Digel vs IBM Maximo

IBM Maximo has been around for decades. Large organizations with strict regulatory requirements and thousands of assets use it for asset lifecycle tracking, compliance, and maintenance scheduling. It does that job.

Digel does a different job. Maximo gives you a database of assets and forms to manage them. Digel gives you an AI that understands your process and can investigate problems using your actual operational data.

At a glance

Getting started

Maximo is an enterprise platform. A typical deployment involves consultants, integrators, data migration projects, and training programs. That usually takes 6 to 18 months, and the total cost of ownership runs into the millions.

Digel starts with a one-day on-site discovery session. Your process gets modeled into the context graph, data sources are connected, and the system goes live within two weeks. The pilot is 30,000 NOK fixed price, with 14 days of access included.

What you actually get

Maximo tracks what maintenance was done, when it was scheduled, and what parts were used. If you want to know why a failure happened, you search through records and piece the story together yourself.

Digel does that investigation for you. When something looks off, the AI pulls sensor data, walks the context graph from symptom to likely cause, checks maintenance history, and presents its findings. You review and decide.

IT and OT in the same system

Maximo lives in the IT world. It manages assets and work orders, but it does not connect to your SCADA system, historians, or live sensor feeds.

Digel connects both. IT data (ERP, CMMS records, documents) and OT data (SCADA tags, historians, live sensors) flow into the same context graph. The AI can answer questions that span both: "What was the temperature when this work order was created?" or "Show me every maintenance event correlated with this vibration trend."

When Maximo makes sense

If you have strict regulatory compliance requirements (ISO 55000, OSHA), thousands of globally distributed assets, and an existing IBM ecosystem, Maximo is a reasonable choice. It is built for asset lifecycle management with audit trails, and it delivers on that if you have the budget and timeline.

When Digel makes sense

If you want AI that investigates problems, catches deviations in live data, and brings your team answers before they know to ask, Digel does that from week one. It can replace your existing CMMS or sit on top of Maximo and add the reasoning that Maximo does not have.