Explore Our Case Studies

We implemented ML-driven optimization in phosphate mining, improving recovery by 1% and saving millions.

We implemented AI system to improve DAP fertilizer size for consistent granule size for better nutrient release.

We solved the issue of a suboptimal filtration process by utilizing a soft sensor for inflection point prediction, which maximized feed rates and yield.

We optimized whey permeate evaporator throughput in a lactose plant, increasing efficiency and production while reducing energy use.

We used AI to optimize mining company's SAG mill, boosting efficiency and reducing costs.

We deployed ML for shear prediction in mining, reducing downtime and saving $100k.

Developed AI/ML models for real-time fouling estimation in cracked loop exchangers, overcoming limited process parameters in a major petrochemical complex.

We used AI to optimize efficiency in the crack gas compressor loop, reducing power consumption by 5% and saving $1M/year.

We implemented AI prediction system, achieving 38% greater accuracy than traditional industry forecasts.

Our AI monitoring significantly reduced near-miss incidents and improved safety.

We utilized AI monitoring to minimize near-miss events and boost manufacturing safety.

We developed an ML model to predict steam eruptions during coke cutting, achieving an 80% reduction and enhancing safety.