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Problem: Manufacturers face unpredictable equipment ...

...failures, which cause unplanned downtime. This downtime is extremely costly because it halts production, causes delays, and drives up repair costs. In industries with tight margins (e.g., automotive, consumer goods), any downtime is detrimental. PhrasIQ’s Solution: Predictive maintenance using real-time data from IoT sensors embedded in machines and equipment. InSightOS processes this sensor data to predict potential failures, offering actionable recommendations about the optimal times for maintenance before breakdowns happen. Loktak helps in curating and fine-tuning data for accurate failure predictions and building machine-learning models that evolve over time.

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