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.
In the world of cost-competitive steel market, our client managed to improve fuel rate and throughput by real time Nut Coke tracking, resulting in sustainable steel production.
Nestled within the global steel industry, a substantial player emerges, operating a significant steel plant. This facility, strategically nested in the heart of steel production, is a testament to the fusion of productivity and a commitment to sustainable practices. The plant also specializes in producing flat and long products through its advanced Blast Furnace (BF) and Basic Oxygen Furnace (BOF). In the steel production process, the Coke team faced a recurring challenge of accidentally passing Nut Coke instead of BF (Blast Furnace) Coke on the charging conveyor. The reliance on manual sizing and the low frequency of sampling contributed to the destabilization of the Blast Furnace.
Our client confronted significant operational challenges, with the Coke team inadvertently passing Nut Coke instead of BF Coke onto the charging conveyor, resulting in frequent destabilization of the Blast Furnace (BF).
The implementation of our patented SaaS, Ripik Vision, marks an effective step in optimizing steel production. Our Computer Vision AI Platform, utilizing advanced Object Detection in Computer Vision, enables us to address major challenges related to Coke sizing. This technology provides real-time alerts for size fractions, ensuring operational efficiency. By proactively alerting operators to size fractions less than 30mm, it avoids disruptions in the Coke charging procedure. This precision in sizing contributes to an improved Coke rate, optimizing the Blast Furnace’s performance and overall throughput.
The real-time insights provided by Ripik Vision, led to a notable enhancement in the stability of the Blast Furnace (BF). Leveraging Computer Vision Image Processing, Ripik Vision effectively addressed sizing challenges, resulting in improved fuel rates and increased throughput.
By preventing destabilization incidents and optimizing the Coke rate, the combined effect resulted in a transformative impact, achieving about a 3% reduction in fuel rate. This advancement highlights the efficacy of our technology in revolutionizing steel production processes.
By proactively alerting operators to size fractions less than 30mm, it avoids disruptions in the Coke charging procedure. This precision in sizing contributes to an improved Coke rate, optimizing the Blast Furnace’s performance and overall throughput.
“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. ”
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