Zero Downtime, High Yield, AI-Driven Vision
Zero Downtime, High Yield, AI-Driven Vision
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.
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
With accurate real-time monitoring of Pusher Car Turnaround Time (TAT) and human geo-fencing, the system...
The AI-powered Level Monitoring System uses infrared and optical analytics to continuously measure molten...
Reduce Downtime in Steel Plants Predictive Furnace Monitoring to Extend Equipment Life Achieved 95% accuracy...
Achieved a 70% reduction in temperature-related failures with AI-powered monitoring of switchyard assets,...
Achieved 70% Reduction in downtime of conveyor failures with Ripik AI conveyor belt monitoring system....
Reducing inconsistencies in calorific values through AFR monitoring optimizes combustion efficiency,...
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…
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.
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 happy to share work done by Ripik.ai across the use cases…
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 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….
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…
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….
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…
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….
Insights and perspectives from Ripik.ai's thought leaders
Fire and smoke incidents in the Raw Material Handling System (RMHS) represent a significant operational...
In modern steel plants, operational stability depends not only on equipment performance and automation...
Hotspot Monitoring of Electrical Equipments has emerged as the most effective technique to detect overheating,...
Discover how AI and vision analytics reduce process variability in manufacturing — cutting energy costs...
Learn how AI-driven stabilization reduces blast furnace variability by up to 70%, cuts coke rates by...
Accurate molten metal level measurement is vital for maintaining stability, safety, and quality in modern...