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.
Solve high impact use cases and maximize quality by identifying important parameters and sweet spot of operations.
Boost chemical production efficiency with our proprietary Computer Vision-based SaaS. Our AI algorithm ensures precise raw material additions, real-time process recipe tracking, and seamless monitoring of shop-floor equipment, empowering teams for optimal yield and productivity.
Our data-driven approach optimizes processes for top-tier chemical manufacturers, delivering remarkable results.
Perform visual anomaly detection and identify steam leakages with Ripik Vision.
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Real-time monitoring and tracking helps in power improvement at various stages of manufacturing
We empower swift responses through our cutting-edge SaaS that ensures safety in unforeseen events.
Our high-impact, advanced solutions help transform Chemical industry operations and overcome critical manufacturing challenges.
Our proprietary AI-based SaaS revolutionizes Chemical manufacturing operations. Experience unparalleled production planning with our optimizer, ensuring accurate scheduling and optimal manpower distribution, all while effortlessly navigating complex, multivariate constraints.
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…
