Digel vs UpKeep
Compare Digel and UpKeep for maintenance management. AI-native proactive maintenance vs modern cloud CMMS.
UpKeep is a modern, cloud-based CMMS with a clean interface and good mobile support. For teams moving away from spreadsheets or legacy systems, it is a real step up.
Digel is a different category of tool. It connects your factory data into a context graph and uses AI agents to detect issues, investigate causes, and tell your team what needs attention. It also includes full CMMS capabilities, so you do not need to run two systems.
At a glance
| Feature | Digel | UpKeep |
|---|---|---|
| AI-powered root cause analysis | ||
| Industrial context graph | ||
| Proactive issue detection | ||
| CMMS / work orders | ||
| Preventive maintenance scheduling | ||
| Spare parts management | ||
| Mobile support | ||
| Connects to SCADA / sensors | ||
| Natural language queries | ||
| Automated reporting | ||
| Tribal knowledge capture | ||
| Condition-based maintenance |
What happens when something fails
UpKeep tracks work orders well. You create them, assign them, track completion, and manage inventory. But when something fails, you still need to figure out why on your own.
With Digel, the AI does that investigation. When a pump starts vibrating more than usual, it checks the maintenance history, compares the pattern to similar failures on other equipment, and looks at what changed recently. You review the findings and decide what to do.
One system or two
UpKeep is a standalone CMMS. It manages maintenance data, but it does not connect to your SCADA system, historians, or live sensor feeds. Maintenance lives in one place, operational data in another.
Digel puts everything in one context graph. Maintenance history, sensor data, process documentation, operator notes, equipment relationships. The AI reasons across all of it. "Show me every time this motor exceeded 80 degrees and whether there was a maintenance event afterward" is a single question.
Schedule-based or condition-based
UpKeep supports preventive maintenance on schedules, but it does not monitor live data to catch problems early. You set a schedule, follow it, and hope the intervals are right.
Digel watches your connected data sources continuously. When a deviation pattern emerges, the system investigates and puts it in Triage. You maintain based on actual condition.
When UpKeep makes sense
If you need a simple, mobile-first CMMS for managing work orders and preventive maintenance, and you do not need AI analysis or live sensor integration, UpKeep is a good choice.
When Digel makes sense
If you want to understand why failures happen, catch problems early using live data, and build institutional knowledge that stays when people leave, Digel does that. It includes the CMMS basics too, so you do not need a separate system.
Ready to see the difference?
Book a 30-minute demo and see how Digel compares to UpKeep on your data.