Deployment Options
Shaped by Our Customers Requirements of Data Tenancy
Our “Hybrid Cloud Deployment Architecture” combines the benefits of high-performance cloud computing power, required for AI algorithms, with the flexibility of on-premise deployment to support data residency needs and remove the risk of internet connectivity on mining operations infrastructure.
IntelliSense.io applications can be implemented in two ways:
Hybrid (On Premise and Cloud) Deployment
The infrastructure agnostic nature and containerised deployment solution allows us to deploy a local version of our platform within the customer’s local network.
This local version of our platform executes low latency actions and has been deployed at our client’s Operations networks. The software operates on our customer’s virtual machine with a selection of data and complements the cloud solution where medium to long term predictions and simulations are performed.
Multi Cloud (Public or Private Cloud) Deployment
Our cloud agnostic and containerized architecture allows us to deploy our applications both within our own cloud situated on the Amazon Web Services (AWS) platform or within a customer’s chosen private cloud (for example on Microsoft Azure, AWS, Google).
Cloud computing provides a high performance computing environment to run AI algorithms on large data sets performing advanced analytics like predictions and simulations over a long term horizon.
IntelliSense.io App Deployment Options
The brains.app platform and its applications associated deployment environments are designed to maximize value from the software and models.
This unique hybrid architecture allows IntelliSense.io products to be cloud agnostic. We can deploy on any private or public cloud environment, support all types of data tenancy policies, from data not leaving the country to live operational data not leaving the site, and leverage the power of the cloud computing for high-end data processing.
Mine to Market: Value Chain Optimization
Our suite of real-time decision-making applications use Scientific AI to optimize each process; from mine to market.
Our Material Handling model connects these applications to drive even greater efficiency.
Our process optimization apps can be deployed on a specific process or connected 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
