO, Verdantis

MRO360 is the foundation of a broader and deliberate vision. Verdantis is building toward what the industry has never had: a fully AI-native Enterprise Asset Management solution spanning all six EAM domains- from spare parts intelligence to asset lifecycle management, maintenance execution, workforce planning, procurement, and compliance, each module an AI agent built from the ground up. MRO360 establishes the core. The roadmap ahead extends that intelligence progressively across the full asset management lifecycle.