Stratum AI
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About
Stratum AI provides AI-driven solutions for the mining industry. Their SAIGE technology aims to create more accurate models for mine planning and grade control through machine learning, increasing the average mined grade and the realized NPV of the mine plan. They offer dynamic reconciliation and error correction, and improved drill targeting. StratumAI tracks ore in real-time across the mine allowing for faster error-correction of dilution, modelling, and grade control issues. They ensure stakeholders understand how the AI works and what aspects of their data drive the predictions. Stratum AI resource models are NI 43-101/JORC 2012 compatible.
Platform
Task
Features
• improved drill targeting
• dynamic reconciliation and error correction
• increase realized npv of mine plan
• increase average mined grade
• more accurate models for mine planning and grade control
FAQs
Is the AI process a black box?!
No, we ensure that all stakeholders understand how the AI works and what aspects of their data drive the predictions, block by block.
What data collection is needed to use the AI model?!
Stratum does not need additional data collection
Does your AI do greenfields exploration?!
No, we don't do greenfields exploration because there isn't enough drillhole data available and the spacing between samples is too large.
Are Stratum's resource models NI 43-101/JORC 2012 compatible?!
Yes, the data used for the Stratum model is the same as your site model. We can export an AI wireframe and you can apply Kriging or other geostatistics within those domains. Finally, your Competent/Qualified Person and the sites will qualify all models used for estimation.
Job Opportunities
Technical Recruiter & HR Generalist
AI-driven solutions for mine planning and grade control. Increase average mined grade and realized NPV of mine plan through machine learning.
Experience Requirements:
5+ years of technical recruiting experience, with demonstrated success hiring for ML/AI or highly technical roles.
Experience building and implementing HR processes in a fast-growing environment.
Responsibilities:
Develop and execute talent acquisition strategies for specialized ML, data science, and software engineering roles.
Source, screen, and evaluate candidates with advanced mathematical and technical competencies.
Administer technical screening processes including custom assessments.
Coordinate and improve the technical interview process, working closely with engineering leadership.
Build and maintain a pipeline of candidates with specialized skills, particularly in ML engineering.
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Lead Metallurgist / Mineral Processing Engineer
AI-driven solutions for mine planning and grade control. Increase average mined grade and realized NPV of mine plan through machine learning.
Education Requirements:
Tertiary qualification in Metallurgy or Mineral Process Engineering.
Experience Requirements:
Extensive experience experience in mineral processing including evaluation of third party operations (>20years). working in both open pit and underground mining environments.
Responsibilities:
Lead an expanding metallurgical team, providing expertise on mineral processing methodologies, and ensuring the quality control of all geometallurgical models.
Audit the clients geometallurgy (Kriging) models and Stratum’s newly generated Stratum models.
Assist in the audit and analysis of complex mine site databases, focussed on the measured geometallurgical parameters and report on potential issues with the data and the client’s conclusion.
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Chief Resource Geologist
AI-driven solutions for mine planning and grade control. Increase average mined grade and realized NPV of mine plan through machine learning.
Education Requirements:
Tertiary qualification in Geology or Earth Science.
Experience Requirements:
Extensive experience experience in mineral resource evaluation (>20years), working in both open pit and underground mining environments.
Responsibilities:
Lead an expanding resource geology team, providing expertise on resource evaluation methodologies, and ensure the quality control of all resource models and geometallurgical models.
Audit the clients mineral resource (Kriging) models and Stratum’s generated models.
Assist in the audit and analysis of complex mine site databases composed of varied geological and geochemical data to evaluate critical issues.
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