PROCESS

Automated pair of eyes

Experience the future of factory optimization with Ripik Vision. Dive into post-mortem visual analytics, experience 24/7 real-time anomaly detection, and uncover novel insights from video feeds for unmatched precision and efficiency in operations.

VALUE PROPOSITIONS

Proprietary Computer Vision Tool for enhanced efficiency and productivity

Revolutionize your operational efficiency with our patented computer vision system, specifically designed for real-time, accurate measurement of critical raw material properties like size, moisture, and grade. This unique SaaS product ensures enhanced productivity and reliability in industrial operations, optimizing performance through precise, AI-driven insights.

Experience precision in real-time detection and distribution of raw materials with Ripik Vision, ensuring optimal sizing.

Utilize patented computer vision technology to precisely determine coal feed rates and enhance efficiency through data-driven insights.

Ensure unparalleled accuracy and efficiency in quality control through advanced AI-powered visual analysis.

Proactively detect fire hazards, monitor worker activities, and oversee behavior for unparalleled protection and compliance in the workplace

Transforming Factory Operations

Choose Ripik Vision for a competitive edge

Overcome manufacturing concerns with Ripik Vision, a proprietary platform based on cutting-edge computer vision technology that converts unstructured images and video data to useful insights.

Experience unparalleled control with our patented AI algorithm, ensuring superior operational command and decision-making in kiln management.

Seamlessly integrate our plug-and-play platform for instant, efficient operational enhancement in your cement kiln processes.

Leverage our extensive pre-built model library, specifically tailored for cement kilns, for precise and efficient operational insights.

Utilize our readymade APIs for easy integration, enhancing data flow and operational efficiency in cement production.

Benefit from our comprehensive library of pre-built reports, providing detailed insights and analytics for optimized cement kiln performance.

USE CASES

Solutions for a rapidly changing world

Our solutions are powered by AI, supported with a robust back-end and extremely user-friendly UI that drives accuracy, efficacy, and adoption leading to value creation for our clients.

Steel Industry
  • Kiln flame monitoring and energy optimization in cement kilns
  • Coal particle sizing
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Cement Industry
  • Coal particle sizing
  • Kiln flame monitoring and energy optimization in cement kilns
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Power Industry
  • Kiln flame monitoring and energy optimization in cement kilns
  • Coal particle sizing
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Aluminum Industry
  • Coal particle sizing
  • Kiln flame monitoring and energy optimization in cement kilns
  • Coal particle sizing
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Other Industries
  • Kiln flame monitoring and energy optimization in cement kilns
  • Coal particle sizing
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TESTIMONIALS

Don’t take our words

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 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.

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.

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.Al has performed exceedingly well and made a tool that would be extremely beneficial to Tata Steel. The team has a great understanding of the operations of a Steel plant and leverages this knowledge combined with excellent data science and digital knowledge to build tools that improve Productivity and efficiency of operations.Ripik.Al was offered the contract given Pinak, Arunabh, and Navneet's prior work of leading Digital Transformation at Tata Steel as part of McKinsey. They built and deployed models across the entire plant improving productivity, efficiency, and sustainability. Their Al-ML models deplayed in Blast Furnace were one-of-a-kind and helped Tata Steel Kalinganagar become the first WEF 14.0 Lighthouse from India. We look forward to deepening our collaboration with the Ripik team in deploying more digital solutions across the plant.

Discover deeper insights, drive smarter decisions with Ripik Vision