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.
Globally acknowledged Pharmaceutical giant was able to attain a striking 10% Enhancement in Throughput with our patented SaaS Ripik Optimus.
Our client is a multinational pharmaceutical company that manufactures pharmaceutical formulations and active pharmaceutical ingredients (APIs). The firm has a diversified portfolio of products that cater to a vast range of therapeutic segments covering psychiatry, anti-infectives, neurology, cardiology, diabetology, gastroenterology, nephrology, urology, dermatology, gynecology, respiratory and many more.
The current state of production planning and scheduling relies on manual processes due to the impracticality of plans generated by end-to-end planning software. These software solutions often fail to accommodate the intricate constraints inherent in factory floor operations. The solvers employed within these software systems struggle with the complexity present in real-world manufacturing environments, often necessitating the imposition of simplifying assumptions. As a result, manual intervention remains a predominant practice, highlighting the need for more robust and adaptable planning solutions that can effectively address the complexities of modern industrial settings.
The plant head faced the issue of suboptimal and manual planning for a vast inventory of 600+ SKUs and the allocation of 200+ resources. The complexity is further compounded by intricate operational dependencies, persistent changeover issues, and constraints related to resource availability. This multifaceted scenario necessitates a more sophisticated and automated approach to planning and resource allocation for enhanced operational efficiency and adaptability.
Ripik Optimus proved as a transformational move in the facility. The technology stands out in generating highly optimal plans by thoroughly examining millions of configurations through rapid iterations on schedules, all achieved within minutes and with no dependency on human input. This innovative solution provides a detailed, minute-by-minute production plan tailored to product and machine specifications. The plan is conveniently visualized in block-wise and room-wise formats, facilitating clear communication and coordination among block and room in-charges. This approach ensures efficient and effective production planning while minimizing the need for manual intervention. This strategic scheduling not only improves (SLA) percentages but also maximizes the volume of samples analyzed.
The introduction of our patented SaaS, Ripik Optimus’s scheduler, has resulted in a commendable 7% increase in production volume. This achievement is attributed to improved resource utilization and the effective identification of bottlenecks in the operational processes. With 100% feasible schedule generation the plant was able to reduce inventory by 5-10%. The advanced scheduling capabilities have proven instrumental in optimizing production and enhancing overall operational 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. ”
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