Where Have We Driven Value?
Learn more about the IntelliSense.io deployments and the value driven by our Optimization Applications from over 25 client sites.
With our Software as a Service (SaaS) business model value is increased with;
- Major upgrades every 6 months with new features & improved models
- Minor updates every 3 months and model re-calibration
- Support & Maintenance is also included
Client: Concentrator Plant in WA
IntelliSense.io, in partnership with BASF, recently embarked on an Optimization as a Service (OaaS) partnership with a mineral concentrator plant in Western Australia (“the client”). The aim of this and other OaaS partnerships is to provide the client with the guidance and solutions required to unlock new operational value…
Client: Major Copper Mine
The primary objective of the Digital Stockpile application is to provide near real-time accurate 3D ore control models of stockpiles for use in mine planning. The primary objective of the Digital Stockpile application is to provide near real-time accurate 3D ore control models of stockpiles for use in mine planning.
Client: Pustynnoye Plant of JSC “AK Altynalmas” (formerly Aktogay)
JSC AK Altynalmas is a fully integrated mining company operating in the Republic of Kazakhstan. Aktogay (Pustynnoye) is one of the Company’s sites where solutions were much needed for debottlenecking the grinding circuit. The IntelliSense.io team was responsible…
Client: In partnership with BASF
Creating a a real-time flocculant advisory with BASF. How IntelliSense.io’s Thickener Optimization Application turns BASF test work into a real-time flocculant advisory. Thickeners are applied in the industry as liquid-solid separation unit operations to achieve the following primary process objectives…
Client: JSC “AK Altynalmas”
The primary objective of the Digital Stockpile application is to provide near real-time accurate 3D ore control models of stockpiles for use in mine planning. The project objective for IntelliSense.io was to provide real-time insight into the material characteristics of the feed throughout the plant and to provide visibility on unmeasured stream properties.
Client: Gold – Copper Mine, Chile
The project objective for IntelliSense.io was to model and optimize the thickener circuit in real time, identify the root cause of variability and continuously predict set-point recommendations for optimal predictive process control. The existing thickener circuit Expert System didn’t enable continuous set point changes based on the type of materials…
Client: Major Copper Mine
Copper mining operations are energy intensive and must ensure water availability for continuous ore processing. In Chile, this is set against a context of mining sites operating in areas of scarce water resources, reducing ore grade and increasing tensions in the price and supply of electricity. IntelliSense.io technology…