![[background image]](https://cdn.prod.website-files.com/67dcac91313e05fcba5dd825/688d8c3295a98c50606da89e_AdobeStock_1230106158.jpeg)
Enhance exploration with advanced AI: integrated geoscience data, real-time seismic analysis, and 3D geospatial mapping. Achieve 80%+ prediction accuracy, reduce costs by up to 40%, and accelerate discovery with proven, industry-leading technology.
Unlock 80%+ prediction accuracy, 50% fewer drilling failures, and 40% cost savings with advanced geoscience AI integration.
Client feedback
See how our AI solutions deliver measurable results for mining, energy, and government clients.
GeoMiner AI enabled our team to reduce exploration costs by 35% and accelerate project timelines with precise mineral targeting.
The real-time seismic analysis provided actionable insights, improving our drilling success rate and operational efficiency.
Integrated geospatial mapping streamlined our resource assessment, delivering high-accuracy data for critical decision-making.
AI-driven drilling optimization cut failures in half, resulting in significant cost savings and improved project outcomes.
![[interface] image of a computer showcasing educational software (for a edtech)](https://cdn.prod.website-files.com/image-generation-assets/4f06c50f-b948-4bad-bc6a-714a33cc1b61.avif){kind=small}
Advanced data integration enhanced our environmental monitoring, supporting more accurate and timely reporting.
GeoMiner AI’s rapid mineral prediction accelerated our lithium exploration, supporting our renewable energy initiatives.
Mining companies face soaring discovery costs and longer project timelines. GeoMiner.AI helps target resources more efficiently across all commodities (copper, lithium, gold, rare earths, etc.). By fusing seismic, geochemical, and topographic data, the platform generates mineral potential heatmaps that highlight high-probability zones. These AI-generated targets reduce dry drill holes and accelerate new deposit discovery. Executives can expect up to 40% reduction in site costs and much higher drilling success rates file-qupsqr9e2yj5exppcszy5scanadianminingjournal.com.
For example, Rio Tinto reports using AI to complement traditional geological methods, improving operational efficiency and exploration successcanadianminingjournal.com. GeoMiner.AI extends this by automating the entire interpretation workflow. The result is fewer hours spent on manual interpretation and more time evaluating promising prospects. For marketing-critical minerals like lithium and nickel, our platform integrates satellite and drone LiDAR surveys to rapidly map surface expressions of subsurface deposits, even under vegetation.
Mining executives in Canada and the USA can leverage GeoMiner.AI to meet ESG and production targets. The platform’s heatmap outputs make it easy to incorporate confidence scoring, helping companies make data-driven drilling decisions. Book a Demo to see how quickly GeoMiner.AI can generate a 3D orebody model and prioritize drilling sites.
In oil, gas, and renewable energy, GeoMiner.AI accelerates hydrocarbon and critical mineral exploration. The industry is flooded with legacy seismic data, but traditional analysis is slow (months per 3D volume) and error-prone. Our seismic AI cuts through this by highlighting faults and traps in a fraction of the time. In upstream projects, AI can reduce well planning timelines from weeks to secondsnumalis.com, lowering costs and environmental impact.
Renewable energy (e.g. geothermal, critical minerals for batteries) benefits similarly. Governments and companies are racing to find lithium, cobalt, and rare earth elements; GeoMiner.AI can process geophysical surveys and satellite imagery to pinpoint these resources. For oil & gas majors, our fault detection AI improves reservoir characterization and reduces exploration risks – exploration success rates in the industry hover around 30–40%numalis.com, and AI can drive that higher.
GeoMiner.AI also assists in environmental mapping (e.g. carbon sequestration sites) by analyzing geological strata and faults. The platform’s compatibility with seismic (SEG-Y) and well log (LAS) data makes it easy to integrate into existing subsurface modeling workflows. Engineers can export GeoMiner.AI’s results into standard reservoir simulators or GIS software, bridging the gap between exploration and production teams.
Contact us to explore how GeoMiner.AI can enhance your next energy project with AI-driven insights.
Geological surveys and environmental agencies rely on geospatial data for resource management and hazard mapping. GeoMiner.AI turns growing data libraries into strategic intelligence. National and regional geological institutes can deploy our platform to support land-use planning, earthquake and fault mapping, and climate-related studies. For example, LiDAR-derived 3D models produced by our platform can improve understanding of fault lines and floodplains.
The platform’s web-based dashboard and API integration make it ideal for public-sector IT. GeoMiner.AI can run in secure, on-premises or cloud environments to meet governmental data policies. Its real-time analysis is valuable for monitoring evolving situations (e.g. active fault detection during a seismic event). We also provide specialized support for air-gapped networks common in defense or mineral regulatory agencies.GeoMiner.AI is already used to support critical minerals assessments for energy transition planning. Industry reports (e.g., PwC Mine 2022) highlight dramatic growth in demand for lithium, copper, and other battery metalspwc.com. Governments need to identify domestic sources of these minerals; GeoMiner.AI’s AI mapping helps surface potential deposits, facilitating exploratory drilling decisions.
Trust GeoMiner.AI for your agency’s geoscience mission: it combines enterprise-grade security (encrypted pipelines, audit logs) with flexible deployment (SaaS, white-label, private cloud) to meet public-sector requirements. Request a demo to see our government-friendly platform in action.
Unlock high-precision mineral prediction, real-time seismic analysis, and integrated geospatial mapping for efficient, cost-effective resource discovery.
Book demo