Use Case
Explore how AI transformation is reshaping industries through real-world case studies.
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Manufacturing Predictive Operations
Industrial Motor Anomaly Detection: Data System Ready in Under a Week
A stable data collection system and scalable AI platform(MLOps) minimize production line downtime from motor failures.
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Manufacturing Optimization
Parameter Tuning Automation: 52% Faster, 20% More Accurate
Parameter tuning through data-driven simulation and reinforcement learning minimizes discrepancies between commanded and actual motion.
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Manufacturing Optimization
SMT Performance: Optimized in 8 Weeks
Reinforcement learning optimizes PCB component placement sequences, reducing total process time in SMT production.
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Energy Predictive Operations
Solar Power Prediction: 3,000+ Models Deployed Across 787 Plants
MakinaRocks built an MLOps environment using ensemble models to improve prediction accuracy, unify operations across 787 power plants, and rapidly retrain over 3,000 models.
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Battery Predictive Operations
EV Battery Life Prediction: 4.6X Model Performance Boost
By analyzing battery management system data and EV driving patterns, MakinaRocks enables accurate prediction of lithium battery lifespan and continuous lifecycle monitoring.
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Manufacturing Optimization Robotics
Robot Offline Programming Automation: From 6 Weeks to Days
AI-driven multi-robot welding automation optimizes path planning and task execution, enhancing safety and cutting both operation and production time.
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Chemical Predictive Operations
Emergency Shutdown Prediction: Anticipating Events 7 Days in Advance
MakinaRocks applied a deep learning–based anomaly detection model to a polypropylene (PP) reactor to predict emergency shutdowns and identify abnormal operation patterns.
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Automotive Optimization
EV HVAC Control Optimization: Energy Use Cut by 10%
Powered by real EV data, our AI simulator mirrors real driving conditions and leverages a lightweight model to accelerate computation and optimize energy efficiency.
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Automotive Predictive Operations Robotics
Industrial Robot Anomaly Detection: Failures Predicted 5 Days Ahead
An MLOps environment enables anomaly detection across 10,000+ robotic arms, predicting failures and minimizing downtime in automotive assembly.
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Optimization Semiconductor
Chip Design Automation: 85% Faster Execution, 49% Better Performance
AI-driven simulators and RL agents automate ASIC component placement for faster, higher-performing designs.
