Case Studies
Where Have We Driven Value?
Learn more about the IntelliSense.io deployments and the value driven by our Scientific AI Process Optimization Applications from over 25 client sites. Here are some of the high-level outcomes we have seen when deploying our apps; benefits that can be realised in as little as four months.

Thickener Optimization
16% Reduction in Chemical Use

Stockpile Optimization
$100M Increase in Net Metal Production

Solvent Extraction Optimization
3% Increase in Average Copper Mass Transfer

Grinding Optimization
1% Increase in Ore Throughput

Leaching Optimization
8% Saving in Acid Consumption

Flotation Optimization
3% Improvement in Metal Recovery
Discover our Case Study Snippets
Read our short case studies designed to give you a rapid overview and flavor of what can be achieved using Scientific AI Process Optimization
STOCKPILE: Improve Accuracy by 32.7%
3D Stockpile outperforms the weighted average model with Fe accuracy improved by 32.7%
STOCKPILE: Prevent 20k Tonnes of Ore Deviation
Using Stockpile to map dump and load deviation events, ensuring 20,000 tonnes of ore was not lost
THICKENER: Reduce Stoppages to Save $1-3M
Reduce stoppage events on Thickener saving $1-3m per year in maintenance and improving water recovery
STOCKPILE: Identify 100k Tonnes of Waste in the RoM
FMS data quality management was able to detect 100,000 tonnes of waste dumped in the wrong location
LEACHING: Reduce Acid Consumption by 5-8%
A case study in reducing fines, acid consumption and improving copper recovery
GRINDING: Increase Mill Throughput by 1%
A case study in increasing Grinding Circuit throughput and reducing mill stoppages
THICKENER: Decrease Flocculant usage by 16%
Stabilize Thickener’s process to increase underflow % of solids while reducing flocculant by 16% & rake torque by 18%
FLOTATION: Increase Metal Recovery by 3%
Achieve a stable Flotation circuit by maximizing recovery per cell
FLOTATION: Increase $8M with Metal Recovery
A case study in real-time feedback of flotation kinetics to potentially increase metal recovery in 2-3% ($8M)
SX: Improve Copper Mass Transfer by 3%
A case study in improving solvent extraction circuit stability to increase copper mass transfer by 3%
Read and Download our Detailed Case Study Papers
Read (and download to take away) our series of deeper dive case studies that cover in greater detail a selection of the product implementations we have recently undertaken across the globe.
Thickener Optimization Case Study
IntelliSense.io enables a large minerals producer in Western Australia to reduce process disruptions by 18% and flocculant consumption by 16%
Grinding Optimization Case Study
IntelliSense.io helped a large gold mine in Kazakhstan to increase throughput by 1% with reduced energy consumption resulting in $1.3M of benefit realization
Pipeline Optimization Case Study
BASF Intelligent Mine helped a large copper mine in Chile to reduce energy consumption by 8% and pump switches by 50%

Discover how Scientific AI can Optimize Unit Processes in your operation
Mine to Market: Value Chain Optimization
Our process optimization apps can be deployed on a specific process bottleneck or expanded across the entire value chain.
They are powered by our Scientific AI Decision Intelligence Platform, brains.app.

Stockpile & Inventory Optimization

Grinding Optimization

Thickener Optimization

Flotation Optimization

Solvent Extraction (SX) Optimization
