Made for Your Mining Challenges
Increase Production at a Lower Operational Cost
The decline in ore quality is requiring miners to exploit lower-grade deposits with more impurities.
Greater costs to process with energy and inputs with a larger environmental impact.
Lower Net Present Value (NPV) is creating a need for continuous improvement in every mining process.
How it Helps
Scientific AI Enables Integrated Custom Applications
The scientific AI dual modeling approach uses best-class fusion machine learning and first principle models that reduce risk and deliver outcomes to close decision loops.
Additional out-of-the-box applications enable faster deployment, and early benefit realization and build confidence in the digitalization program in operations.
Open AI Deployment Platform: enables independent software vendors, customers, OEM’s and other third parties to port and run their existing models on the platform, making it agnostic from models and underlying cloud infrastructure.
What You Get
Agnostic Platform for Custom Applications and a Dedicated Expert Team
An Open Source Library used for numerical computation & large-scale machine learning, creating dataflow graphs and running on any target (cloud or local).
A Python-based SDK Contains a Data Science Framework, lifecycle hooks, data analysis, automation of training, and testing of machine learning models.
Package code and deploy on any environment with Docker and build for the web following industry-standard procedures, gaining performance and scalability while maintaining the ability to be easily modified.
For the last 10 years, Copper has seen a 25% reduction in grade, 30% increase in production resulting in 46% increase in energy costs