We integrated a similar solution using predictive maintenance machine learning with SPD Technology. They helped us define the problem in business terms first, which ensured the ML models were not just technically sound but actually useful for our clients. The key was selecting the right KPIs and building explainable models so we could justify alerts. Their expertise in time-series data and scalable deployment helped us launch faster. We also appreciated the way they handled edge computing requirements to reduce latency. Overall, they helped us move from raw data to real value.