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.
Move beyond number crunching and reduce process variability with automated pair of eyes to achieve efficiency and sustainability
Ripik.ai is an Applied AI company developing computer vision agents—pair of automated eyes for industries like steel, cement, and chemicals. These AI-driven agents provide 24/7 monitoring with 95%+ accuracy, enabling real-time decision-making while eliminating human error and inefficiencies.


Our solutions cover material, process, and equipment monitoring, driving higher throughput, improved energy efficiency, and enhanced quality, delivering direct and measurable gains across industrial operations.
Discover firsthand experiences of our products
and how Vision AI transforms your operations.
Ripik AI agents are your 24×7 automated pair of eyes — detecting 10× more anomalies with 95%+ accuracy and zero false alerts. With real-time alerts and autonomous workflows, accelerate action and achieve optimal process control.
Deploy hundreds of Vision AI agents with a single click on the Ripik Vision Platform — enabling seamless scale, robust security, and rapid deployment.
Our solutions are powered by Vision AI, supported by a robust back-end and extremely user-friendly UI that drives accuracy, efficacy, and adoption with personalized vision AI agents, leading to value creation for our clients.
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 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 …
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. The team has made significant progress on all three use cases, and we are pleased with their good effort. The Ripik.ai team was able to understand the complex Blast Furnace process and develop customized solutions to address our specific needs. Their expertise and knowledge in the field of data science have been invaluable in helping us optimize our plant operations and improve overall efficiency. We are excited to continue our partnership with Ripik.ai and are confident that their contributions will be invaluable to our continued growth and success. I highly recommend Ripik.ai to any organization looking for a reliable and expert analytics partner.
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.
I am delighted to write this testimonial about Ripik.ai, Grasim’s analytics partner since December 2021. The Ripik.ai team has completed three machine learning/data science use cases in our Harihar plant and one-use case in our Kharach plant. We have been thoroughly impressed with the depth of data sciences, machine learning, and problem-solving skills demonstrated by the team.The Ripik.ai team was able to understand our complex business requirements and develop customized solutions that addressed our specific needs. Their expertise and knowledge in the field of data science have been invaluable in helping us optimize our plant operations and improve overall efficiency. Our collaboration with Ripik.ai has been seamless, and their team has demonstrated an exceptional level of professionalism, expertise, and dedication to our project. We are excited to continue our partnership with Ripik.ai and are confident that their contributions will be invaluable to our continued growth and success. I highly recommend Ripik.ai to any organization looking for a reliable and expert analytics partner.
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
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
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 …
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.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 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. The team has made significant progress on all three use cases, and we are pleased with their good effort. The Ripik.ai team was able to understand the complex Blast Furnace process and develop customized solutions to address our specific needs. Their expertise and knowledge in the field of data science have been invaluable in helping us optimize our plant operations and improve overall efficiency. We are excited to continue our partnership with Ripik.ai and are confident that their contributions will be invaluable to our continued growth and success. I highly recommend Ripik.ai to any organization looking for a reliable and expert analytics partner.
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…
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.
I am delighted to write this testimonial about Ripik.ai, Grasim’s analytics partner since December 2021. The Ripik.ai team has completed three machine learning/data science use cases in our Harihar plant and one-use case in our Kharach plant. We have been thoroughly impressed with the depth of data sciences, machine learning, and problem-solving skills demonstrated by the team.The Ripik.ai team was able to understand our complex business requirements and develop customized solutions that addressed our specific needs. Their expertise and knowledge in the field of data science have been invaluable in helping us optimize our plant operations and improve overall efficiency. Our collaboration with Ripik.ai has been seamless, and their team has demonstrated an exceptional level of professionalism, expertise, and dedication to our project. We are excited to continue our partnership with Ripik.ai and are confident that their contributions will be invaluable to our continued growth and success. I highly recommend Ripik.ai to any organization looking for a reliable and expert analytics partner.
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…
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
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.
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.
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 …
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
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
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. The team has made significant progress on all three use cases, and we are pleased with their good effort. The Ripik.ai team was able to understand the complex Blast Furnace process and develop customized solutions to address our specific needs. Their expertise and knowledge in the field of data science have been invaluable in helping us optimize our plant operations and improve overall efficiency. We are excited to continue our partnership with Ripik.ai and are confident that their contributions will be invaluable to our continued growth and success. I highly recommend Ripik.ai to any organization looking for a reliable and expert analytics partner.
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…
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, Grasim’s analytics partner since December 2021. The Ripik.ai team has completed three machine learning/data science use cases in our Harihar plant and one-use case in our Kharach plant. We have been thoroughly impressed with the depth of data sciences, machine learning, and problem-solving skills demonstrated by the team.The Ripik.ai team was able to understand our complex business requirements and develop customized solutions that addressed our specific needs. Their expertise and knowledge in the field of data science have been invaluable in helping us optimize our plant operations and improve overall efficiency. Our collaboration with Ripik.ai has been seamless, and their team has demonstrated an exceptional level of professionalism, expertise, and dedication to our project. We are excited to continue our partnership with Ripik.ai and are confident that their contributions will be invaluable to our continued growth and success. I highly recommend Ripik.ai to any organization looking for a reliable and expert analytics partner.
Insights and perspectives from Ripik.ai's thought leaders
Why Calorific Value Estimation of Alternate Fuels Matters in Cement Production Introduction Cement manufacturing...
In heavy industries such as cement, steel, and mining, where conveyor systems are the backbone of material...
AI is transforming cement raw material management by monitoring quality, moisture, and composition in...
Computer vision is a branch of artificial intelligence (AI) that enables machines to interpret, analyze,...
AI Applications in Manufacturing: Improving Efficiency, Quality, and Safety. Introduction The manufacturing...
AI-Driven Productivity Tracking involves real-time monitoring of workflows, resources, machine performance,...
Why Calorific Value Estimation of Alternate Fuels Matters in Cement Production Introduction Cement manufacturing...
In heavy industries such as cement, steel, and mining, where conveyor systems are the backbone of material...
AI is transforming cement raw material management by monitoring quality, moisture, and composition in...
Computer vision is a branch of artificial intelligence (AI) that enables machines to interpret, analyze,...
AI Applications in Manufacturing: Improving Efficiency, Quality, and Safety. Introduction The manufacturing...
AI-Driven Productivity Tracking involves real-time monitoring of workflows, resources, machine performance,...
