Mining, Minerals & Metals

What comes first—the energy transition or the materials to enable it?

Energy accounts for 20-40% of OPEX in mineral processing. Leveraging AI-powered optimization technology to get the highest possible yields is the lowest carbon way to accelerate the shift towards electrification and the energy transition.

Maximize flotation system recovery

Around 15% of precious metals mined find their way to the tailings pond. Don’t let the complexity of your float system increase that number.

Imubit AI models learn the nonlinear relationships between process variables like reagent concentration, bubble formation, and rotor speed, then tune the available handles to maximize recovery of every float tank under every process condition.

Boost grinding circuit efficiency

Grinding circuits are the most energy-intensive step in mineral processing with inefficiencies stemming from variable feed properties and lack of real time particle size measurement in the mill.

Imubit models make the most of your energy input, pushing to the max power draw limit, maximizing throughput and minimizing reagent usage in flotation through consistent and optimal control of particle size distribution.

Don’t let downgrades eat your margins

Missed metal composition targets can result in costly reprocessing or downgrades. In steel production, raw material variability and delayed lab-measured properties add complexity.

Imubit AI models learn the complex, nonlinear composition relationships and put them into closed loop to reduce rework and energy costs and provide more consistent mechanical properties.