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 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'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.
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 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
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 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 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
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.
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.
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 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 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…
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
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 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.
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
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, 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
Insights and perspectives from Ripik.ai's thought leaders
AI-Driven Productivity Tracking involves real-time monitoring of workflows, resources, machine performance,...
IR monitoring combined with vision systems are trained to identify complex patterns and subtle thermal...
Effective manufacturing process monitoring ensures operational excellence, product consistency, and proactive...
Machine health monitoring empowers maintenance teams to transition from reactive maintenance to condition-based...
As businesses scale and diversify, the demand for greater efficiency, minimal downtime, and enhanced...
AI in the mining industry is not merely a trend; it’s a necessity. With vast operations often spread...
Discover how AI is transforming plant uptime in manufacturing by enabling predictive maintenance, real-time...
Agentic AI in manufacturing operations are designed, executed, and optimized. These systems act autonomously,...
Root Mean Square Error (RMSE) is a widely used metric that measures the average magnitude of prediction...
The blast furnaces steelmaking process is a complex and requires precise control over various parameters....
AI platforms for anomaly detection are transforming a wide range of industries by leveraging advanced...
The role of AI in enhancing energy efficiency in cement plants particularly in fuel Consumption is significant...
Vision AI agent operate through a structured pipeline involving perception, analysis, decision-making,...
Particle size analysis plays a critical role in heavy industries such as cement, mining, steel, and power...
Conveyor volume scanners are revolutionizing stockpile management by providing precise, real-time data...
AI agents are revolutionizing businesses by automating processes, improving decision-making, and optimizing...
Vision AI is an advanced artificial intelligence-powered system that uses computer vision to interpret...
Automating stockpile volume measurement with Vision AI and LiDAR for industries such as mining, cement,...
Agentic AI applications in manufacturing can optimize production lines, predict equipment failures, and...
As industries continue to evolve and demand higher levels of productivity, the adoption of computer vision...
Accurate raw material moisture analysis plays a pivotal role in industrial operations, directly influencing...
Eliminating downtime in cement plants is no longer a distant goal but a tangible reality with the adoption...
Optimizing cloud architectures for cost-effectiveness is the major goal of such an architecture. The...
Computer vision technology is a replica of human vision by enabling machines to "see" and analyze images...
AI is nowadays playing a pivotal role in contributing towards the reduction of the carbon footprint in...
Incorporating computer vision into factory operations will unlock several new opportunities for efficiency,...
Alternative fuels, such as Refuse-Derived Fuel (RDF), a type of solid waste, are increasingly being considered...
Discover how Vision AI, a cutting-edge technology, surpasses traditional ML models to optimize manufacturing...
Integrating AI in the cement industry is a much-needed breath of fresh air. We’re on the brink of a new...
Research by Nature claims that artificial intelligence can contribute to fulfilling 79% of the target...
The powerful combination of artificial intelligence and cutting-edge vision AI systems presents a breakthrough...
Learn how AI-driven preventive maintenance minimizes equipment downtime in heavy manufacturing. Boost...
Computer Vision AI is changing Asset Performance Management (APM) by enabling real-time monitoring and...
Coal moisture detection ensures that coal is at the right moisture level for optimal burning to enable...
Enhance Electric Arc Furnace efficiency with real-time monitoring and advanced visual analytics. Track...
The integration of Vision AI into cement kiln operations presents a transformative opportunity for manufacturers...
Real-time, automated refractory monitoring is a game-changer for high-temperature industries, providing...
Computer vision is revolutionizing machine monitoring system as it is crucial for optimal performance...
With the boom of AI in the manufacturing sectors, predictive maintenance with AI has arrived as a game-changing...
Computer vision AI platforms are instrumental in these advancements, offering precise 24/7 monitoring,...
For more information on how Ripik.ai can help your organization reduce cloud compute costs and optimize...
Computer Vision AI is a transformative technology poised to redefine production monitoring systems, contributing...
Anomaly detection in manufacturing is a critical component of maintaining product quality, ensuring operational...
Computer Vision AI Platforms have emerged as a game-changer in the manufacturing sector, revolutionizing...
AI-Driven Productivity Tracking involves real-time monitoring of workflows, resources, machine performance,...
IR monitoring combined with vision systems are trained to identify complex patterns and subtle thermal...
Effective manufacturing process monitoring ensures operational excellence, product consistency, and proactive...
Machine health monitoring empowers maintenance teams to transition from reactive maintenance to condition-based...
As businesses scale and diversify, the demand for greater efficiency, minimal downtime, and enhanced...
AI in the mining industry is not merely a trend; it’s a necessity. With vast operations often spread...
Discover how AI is transforming plant uptime in manufacturing by enabling predictive maintenance, real-time...
Agentic AI in manufacturing operations are designed, executed, and optimized. These systems act autonomously,...
Root Mean Square Error (RMSE) is a widely used metric that measures the average magnitude of prediction...
The blast furnaces steelmaking process is a complex and requires precise control over various parameters....
AI platforms for anomaly detection are transforming a wide range of industries by leveraging advanced...
The role of AI in enhancing energy efficiency in cement plants particularly in fuel Consumption is significant...
Vision AI agent operate through a structured pipeline involving perception, analysis, decision-making,...
Particle size analysis plays a critical role in heavy industries such as cement, mining, steel, and power...
Conveyor volume scanners are revolutionizing stockpile management by providing precise, real-time data...
AI agents are revolutionizing businesses by automating processes, improving decision-making, and optimizing...
Vision AI is an advanced artificial intelligence-powered system that uses computer vision to interpret...
Automating stockpile volume measurement with Vision AI and LiDAR for industries such as mining, cement,...
Agentic AI applications in manufacturing can optimize production lines, predict equipment failures, and...
As industries continue to evolve and demand higher levels of productivity, the adoption of computer vision...
Accurate raw material moisture analysis plays a pivotal role in industrial operations, directly influencing...
Eliminating downtime in cement plants is no longer a distant goal but a tangible reality with the adoption...
Optimizing cloud architectures for cost-effectiveness is the major goal of such an architecture. The...
Computer vision technology is a replica of human vision by enabling machines to "see" and analyze images...
AI is nowadays playing a pivotal role in contributing towards the reduction of the carbon footprint in...
Incorporating computer vision into factory operations will unlock several new opportunities for efficiency,...
Alternative fuels, such as Refuse-Derived Fuel (RDF), a type of solid waste, are increasingly being considered...
Discover how Vision AI, a cutting-edge technology, surpasses traditional ML models to optimize manufacturing...
Integrating AI in the cement industry is a much-needed breath of fresh air. We’re on the brink of a new...
Research by Nature claims that artificial intelligence can contribute to fulfilling 79% of the target...
The powerful combination of artificial intelligence and cutting-edge vision AI systems presents a breakthrough...
Learn how AI-driven preventive maintenance minimizes equipment downtime in heavy manufacturing. Boost...
Computer Vision AI is changing Asset Performance Management (APM) by enabling real-time monitoring and...
Coal moisture detection ensures that coal is at the right moisture level for optimal burning to enable...
Enhance Electric Arc Furnace efficiency with real-time monitoring and advanced visual analytics. Track...
The integration of Vision AI into cement kiln operations presents a transformative opportunity for manufacturers...
Real-time, automated refractory monitoring is a game-changer for high-temperature industries, providing...
Computer vision is revolutionizing machine monitoring system as it is crucial for optimal performance...
With the boom of AI in the manufacturing sectors, predictive maintenance with AI has arrived as a game-changing...
Computer vision AI platforms are instrumental in these advancements, offering precise 24/7 monitoring,...
For more information on how Ripik.ai can help your organization reduce cloud compute costs and optimize...
Computer Vision AI is a transformative technology poised to redefine production monitoring systems, contributing...
Anomaly detection in manufacturing is a critical component of maintaining product quality, ensuring operational...
Computer Vision AI Platforms have emerged as a game-changer in the manufacturing sector, revolutionizing...
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