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.
Real-time camera intelligence to monitor materials, equipment, and processes, driving efficiency and consistency in industrial operations.
Hosts and manages hundreds of Vision AI Agents, enabling you to customize, deploy, and scale real-time monitoring solutions instantly across operations.
Let us walk you through a tailored demo experience.
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.
Real-time camera intelligence to monitor materials, equipment, and processes, driving efficiency and consistency in industrial operations.
Hosts and manages hundreds of Vision AI Agents, enabling you to customize, deploy, and scale real-time monitoring solutions instantly across operations.
Let us walk you through a tailored demo experience.
Ripik.AI’s solution propels cost-control for this Construction titan by saving Rs. 2Cr+ via optimization of underutilized assets.
This company, a major force in engineering and construction industry, has a broad portfolio that includes infrastructure as supreme. With a vast portfolio spanning infrastructure, power, hydrocarbons, and more, the company continues to play a pivotal role in shaping and transforming industries.
EPC giants face challenges with certain assets that are currently underutilized, operating at a capacity significantly below the potential they own. This issue often results in suboptimal resource allocation and can impact overall production efficiency. Identifying underutilized assets is a manual and time-consuming process, leading to delays in corrective actions. Implementing a systematic and real-time approach to monitor and optimize asset utilization could result in significant improvements for the company’s overall performance and cost-effectiveness
The challenges faced by the Aerospace component manufacturing facility head were multifaceted, as the firm majorly depended on welding for crucial joints and prioritized the assurance of defect-free products. While many welding processes are automated for precision, the inspection phase remains manual, leading to time-consuming practices and increased cycle time in the Weld Shop. This hinders overall efficiency and workflow bottlenecks.
Ripik.AI’s solution offers real-time identification of underutilized assets by tracking movements such as dehiring, redeploying, and hiring. The tool utilizes statistical analysis to provide live recommendations on optimal asset movement strategies. Constructive daily email alerts ensure swift action on these recommendations leading to overall control of the process.
The implementation of Ripik.AI’s solution has led to substantial improvements, with over 80+ approved AI- contributing to projected savings exceeding Rs. 2 Crores annually. The tool’s real-time identification and proactive recommendations have not only optimized asset utilization but also streamlined corrective actions, demonstrating a tangible positive impact on the company’s operations and cost efficiency.
