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.
See how an accomplished Indian Steel Company transformed the steel production with our Cognitive and Vision AI based technology designed to efficiently handle variations in raw materials and produce steel at low-cost sustainably.
A formidable player in the global steel industry, this 1 million tonne steel plant focuses on producing both flat and long products through its Blast Furnace (BF) and Basic Oxygen Furnace (BFO). With a keen emphasis on cost competitiveness, the plant is acutely aware of the supercritical importance of maintaining economic viability for long-term survival in the competitive steel market.
Traditionally, coke sizing process was conducted manually with a sampling frequency of just 1/shift, effectively 3/day. Hence there was no track to find out what sort of coal is being fed throughout the shifts and how it is impacting the fuel rate and efficiency of BF. Blast Furnace (BF) operating with a fuel rate exceeding the benchmark, often exacerbated by an excess of feed due to improper input coke control. The critical factor in this scenario is the uncontrolled reaction rate of particle size, contributing to process variability. This infrequent and random sampling approach has resulted in increased costs, making it difficult for the client to survive in the cost competitive industry of Steel manufacturing.
Ripik.AI focuses on reducing operational variability through optimal process control. We implemented our patented Cognitive and Vision AI based solution Ripik Vision, capable of particle differentiation based on color, moisture and size. With the plant team interaction and first-hand process control, we swiftly delved into comprehending their requirements.
This approach empowered operators to optimize fuel efficiency, enhance furnace performance, and contribute to more efficient and sustainable operations.
In the first few weeks of deployment, our client saw
“Ripik.AI understands the complex blast furnace process and their knowledge in the field of data science has been invaluable in helping us optimise our plant operations and improve overall efficiency.”
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