Shortlisting predictive maintenance software companies by feature comparison produces a list that all look alike, because the marketing converges long before the products do. The questions that actually separate them are about what the vendor needs from you, since predictive software is only as good as the measurements it is fed and the interpretation applied to its output.
What does it need from you, and do you have it
The first question is what data the system requires and where that data comes from. Some products expect sensors they supply, some expect data your control system already collects, and some expect readings entered by hand. Each implies a completely different cost and a completely different chance of the programme surviving a year. A site with no instrumentation and no budget for it should establish that early, because the answer determines whether this category is available at all right now.
Baselines, and how long before it says anything
Predictive systems need a period of normal operation to learn from before their output means much, and vendors vary enormously in how honestly they describe that. Ask directly how long after installation the alerts become trustworthy, what happens if the asset is not healthy during that period, and what the false-alarm rate looks like in the first months. A tool that produces alarms nobody trusts in month two will be ignored by month four, and that outcome is set by the baseline period rather than by the algorithm.
Who reads the output
The most consistently underestimated requirement is interpretation. An alert that says an asset is deviating is the start of a decision, not the end of one, and somebody has to decide whether to act, when, and what to do. Ask whether the vendor expects that person to exist on your side, provides it as a service, or assumes the software's recommendation is followed. All three are viable, they cost very differently, and finding out after purchase is how predictive programmes end up as dashboards nobody opens.
Questions people ask about predictive maintenance software companies
How should I compare predictive maintenance vendors?
By what they need from you: what data, from which sensors or systems, and entered by whom. That determines cost and survival far more than any feature comparison.
How long before predictive alerts are trustworthy?
Vendors vary and should be asked directly. The system needs a baseline period of normal operation, and alarms nobody trusts in month two are ignored by month four.
Who interprets the alerts?
Somebody has to decide whether to act and when. Ask whether the vendor expects that person on your side, provides it as a service, or assumes its recommendation is followed.