RockAI delivers highly accurate, intelligent orebody and rock mass characterisation in real time. This knowledge enhances mining sustainability by reducing waste through decarbonised, efficient and safe operations and enables greater recovery of critical minerals. RockAI's cutting-edge technology combines data fusion techniques with advanced machine learning algorithms to provide highly accurate subsurface models. The algorithm has been thoroughly developed and tested in collaboration with major mining companies.

RockAI: Optimising Mining Operations Through Advanced Orebody Analytics

The resources industry has a large amount of subsurface data, but it is frequently disparate and disconnected, resulting in a low-resolution understanding of pre-excavation rock characteristics. As a result, mine design decisions are conservative, operations are inefficient, and work locations are hazardous. Furthermore, blasting with uncertain and limited orebody knowledge can produce suboptimal results, resulting in poor downstream performance and safety hazards.

RockAI has created an innovative machine learning platform that enriches orebody knowledge through advanced analytics of existing mining datasets to address this issue. Disconnected datasets are linked and analysed without any additional data capture or specialised hardware to produce high-resolution orebody knowledge available in real-time via accurate, predictive modelling.

RockAI combines disparate, isolated datasets to increase subsurface certainty and mitigate the negative consequences of low-resolution understanding. The platform applies feature engineering and machine learning analytical methods to data from exploration and mining drillholes to produce predictive, subsurface models that are constantly updated in the field as more data is collected. This allows mining engineers, geologists, and geotechnical engineers to integrate these models into their existing workflows without disrupting it or requiring additional, specialised data science capability to improve decision making.

RockAI enables critical subsurface insights to support more informed mine planning decisions by leveraging existing data through automated analysis. The platform aims to provide critical subsurface insights to miners in order to support better mine planning decisions, resulting in millions of dollars in cost savings and increased production to reach a mine's peak performance.

Extensive primary market research with Tier-1 and mid-tier owner-operators, equipment manufacturers, and technology service providers confirmed the problem-solution fit. RockAI is currently seeking platform feedback in order to better understand current growth metrics and engage early adopters. A prospective customer is any operation that requires ground characteriszation via drilling and/or rock breakage via drill and blast methods, which includes the construction, tunnelling, and defence industries, as well as open-pit and underground mining.

The innovative machine learning platform developed by RockAI enables mining companies to optimise performance, deliver significant productivity gains, improve safety performance, and save money on mining operations. Disconnected datasets can be linked and analysed using automated analysis to produce high-resolution orebody knowledge available in real-time via accurate, predictive modelling. This critical subsurface insight enables more informed mine planning decisions, resulting in millions of dollars in cost savings and increased production to reach a mine's peak performance, which begins with knowing exactly what's in the ground.