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Predictive maintenance for industrial equipment
Zylo Labs · Manufacturing / Industrial Automation
−35% Downtime
+40% Maintenance efficiency
−30% Operational cost
Challenge
Significant equipment downtime from unpredictable failures was driving up production and maintenance costs. The goal was AI-driven predictive maintenance to improve reliability and reduce cost.
Solution
We deployed a predictive-maintenance system using AI and generative models to forecast issues, interpret technician feedback, and deliver step-by-step maintenance instructions in real time. Machinery manuals were digitized to JSON for metadata indexing; a RAG layer (BM25 + GPT-4) produced real-time repair instructions; BERT/RoBERTa interpreted worker input.