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Title
MineSense uses machine learning on sensor data to distinguish high-grade ore from waste in real time
…ely visibility into ore and waste before material reaches the processing plant. Combined with advanced machine learning models, this data helps mines make smarter routing decisions, improve metal recovery, reduce dilution, and lower the downstream energy, water, and processing resources spent on waste. To support this data-intensive workflow at scale, MineSense needed a powerful,…
Description
MineSense combines rugged X-ray fluorescence sensors on mining equipment with advanced machine learning models to estimate ore grade in every shovel bucket in real time, helping mines make smarter routing decisions, improve metal recovery, and reduce waste. Running on Oracle Autonomous AI Lakehouse, MineSense also uses OCI generative AI agents with retrieval-augmented generation to automate knowledge-base searches, improving field engineering productivity 5X and reducing DBA workloads by 65%.
…gest mines improve recovery of ore, reduce waste, and operate more sustainably. Its technology uses rugged, high-speed X-ray fluorescence sensors installed on mining equipment to scan material at the extraction face and estimate ore grade in every shovel bucket. By generating high-resolution mineral data at the earliest stage of the mining…
…ely visibility into ore and waste before material reaches the processing plant. Combined with advanced machine learning models, this data helps mines make smarter routing decisions, improve metal recovery, reduce dilution, and lower the downstream energy, water, and processing resources spent on waste. To support this data-intensive workflow at scale, MineSense needed a powerful,…
…ural language data interactions, and enable more automated AI-driven workflows. The use of OCI generative AI agents to combine large language models with retrieval-augmented generation helps automate searches across the company’s knowledge base. Results Using OCI Object Storage and Oracle Autonomous AI Lakehouse as part of…
…or support requests and assist with database monitoring and performance tuning. In addition, OCI generative AI agents automate searches for equipment issues across the company’s knowledgebase, improving MineSense field engineering productivity by 5X and saving hundreds of hours per year in development and maintenance time. Oracle APEX allowed staff to rapidly build and deliver low-code apps in only on…
…, MineSense has scaled its data platform while reducing operational complexity. The company’s small IT team lowered DBA workloads by 65% while supporting rapid growth in both customers and data volumes, scaling to more than 55 TB data sets in four years. Oracle Interconnect for Azure enables MineSense to continue using Azure-based m…
Company
MineSense Technologies
…n Up for Free Cloud Tier Oracle Account Sign-In Create an Account Help Sign Out MineSense drives efficient, sustainable mining on Oracle Autonomous AI Lakehouse Mining tech company uses Oracle Object Storage, Autonomous AI Lakehouse and APE…
Country
Canada
…use and APEX, Select AI, and generative AI to improve productivity and service. Canada | Mining, Oil and Gas “ With a powerful platform in Oracle Autonomous AI Database, combined with our…
Industry
Energy
…use and APEX, Select AI, and generative AI to improve productivity and service. Canada | Mining, Oil and Gas “ With a powerful platform in Oracle Autonomous AI Database, combined with our…
Problem
To support its data-intensive workflow at scale, MineSense needed a powerful, flexible cloud data platform that could integrate large volumes of diverse industrial IoT data from mining operations, support analytics and machine learning, and help teams deliver secure, near real-time insights to customers.
…nd lower the downstream energy, water, and processing resources spent on waste. To support this data-intensive workflow at scale, MineSense needed a powerful, flexible cloud data platform. This platform had to be able to integrate large volumes of diverse industrial IoT data from mining operations, support analytics and machine learning, and help teams deliver secure, near real-time insights to customers. Why MineSense chose Oracle MineSense chose Oracle Cloud Infrastructure (OCI) wi…
Solution
MineSense chose Oracle Cloud Infrastructure with Oracle Autonomous AI Lakehouse to support its modern lakehouse architecture and automate data integration; its rugged X-ray fluorescence sensors installed on mining equipment scan material at the extraction face and, combined with advanced machine learning models, estimate ore grade in every shovel bucket in real time. OCI generative AI agents combine large language models with retrieval-augmented generation to automate searches across the company's knowledge base, and Oracle Select AI lets staff simplify sensor support requests and assist with database monitoring and performance tuning.
…eliver secure, near real-time insights to customers. Why MineSense chose Oracle MineSense chose Oracle Cloud Infrastructure (OCI) with Oracle Autonomous AI Lakehouse to support its modern lakehouse architecture and automate data integration across multiple platforms and formats. The platform enables MineSense to analyze industrial IoT data in real time whil…
…gest mines improve recovery of ore, reduce waste, and operate more sustainably. Its technology uses rugged, high-speed X-ray fluorescence sensors installed on mining equipment to scan material at the extraction face and estimate ore grade in every shovel bucket. By generating high-resolution mineral data at the earliest stage of the mining…
…ural language data interactions, and enable more automated AI-driven workflows. The use of OCI generative AI agents to combine large language models with retrieval-augmented generation helps automate searches across the company’s knowledge base. Results Using OCI Object Storage and Oracle Autonomous AI Lakehouse as part of…
…h customers use to access near real-time data collected from mining operations. With Oracle Select AI, MineSense staff can simplify sensor support requests and assist with database monitoring and performance tuning. In addition, OCI generative AI agents automate searches for equipment issues ac…
Business value
MineSense's small IT team lowered DBA workloads by 65% while supporting rapid growth in customers and data volumes; OCI generative AI agents improved field engineering productivity by 5X and saved hundreds of hours per year in development and maintenance time, and Oracle APEX let staff build and deliver low-code apps in one week instead of six.
…, MineSense has scaled its data platform while reducing operational complexity. The company’s small IT team lowered DBA workloads by 65% while supporting rapid growth in both customers and data volumes, scaling to more than 55 TB data sets in four years. Oracle Interconnect for Azure enables MineSense to continue using Azure-based m…
…or support requests and assist with database monitoring and performance tuning. In addition, OCI generative AI agents automate searches for equipment issues across the company’s knowledgebase, improving MineSense field engineering productivity by 5X and saving hundreds of hours per year in development and maintenance time. Oracle APEX allowed staff to rapidly build and deliver low-code apps in only on…
…y 5X and saving hundreds of hours per year in development and maintenance time. Oracle APEX allowed staff to rapidly build and deliver low-code apps in only one week instead of six. Together with Oracle Data Studio and OCI Functions, the platform reduces the co…
Headline outcome
…, MineSense has scaled its data platform while reducing operational complexity. The company’s small IT team lowered DBA workloads by 65% while supporting rapid growth in both customers and data volumes, scaling to more than 55 TB data sets in four years. Oracle Interconnect for Azure enables MineSense to continue using Azure-based m…
Use case type
Predictive operations
…ely visibility into ore and waste before material reaches the processing plant. Combined with advanced machine learning models, this data helps mines make smarter routing decisions, improve metal recovery, reduce dilution, and lower the downstream energy, water, and processing resources spent on waste. To support this data-intensive workflow at scale, MineSense needed a powerful,…
AI capabilities
Machine Learning, Retrieval-Augmented Generation, Large Language Models
…ely visibility into ore and waste before material reaches the processing plant. Combined with advanced machine learning models, this data helps mines make smarter routing decisions, improve metal recovery, reduce dilution, and lower the downstream energy, water, and processing resources spent on waste. To support this data-intensive workflow at scale, MineSense needed a powerful,…
…ural language data interactions, and enable more automated AI-driven workflows. The use of OCI generative AI agents to combine large language models with retrieval-augmented generation helps automate searches across the company’s knowledge base. Results Using OCI Object Storage and Oracle Autonomous AI Lakehouse as part of…
Technology
Oracle Cloud Infrastructure, Oracle Autonomous AI Lakehouse, Oracle APEX, OCI Generative AI Agents, OCI Functions, OCI Interconnect for Azure, Oracle Data Studio, OCI Object Storage, Oracle Select AI
…ental footprints across land, water, and energy use. Learn more about MineSense Products list Oracle Cloud Infrastructure Oracle Autonomous AI Lakehouse Oracle APEX OCI Generative AI Agents OCI Functions OCI Interconnect for Azure Oracle Data Studio OCI Object Storage Oracle Select AI 2026 Oracle Privacy / Do Not Sell My Info Ad Choices Careers Subscribe to email…
Deployment model
Cloud
…eliver secure, near real-time insights to customers. Why MineSense chose Oracle MineSense chose Oracle Cloud Infrastructure (OCI) with Oracle Autonomous AI Lakehouse to support its modern lakehouse architecture and automate data integration across multiple platforms and formats. The platform enables MineSense to analyze industrial IoT data in real time whil…
Deployment options
cloud
…eliver secure, near real-time insights to customers. Why MineSense chose Oracle MineSense chose Oracle Cloud Infrastructure (OCI) with Oracle Autonomous AI Lakehouse to support its modern lakehouse architecture and automate data integration across multiple platforms and formats. The platform enables MineSense to analyze industrial IoT data in real time whil…
