Collect more data
Inspections add photos and a wear rating for each part to the maintenance and process data you already keep.
Reduce unnecessary inspections by setting intervals from how each pump wears, with Predict's engineers helping you plan shutdowns around the pumps that are actually worn.
30-minute live demo
Most sites already collect inspection, maintenance and process data on every pump, but little of it feeds back into when each pump is inspected.
| Today | With |
|---|---|
| Pumps are inspected on a fixed interval whatever their condition, and many inspections end with no parts replaced, costing crew hours and shutdown time. | Each pump is inspected when its wear data shows it is due, so crew hours and shutdown time go to the pumps that need them. |
| Parts come out early because "replace if more than 50% worn" means something different to each fitter, and the wear life left in them is lost. | The crew arrives knowing which parts are likely to need replacing, with wear data behind every call. |
| Maintenance strategies are set conservatively at commissioning and only change when something fails, so pumps that never fail stay on the most cautious schedule for years. | Each pump's maintenance strategy is reassessed as new data comes in, and every inspection is targeted using all the process, maintenance and inspection data available. |
| When the plan changes, inspections get pushed out of a shutdown with no measure of the risk, and some pumps run months past their SAP strategy. | The wear data shows which pumps have the margin to move out of a shutdown, so the plan can flex without risking reliability. |
| What each inspection found is spread across contractor reports and whatever comments and photos make it into SAP, so it rarely shapes the next interval. | Every inspection is captured the same way, with photos and a wear rating for each part, and combined with your maintenance and process data into a reliable wear history for every pump. |
At a tier 1 mining company, eight critical slurry pumps moved from a fixed 26-week inspection to their own intervals, set from the wear data and signed off by the site's reliability engineers.
| Pump | Before | After |
|---|---|---|
| Pump 1 | 26 | 70 |
| Pump 2 | 26 | 68 |
| Pump 3 | 26 | 65 |
| Pump 4 | 26 | 52 |
| Pump 5 | 26 | 51 |
| Pump 6 | 26 | 48 |
| Pump 7 | 26 | 39 |
| Pump 8 | 26 | 38 |
Predict combines software that builds a wear model for every pump with engineers who help your team act on it.
Inspections add photos and a wear rating for each part to the maintenance and process data you already keep.
Wear is tracked against the part's limit, and the model sharpens with every new inspection.
See which inspections can wait, come forward or move to the next shutdown, and plan them with your team.
The platform builds up a wear model for every part, updated daily from your process data, work orders and inspection photos, and recommends the right action for each upcoming inspection.
We work closely with your maintenance and reliability teams to help collect the data, and meet with them regularly to go through the recommendations.
Cyclone feed pump
Reliability goes up, because the wear data also flags parts likely to fail before their next inspection, covers pumps with no strategy, and shows which pumps have the margin to move out of a shutdown.
No: Predict uses the process and maintenance data you already keep, plus inspection photos taken on a phone, with no sensors to fit.
An extract of your process data, maintenance history and inspection photos is enough to start, with no IT project.
To a dedicated server for your site in an Australian Azure region, never shared with other clients, with sign-in through your own Microsoft accounts.
Your engineers: the recommendations show the data and reasoning behind them, and the maintenance plan stays yours.
Start with a 30-minute demo with one of our engineers, then see what Predict finds on a few of your own pumps.
Send two or three times that suit you and we will reply with a calendar invite.
Email to book a demo