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Predii is purpose built to solve repair and maintenance problems rapidly. The industry standard formula of complaint, cause, correction, is the backbone of any fault scenario. Predii augments your team at each step along this path – interpreting complaints (whether human generated or machine diagnostic derived) to discover the relevant parts, systems and observable symptoms. Predii finds the most likely root cause based on deep historical data analysis, and then recommends the exact repair strategy to get the equipment running with maximum efficiency, in minimal time.

In a connected enterprise, the data being generated by machinery will also be used to detect and resolve issues before they become critical. Using available sensors to monitor for anomalies or pre-error conditions, Predii can flag issues and take action to resolve them before they cause downtime. Maintenance teams can be prepared with the right knowledge, parts and tools in advance of critical maintenance windows, so that issues are resolved the first time.


When equipment is connected to the IoT, it communicates every potential issue and inefficiency that equipment will ever experience. Predii can work with you to interpret these signals and act on them quickly help keeps your equipment running at 100% capacity.

Input: Connected sensors, maintenance schedules, equipment ontology

Output: Preventative maintenance plans, pre-emptive alerts, parts/labor recommendations



When an issue is reported, it's important to respond quickly with the right fix required to minimize downtime. With Predii, your technicians can be enhanced with the expertise of all the specialists who came before them, simply by giving them access to the Predii knowledge base, created from your own historical service data.

Inputs: Historical service data, OEM service manuals

Outputs: Custom repair strategies, parts/labor operations, logistics planning, repair content search & highlighting

Ben Johnson

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Ben Johnson
Director of Products, Snap-on