Redefine Manufacturing with Ripik’s Vision AI Process Optimization

Move beyond number crunching and reduce process variability with automated pair of eyes to achieve efficiency and sustainability

Trusted by leading global enterprises

Vision AI Agents

Automated pair of eyes

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.

Unlock Computer Vision AI for Manufacturing

Solutions for a rapidly changing world

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.

Cement Plants

Kiln Fuel Cut
Alternative fuel monitoring
Limestone sizing

Steel Plants

Ladle monitoring
DRI, HBI, Coke size and moisture
Conveyor belt monitoring

Aluminum Plants

Anode surface monitoring
SwitchYard hotspot monitoring
Tamped metal SOP compliances

Power Plants

Coal size and moisture monitoring
Boiler fuel leakage
Refractory monitoring

Other Plants

Conveyor belt monitoring
SOP Compliances
Workforce monitoring

Our role in driving
customer success

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

Pusher Car Turnaround Time Cycle Monitoring And Geo-fencing System For Productivity and Safety

With accurate real-time monitoring of Pusher Car Turnaround Time (TAT) and human geo-fencing, the system...

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Level Monitoring for Real-Time Molten Metal Level Measurement

The AI-powered Level Monitoring System uses infrared and optical analytics to continuously measure molten...

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Predictive Furnace Refractory Monitoring to Extend Equipment Life

Reduce Downtime in Steel Plants Predictive Furnace Monitoring to Extend Equipment Life Achieved 95% accuracy...

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24/7 Switchyard Monitoring for Predictive Maintenance

Achieved a 70% reduction in temperature-related failures with AI-powered monitoring of switchyard assets,...

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70% Reduction in downtime of conveyor failures with conveyor monitoring

Achieved 70% Reduction in downtime of conveyor failures with Ripik AI conveyor belt monitoring system....

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Real Time Material Blend Monitoring for Enhanced Efficiency

Reducing inconsistencies in calorific values through AFR monitoring optimizes combustion efficiency,...

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Testimonials

Hear it directly from our clients

Chief Digital Officer

ArcelorMittal

The team has demonstrated strong expertise in real-time vision analytics, enabling them deliver high-impact solutions. We look forward to strengthening our partnership with Ripik.AI & confidently recommend them to organizations…

Finishing Operation Head

Hindalco

Ripik.ai team understood the assignment and developed a custom model to trigger the alerts for violation in set operating parameters. We were impressed with the depth of analysis, specific data point collected and support received on accuracy of the detection model….

DGM - Power Plant (O&M)

Jindal Steel Limited

We are pleased to inform you that the Coal Moisture Detection Application has proven successful in detecting the moisture content of coal particles with an accuracy of over 93%, which will benefit our operations. The real-time 24/7 monitoring capability…

Head Energy Management

JSW steel

Ripik.ai has delivered impressive results on real-time Flare volume calculation with near-perfect accuracy. We would strongly recommend Ripik.ai to organizations looking to bring data-driven transformation to their operations….

Chief Digital Officer

Arcelor Mittal

We are pleased to share our experience working with Ripik.ai, on the development of Foreign Object Detection and Raw Material Sizing models for the conveyor belts in our Blast Furnaces and Coke Oven Batteries plants at ArcelorMittal…..

CEO

Hindustan Zinc

The Switchyard and Rectifier Hotspot Monitoring Application is another step forward in our journey towards more optimised operations. By embedding AI-driven monitoring and predictive systems, we are increasing production efficiency….

Process Engineer

Cimko

We have been highly satisfied with RIPIK’s technological expertise, responsiveness, and commitment to continuous improvement. Their team has demonstrated strong technical support capabilities and a proactive approach to development….

Sr. Vice President

Head Ferro Alloy Business Unit

Ripik.ai has been associated with IMFA since Jan 2023 towards implementation of Industry 4.0 in our Choudwar plant located in Odisha. The team has good knowledge in the areas of data science & machine learning, and their problem solving skill set is high…

Head Technology and Projects Electrical Maintenance

Tata Steel Limited

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….

Chief Digital Officer

Godrej

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…