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Thanks to NISHRAM, we reduced unplanned downtime by 34% in the first quarter. The predictive models identified equipment degradation three weeks before failure — saving over €2M in emergency repairs.

HO
Head of Operations
European Energy Company

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Trusted by operations teams across energy, utilities, and industrial sectors

47+Maintenance types automated
9Integrated platform modules
4–8 wksAverage deployment time
<60sSCADA anomaly to work order
8+On-premise AI models
100%On-premise data control