We built an Agentic AI platform that generates your maintenance strategy, diagnoses every equipment alert, and creates work orders automatically — so your engineers can focus on preventing failures, not managing paperwork.
Industrial maintenance is shattered into three isolated silos. You build rigorous RCM strategies that live in dead spreadsheets. Your sensors trigger endless, context-free alerts that drown your team in noise. And your technicians are dispatched with zero execution plan, treating every failure like it's happening for the first time.
We realized that fixing just one of these silos wasn't enough. We didn't build a tool to make RCM faster. We built an engine to unify the trinity: Strategy, Intelligence, and Execution. A perfectly closed loop where strategy dictates monitoring, and monitoring instantly triggers flawlessly planned execution.
We don't automate for the sake of it. Every model we ship saves a real engineer hours of tedious analysis — hours they can spend on the problems that actually require human judgment.
AI generates. Your engineers approve. That isn't a limitation — it's the architecture. Every AndonEAM strategy carries your team's signature before it becomes a work order.
Your asset data is sensitive industrial IP. We encrypt everything in transit and at rest, isolate every tenant, and never use your operational data to train shared models.
Monitoring without context is noise. A strategy that never reaches the plant floor is worthless. We close the loop — every insight automatically wired to real-world, engineer-approved action.
Upload your asset documentation — manuals, P&IDs, maintenance history, datasheets. AndonEAM's AI generates a complete FMEA, consequence categorization, and maintenance task selection in hours. Your engineers review via a structured approval workflow.
Connect your operational data and let AndonEAM continuously monitor asset health indicators, flag anomalies, and surface early warning signals — before they become failures.
Approved strategies are automatically converted into structured maintenance work orders compatible with SAP PM, Maximo, Hexagon EAM, Oracle eAM, and any CMMS with REST API or webhook support.
We saw the world's best reliability engineers drowning in silos. They spent months building RCM strategies, only to see them rot in spreadsheets. Operators were bombarded by alerts they couldn't diagnose. Technicians were dispatched with no execution plan, treating every failure like it was happening for the first time.
Instead of building another CMMS or standalone RCM tool, we went deeper. We asked: what if one AI engine could handle the entire analytical burden — from generating the strategy, to diagnosing the live alert, to writing the execution plan? What would that unlock for industrial operations globally?
We are here — crafting every workflow, every AI diagnostic, and every approval screen to meet the uncompromising standards of the engineers who will rely on the closed loop. Every pixel, every prompt, and every data model earns its place.
AndonEAM is set to become the autonomous control center for industrial reliability. The platform where every asset-intensive company — from a single plant to a global portfolio — runs its complete, end-to-end maintenance lifecycle. We are just getting started.
Extraction equipment, conveyors, crushing, and material handling systems.
Refineries, pipelines, offshore platforms, and petrochemical processing.
Power generation, substations, water treatment, and distribution networks.
Continuous processing, reactors, separation units, and batch production.
Production lines, CNC systems, packaging, and complex discrete manufacturing.
Experience the first autonomous engine that connects your reliability strategy directly to the plant floor.