Productivity & Throughput Optimization Whitepaper

Industrial AI for Mining Productivity and Throughput

See what changed, understand why, and act before small drifts become lost recovery or lost throughput.

B3B3 Systems· Mining· Whitepaper · PDF
13Page whitepaper
3Connected layers
1Constraint-first starting point
Processing plant — Live site
Inside the whitepaper

Three sections. One operating model.

Mining plants generate signals from control systems, historians, lab results, sensors, shift notes, and production systems. The data exists. The problem is that it arrives fragmented and late.

  1. 01 — Challenge

    The question is no longer how to move more tonnes

    It is how to make better operational decisions early enough to keep the plant stable, with declining ore quality, tighter labor, and digital pilots that never scaled.

  2. 02 — Approach

    From raw data to decisive action. Three connected layers

    Orion connects control, lab, historian, and production data into one operational layer. Neo makes performance visible in real time. B3rry surfaces what changed and recommends the next best action.

  3. 03 — Use cases

    Across the mining value chain

    Concentrators, milling and flotation circuits, hydrometallurgical processes, refineries, blending, and shift-level performance execution.

Next step

Mining operations already have the data.

B3 helps plant, engineering, metallurgy, and operations teams act on it, shift by shift.