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.
Ripik.ai has been the analytics partner of Godrej & Boyce 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. Pinak and his team have worked with us closely on these manufacturing use cases. They have an unparalleled understanding of the process and can bring impact very quickly
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 …
Meet our elite squad - some of the brightest minds from Google, MIT, and IITs, pioneering the future at Ripik.AI.
Choose Ripik.AI for innovative Computer Vision AI Solution that drive operational excellence in manufacturing industries.
Join Ripik.AI where learning is more impactful, diversity inspires, and work-life harmony thrives.
Explore the latest breakthroughs, partnerships, and global recognitions shaping Ripik.AI's impact on industrial AI
Discover Ripik AI's latest event appearances showcasing cutting-edge AI solutions for manufacturing.
Tackle raw material variability and environmental challenges with accurate, real-time visibility.
Transforming Cement Manufacturing Operations with Our Patented Vision AI SaaS Platform for Process Optimization
Empower operators to precisely control bath temperature and significantly reduce power usage and AIF3 consumption.
Solve high impact use cases and maximize quality by identifying important parameters and sweet spot of operations.
Revolutionizing boiler operations with patented Computer Vision for higher productivity and lower energy costs.
Unlock efficiency and optimize processes across industries with our advanced, and intelligent AI technologies.
Ripik’s Vision AI Agents are your automated pair of eyes — developing intelligent monitoring agents for engineered industrial performance.
Move beyond number crunching and reduce process variability with an automated pair of eyes—our Vision AI platform
Let us walk you through a tailored demo experience.
Tackle raw material variability and environmental challenges with accurate, real-time visibility.
Transforming Cement Manufacturing Operations with Our Patented Vision AI SaaS Platform for Process Optimization
Empower operators to precisely control bath temperature and significantly reduce power usage and AIF3 consumption.
Solve high impact use cases and maximize quality by identifying important parameters and sweet spot of operations.
Revolutionizing boiler operations with patented Computer Vision for higher productivity and lower energy costs.
Unlock efficiency and optimize processes across industries with our advanced, and intelligent AI technologies.
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.
Ripik.ai has been the analytics partner of Godrej & Boyce 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. Pinak and his team have worked with us closely on these manufacturing use cases. They have an unparalleled understanding of the process and can bring impact very quickly
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 …
Meet our elite squad - some of the brightest minds from Google, MIT, and IITs, pioneering the future at Ripik.AI.
Choose Ripik.AI for innovative Computer Vision AI Solution that drive operational excellence in manufacturing industries.
Join Ripik.AI where learning is more impactful, diversity inspires, and work-life harmony thrives.
Explore the latest breakthroughs, partnerships, and global recognitions shaping Ripik.AI's impact on industrial AI
Discover Ripik AI's latest event appearances showcasing cutting-edge AI solutions for manufacturing.
Ripik’s Vision AI Agents are your automated pair of eyes — developing intelligent monitoring agents for engineered industrial performance.
Move beyond number crunching and reduce process variability with an automated pair of eyes—our Vision AI platform
Let us walk you through a tailored demo experience.
Move beyond the limitations of traditional manual raw material size detection methods, which offer only 30-40% accuracy and lead to significant process delays. Our patented computer vision technology redefines the game, offering 24/7 real-time testing of particle size distribution.
Real-time monitoring of kiln refractory and tracking of hotspot regions on kiln refractory enhance durability, thermal efficiency, and prevent unexpected downtime. By identifying high-temperature areas early, operators can make proactive repairs and adjustments, optimizing heat distribution and improving energy efficiency in the cement industry while extending refractory life.
Kiln refractory monitoring uses IR cameras to warn of breakouts early
The kiln refractory monitoring system utilizes IR cameras to detect potential breakouts, alerting operators in advance and allowing them to take corrective actions before issues arise.
Tracks and identifies recurring hotspot regions
Real-time thermal imaging identifies hotspots on kiln refractory linings, increasing refractory lifespan by 30% and minimizing unplanned downtime.
Real-time alerts for recurring hotspots in certain regions.​
Real-time alerts for deviations or recurring hotspots in kiln refractory enable swift action, reducing downtime in cement plants.
Kiln images stored for postmortem analytics access.
Historical video feeds store kiln images, enabling access for postmortem analytics and detailed performance reviews.
Reports Based on Visual Data
Ripik's patented algorithm generates insightful reports on a dashboard, enhancing overall cement asset performance and optimizing operations.
Elevate product quality, streamline monitoring, and achieve flawless sorting with SizeSense. Slash energy use, cut emissions, and turn process instability into predictable profitability.
By catching particle size anomalies early, SizeSense allows operators to take early action, reducing unnecessary energy consumption and fuel wastage during later processing.​
Real-time alerts for large particle sizes, enable proactive intervention before the material causes chute clogging or belt damage, minimizing breakdowns and unplanned stoppages.​
By stabilizing raw material input conditions, it helps maintain uniform process parameters, resulting in more consistent output and fewer quality deviations.​
Size distribution data is integrated with control systems (e.g., DCS/SCADA), allowing automatic adjustments to crushers / screens and material routing changes, enhancing overall plant efficiency.​
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.
A powerful suite of intelligent agents working in sync to transform manufacturing with speed, precision, and autonomy.
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