Zero Downtime, High Yield, AI-Driven Vision
Zero Downtime, High Yield, AI-Driven Vision
Ripik AI has partnered with Hindustan Zinc to deploy an AI-powered chemical dosing optimization system across three major smelting facilities, advancing the use of industrial AI in mining and metals manufacturing.
The initiative focuses on optimizing the dosing of critical consumables including zinc dust, sodium sulphate, lime, and cement through real-time predictive control powered by artificial intelligence.
The initiative focuses on optimizing the dosing of critical consumables including zinc dust, sodium sulphate, lime, and cement through real-time predictive control powered by artificial intelligence.
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Ripik AI’s platform integrates data from lab systems, plant control systems, and PLC infrastructure to provide operators with intelligent, real-time recommendations and predictive insights. By combining process intelligence with AI-driven optimization, the deployment aims to minimize process variability, reduce consumable wastage, and improve production efficiency.
The collaboration highlights the growing adoption of AI technologies within the mining and metals sector, where manufacturers are increasingly leveraging advanced analytics and automation to enhance sustainability and operational performance.
The project also underscores the broader industry trend toward digital transformation and smart manufacturing, with AI playing a critical role in enabling data-driven decision-making in complex industrial environments.
Ripik AI has been actively expanding its industrial AI deployments across sectors including metals, cement, and manufacturing, helping companies optimize operations, improve plant stability, and achieve measurable business outcomes through advanced AI solutions.