Case Studies - Process Point - Custom AI Solutions for Process Industries

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Flotation Recovery Improvements

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

Centrifuge Shear Prediction

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

Commodity Price Forecasting

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

Phosphoric Acid Manufacturing

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

SGN Optimization in Micronutrients Production

We optimized the SGN in a micronutrients production facility by implementing advanced process controls, resulting in improved product consistency and overall efficiency

Whey Permeate Evaporator Optimization

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

Heat Exchanger Fouling Rate Prediction

Developed surrogate measure for real-time fouling estimation in cracked loop exchangers, overcoming limited process parameters in major petrochemical complex.

Crack Gas Compressor Loop Optimization

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

Delayed Coker Steam Eruptions Prediction

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

Explosives Manufacturing

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

Advanced PPE Detection for Enhanced Safety

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

SAG Mill Optimization in Mining

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