Solving Real Problems. Delivering Measurable Impact.

Achieved 70% Reduction in downtime of conveyor failures with Ripik AI conveyor belt monitoring system. This ensured smoother operations, minimized downtime, and delivered significant cost savings.

Manual inspections frequently overlooked early signs of refractory damage, resulting in unplanned downtime. By contrast, AI-driven monitoring enables timely detection of wear, cutting downtime by 50% and enhancing operational reliability.

Reducing inconsistencies in calorific values through AFR monitoring optimizes combustion efficiency, minimizes equipment damage, and lowers energy consumption.

Achieved an 82% reduction in crusher blockages and a 20% decrease in unwanted stoppages in cement crusher operations by detecting oversized rocks in real time. This led to smoother operations, reduced downtime, and substantial cost savings.

The Flare Stack Monitoring System delivered over 90% measurement accuracy, replacing manual judgment with data-driven insights. By providing real-time alerts and actionable insights, it empowered faster decision-making. Generating 650+ alerts in one month, it achieved a 5-10% reduction in gas flaring, enhancing efficiency and environmental outcomes.

Ripik AI’s Ladle Activity Tracker enhanced ladle operations in steel plants with comprehensive real-time monitoring, providing insights into ladle movements and automated controls that halt crane operations during safety violations, achieving a 50% reduction in non-compliant ladle lifting.

Ripik AI’s material sizing solution achieved 95% accuracy, significantly enhancing raw material monitoring and increasing sampling frequency by 500x. This eliminated the 8-hour delay in sampling and reporting, enabling real-time data and instant alerts.

Ripik AI’s Volumetric Estimation using LIDAR has transformed stockpile management, achieving over 95% measurement accuracy, eliminating 100% of safety hazards, and saving over 40 man-days annually, driving efficiency, safety, and precision in operations.

In the world of cost-competitive steel market, our client managed to improve fuel rate and throughput by real time Nut Coke tracking, resulting in sustainable steel production.

See how Ripik.AI’s real-time asset monitoring solution transformed a leading EPC company’s operation by identifying and dehiring underutilized assets efficiently.

Discover how an Aerospace component manufacturer utilized Vision AI for welding inspections to automate their welding shops and achieved a 50% reduction in quality defects.

With Ripik Vision at the helm, our client witnessed a remarkable 2% yield boost, a notable 10% improvement in throughput, and an impressive 15% reduction in chemical consumption.

The premier Aluminum manufacturer achieved a milestone by successfully reducing AlF3 consumption in their Potline by an impressive 20%.

Unveil the success story of an Indian Cement titan overcoming fuel challenges with our advanced Vision AI technology for optimized kiln health for minimizing downtime situations.

See how an accomplished Indian Steel Company transformed the steel production with our Cognitive and Vision AI based technology designed to efficiently handle variations in raw materials and produce steel at low-cost sustainably.

India’s leading Power plant achieved operational excellence by implementing Vision AI-based coal grading, enhancing boiler efficiency and reliability for successful and profitable operations.