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.
Unlock unmatched results in cement manufacturing efficiency with Ripik Vision. Harness our live camera feed and patented Computer Vision algorithm for continuous kiln health assessment.
Automate finished goods inspection and improve quality control in cement industry with our proprietary, expert-driven computer vision platform for real-time precision.
Unlock efficiency, reduce emissions, and enhance process control with Ripik AI’s advanced computer vision and machine learning solutions tailored for cement manufacturing.
Our solution tackles inefficient coal consumption, optimizes raw material mixes, and addresses carbon footprint reduction in cement industry. Benefit from 24/7 optimal process control, early warnings, corrective actions, and comprehensive post-mortem analysis, ensuring you stay ahead in this competitive landscape.
Our patented SaaS product helps improve overall savings in coal feed rate.
We empower cement companies through advanced kiln and boiler optimization.
Our computer vision system enables timely process control at coal handling to manage size variations.
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We help improve process stability in the boiler and reduce unburnt carbon in ash.
Our AI tool offers better visibility into the kiln conditions for prevention of jamming.
See how leading companies across steel, cement, oil & gas, energy, automotive, chemicals, pharmaceuticals, FMCG, and other industries are transforming their operations with Ripik AI’s Vision AI solutions—driving real-time insights, enhanced safety, and intelligent process optimizations across the industrial landscape
Achieved 70% Reduction in downtime of conveyor failures with Ripik AI conveyor belt monitoring system....
Manual inspections frequently overlooked early signs of refractory damage, resulting in unplanned downtime....
Reducing inconsistencies in calorific values through AFR monitoring optimizes combustion efficiency,...
Achieved an 82% reduction in crusher blockages and a 20% decrease in unwanted stoppages in cement crusher...
The Flare Stack Monitoring System delivered over 90% measurement accuracy, replacing manual judgment...
Ripik AI's Ladle Activity Tracker enhanced ladle operations in steel plants with comprehensive real-time...
Ripik AI's material sizing solution achieved 95% accuracy, significantly enhancing raw material monitoring...
Ripik AI's Volumetric Estimation using LIDAR has transformed stockpile management, achieving over 95%...
In the world of cost-competitive steel market, our client managed to improve fuel rate and throughput...
See how Ripik.AI's real-time asset monitoring solution transformed a leading EPC company's operation...
Ripik.ai has been associated with IMFA since Jan 2023 towards implementation of Industry 4.0 in our Choudwar plant located in Odisha. They are working on two machine learning / data science use related to power and metallurgical coke consumption optimization through real-time alerts. The team has good knowledge in the areas of data science & machine learning, and their problem solving skill set is high
I have known Pinak, Arunabh and Navneet since 2017. They were part of Advanced analytics program in TSK between 2017 and 2020 and placed a crucial role in its delivery. The team worked end to end in conceptualization and delivery of the use cases across Blast Furnace, Sinter Plant and Steel Melt Shop.
I am delighted to write this testimonial about Ripik.ai, one of ESL’s analytics partner since January 2023. The Ripik.ai team is working on three use cases in our Upstream section at the Bokaro plant – Digital Twin of Blast Furnace, Burden Mix optimization in Blast Furnace and Green Mix optimization in Sinter Plant Burden Mix optimization in Blast Furnace and Green Mix …
We have been working with Ripik. Al since November 2022 with regard to the implementation of a Digital Al-based Maintenance Operating System at our Kalinganagar facility located in Orissa. They are working on 2 modules – Digitization of Stores and Spares Inventory Management and Digital Workforce Management for Maintenance Activities.
Ripik.ai has been the analytics partner to Godrej & Boyce Mfg. Ltd. since March 2022. They have been doing projects with the Interio and Aerospace businesses already and we are exploring use cases for other businesses as well. We are happy to share that work done by Ripik.ai across the use cases
Given the complexity of the scheduling process in the Pharma industry, in most companies, have seen that despite having planning software like PPDS, the scheduling happens manually. Ripik Optimus can change that.
Ripik Optimus is a solution that not only handles all Pharma constraints but also helps in capturing several on ground realities through the right set of data which was earlier not being captured by any other Scheduling tool
The software is easy to use and well designed. Ripik team provided excellent service. They were highly ambitious in addressing all questions and offering solutions to the problems we had during the implementation and testing phase…
