With accurate real-time monitoring of Pusher Car Turnaround Time (TAT) and human geo-fencing, the system delivered a 1–2% productivity increase while improving resource utilization and reducing operational wastage.​
The AI-powered Level Monitoring System uses infrared and optical analytics to continuously measure molten metal levels with high precision, delivering real-time visibility, automated alerts, and programmable closed-loop control to stabilize furnace operations.
Reduce Downtime in Steel Plants Predictive Furnace Monitoring to Extend Equipment Life Achieved 95% accuracy in hotspot detection
Achieved a 70% reduction in temperature-related failures with AI-powered monitoring of switchyard assets, ensuring early detection of thermal anomalies and potential equipment faults for enhanced reliability and predictive maintenance.
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.
With accurate real-time monitoring of Pusher Car Turnaround Time (TAT) and human geo-fencing, the system delivered a 1–2% productivity increase while improving resource utilization and reducing operational wastage.​
The AI-powered Level Monitoring System uses infrared and optical analytics to continuously measure molten metal levels with high precision, delivering real-time visibility, automated alerts, and programmable closed-loop control to stabilize furnace operations.
Reduce Downtime in Steel Plants Predictive Furnace Monitoring to Extend Equipment Life Achieved 95% accuracy in hotspot detection
Achieved a 70% reduction in temperature-related failures with AI-powered monitoring of switchyard assets, ensuring early detection of thermal anomalies and potential equipment faults for enhanced reliability and predictive maintenance.
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
With accurate real-time monitoring of Pusher Car Turnaround Time (TAT) and human geo-fencing, the system...
The AI-powered Level Monitoring System uses infrared and optical analytics to continuously measure molten...
Reduce Downtime in Steel Plants Predictive Furnace Monitoring to Extend Equipment Life Achieved 95% accuracy...
Achieved a 70% reduction in temperature-related failures with AI-powered monitoring of switchyard assets,...
Achieved 70% Reduction in downtime of conveyor failures with Ripik AI conveyor belt monitoring system....
Reducing inconsistencies in calorific values through AFR monitoring optimizes combustion efficiency,...
Ripik.ai team visited the site observed the chain of operations and initiated the work on customized solutions on the same. Ripik.ai team understood the assignment and developed a custom model to trigger the alerts for violation in set operating parameters. We were impressed with the depth of analysis, specific data point collected and support received on enhancing the accuracy of the detection model. Ripik.ai team had suitable expertise to help us reach next step of problem solving. The quality that stood most was their collaboration in problem solving approach with their customers and being a true solution provider. We highly recommend Ripik.ai to any organization looking for customized analytics solution provider.
We are pleased to inform you that the Coal Moisture Detection Application has proven successful in detecting the moisture content of coal particles with an accuracy of over 93%, which will benefit our operations. The real-time 24/7 monitoring capability, along with the timely alerts generated in case of any anomalies in moisture levels, has empowered our team to take swift corrective actions. Additionally, the application is expected to result in a Loss on Ignition (LOI) reduction.
Ripik.ai’s team has collaborated with us in building the data science model and application for Coke Oven Flare Stack Monitoring. Ripik’s team has demonstrated deep expertise in data science, machine learning and industrial process optimization, enabling them to quickly understand our operational complexities and deliver tailored, impactful solutions. Through our engagement, Ripik.ai has delivered impressive results on real-time Flare volume calculation with near-perfect accuracy. We commend their professional approach, responsiveness and commitment to delivering measurable outcomes. We would strongly recommend Ripik.ai to organizations looking to bring data-driven transformation to their operations.
We are pleased to share our experience working with Ripik.ai, whose team has collaborated with us since the second quarter of the year on the development of Foreign Object Detection and Raw Material Sizing models for the conveyor belts in our Blast Furnaces and Coke Oven Batteries plants at ArcelorMittal. The team has demonstrated strong expertise in data science, machine learning, and real-time vision analytics, enabling them to quickly understand the operational challenges around foreign object detection and deliver tailored, high-impact solutions. We truly appreciate their professional approach, responsiveness, and commitment to achieving measurable improvements in detection accuracy and operational safety.
The Switchyard and Rectifier Hotspot Monitoring Application is another step forward in our journey towards more optimised operations. By embedding AI-driven monitoring and predictive systems, we are increasing production efficiency and creating the foundation for scalable, technology-led operations across all our units in Rajasthan.
We have been highly satisfied with RIPIK’s technological expertise, responsiveness, and commitment to continuous improvement. Their team has demonstrated strong technical support capabilities and a proactive approach to development and optimization. We appreciate their professionalism and accessibility, and we look forward to further advancing our joint initiatives in process monitoring and digital transformation.
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 …
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
We are pleased to inform you that the Coal Moisture Detection Application has proven successful in detecting the moisture content of coal particles with an accuracy of over 93%, which will benefit our operations. The real-time 24/7 monitoring capability, along with the timely alerts generated in case of any anomalies in moisture levels, has empowered our team to take swift corrective actions. Additionally, the application is expected to result in a Loss on Ignition (LOI) reduction.
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
We are pleased to share our experience working with Ripik.ai, whose team has collaborated with us since the second quarter of the year on the development of Foreign Object Detection and Raw Material Sizing models for the conveyor belts in our Blast Furnaces and Coke Oven Batteries plants at ArcelorMittal. The team has demonstrated strong expertise in data science, machine learning, and real-time vision analytics, enabling them to quickly understand the operational challenges around foreign object detection and deliver tailored, high-impact solutions. We truly appreciate their professional approach, responsiveness, and commitment to achieving measurable improvements in detection accuracy and operational safety.
We have been highly satisfied with RIPIK’s technological expertise, responsiveness, and commitment to continuous improvement. Their team has demonstrated strong technical support capabilities and a proactive approach to development and optimization. We appreciate their professionalism and accessibility, and we look forward to further advancing our joint initiatives in process monitoring and digital transformation.
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’s team has collaborated with us in building the data science model and application for Coke Oven Flare Stack Monitoring. Ripik’s team has demonstrated deep expertise in data science, machine learning and industrial process optimization, enabling them to quickly understand our operational complexities and deliver tailored, impactful solutions. Through our engagement, Ripik.ai has delivered impressive results on real-time Flare volume calculation with near-perfect accuracy. We commend their professional approach, responsiveness and commitment to delivering measurable outcomes. We would strongly recommend Ripik.ai to organizations looking to bring data-driven transformation to their operations.
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.ai team visited the site observed the chain of operations and initiated the work on customized solutions on the same. Ripik.ai team understood the assignment and developed a custom model to trigger the alerts for violation in set operating parameters. We were impressed with the depth of analysis, specific data point collected and support received on enhancing the accuracy of the detection model. Ripik.ai team had suitable expertise to help us reach next step of problem solving. The quality that stood most was their collaboration in problem solving approach with their customers and being a true solution provider. We highly recommend Ripik.ai to any organization looking for customized analytics solution provider.
Ripik.ai team visited the site observed the chain of operations and initiated the work on customized solutions on the same. Ripik.ai team understood the assignment and developed a custom model to trigger the alerts for violation in set operating parameters. We were impressed with the depth of analysis, specific data point collected and support received on enhancing the accuracy of the detection model. Ripik.ai team had suitable expertise to help us reach next step of problem solving. The quality that stood most was their collaboration in problem solving approach with their customers and being a true solution provider. We highly recommend Ripik.ai to any organization looking for customized analytics solution provider.
We are pleased to inform you that the Coal Moisture Detection Application has proven successful in detecting the moisture content of coal particles with an accuracy of over 93%, which will benefit our operations. The real-time 24/7 monitoring capability, along with the timely alerts generated in case of any anomalies in moisture levels, has empowered our team to take swift corrective actions. Additionally, the application is expected to result in a Loss on Ignition (LOI) reduction.
Ripik.ai’s team has collaborated with us in building the data science model and application for Coke Oven Flare Stack Monitoring. Ripik’s team has demonstrated deep expertise in data science, machine learning and industrial process optimization, enabling them to quickly understand our operational complexities and deliver tailored, impactful solutions. Through our engagement, Ripik.ai has delivered impressive results on real-time Flare volume calculation with near-perfect accuracy. We commend their professional approach, responsiveness and commitment to delivering measurable outcomes. We would strongly recommend Ripik.ai to organizations looking to bring data-driven transformation to their operations.
We are pleased to share our experience working with Ripik.ai, whose team has collaborated with us since the second quarter of the year on the development of Foreign Object Detection and Raw Material Sizing models for the conveyor belts in our Blast Furnaces and Coke Oven Batteries plants at ArcelorMittal. The team has demonstrated strong expertise in data science, machine learning, and real-time vision analytics, enabling them to quickly understand the operational challenges around foreign object detection and deliver tailored, high-impact solutions. We truly appreciate their professional approach, responsiveness, and commitment to achieving measurable improvements in detection accuracy and operational safety.
The Switchyard and Rectifier Hotspot Monitoring Application is another step forward in our journey towards more optimised operations. By embedding AI-driven monitoring and predictive systems, we are increasing production efficiency and creating the foundation for scalable, technology-led operations across all our units in Rajasthan.
We have been highly satisfied with RIPIK’s technological expertise, responsiveness, and commitment to continuous improvement. Their team has demonstrated strong technical support capabilities and a proactive approach to development and optimization. We appreciate their professionalism and accessibility, and we look forward to further advancing our joint initiatives in process monitoring and digital transformation.
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 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.ai’s team has collaborated with us in building the data science model and application for Coke Oven Flare Stack Monitoring. Ripik’s team has demonstrated deep expertise in data science, machine learning and industrial process optimization, enabling them to quickly understand our operational complexities and deliver tailored, impactful solutions. Through our engagement, Ripik.ai has delivered impressive results on real-time Flare volume calculation with near-perfect accuracy. We commend their professional approach, responsiveness and commitment to delivering measurable outcomes. We would strongly recommend Ripik.ai to organizations looking to bring data-driven transformation to their operations.
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.
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 …
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
Ripik.ai team visited the site observed the chain of operations and initiated the work on customized solutions on the same. Ripik.ai team understood the assignment and developed a custom model to trigger the alerts for violation in set operating parameters. We were impressed with the depth of analysis, specific data point collected and support received on enhancing the accuracy of the detection model. Ripik.ai team had suitable expertise to help us reach next step of problem solving. The quality that stood most was their collaboration in problem solving approach with their customers and being a true solution provider. We highly recommend Ripik.ai to any organization looking for customized analytics solution provider.
Insights and perspectives from Ripik.ai's thought leaders
Discover how AI and vision analytics reduce process variability in manufacturing — cutting energy costs...
Learn how AI-driven stabilization reduces blast furnace variability by up to 70%, cuts coke rates by...
Accurate molten metal level measurement is vital for maintaining stability, safety, and quality in modern...
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...
Discover how AI and vision analytics reduce process variability in manufacturing — cutting energy costs...
Learn how AI-driven stabilization reduces blast furnace variability by up to 70%, cuts coke rates by...
Accurate molten metal level measurement is vital for maintaining stability, safety, and quality in modern...
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...
