Strategic urgency
U.S. law defines critical minerals as non-fuel commodities essential to economic or national security with vulnerable supply chains.
Energy Act of 2020 (DOE / CRS)
Solution • SaaS workspace
Minerals Mapping StudioFrom Orbit to Ore — drill-ready targets from Earth-scale data
An AI-accelerated platform that harmonizes massive public + proprietary geoscience datasets and turns them into defensible exploration hypotheses, ranked targets, and exportable GIS-ready layers.
Lab assays
2M+
Unique sites
~1.3M
Geophysics
TB-scale
Remote sensing
Multi-sensor
Exports
OGC + REST
Security
RBAC-ready
Minerals Mapping Studio • Workspace
Demo view
Layer stack → prospectivity → ranked targetsAudit-grade provenance
Why it matters
Exploration is now a data + compute problem
“Critical minerals” are formally defined in U.S. policy, supply chains are tightening, and the public geoscience corpus is enormous—but underutilized without serious data engineering.
Exploding demand
In IEA climate-driven scenarios, lithium demand is projected to grow by over 40× by 2040 (fastest among major minerals).
IEA — Critical minerals report
Data deluge
USGS hosts petabyte-scale Earth observation and national-scale geoscience datasets (Earth MRI, USMIN, geochem, geophysics) that require harmonization to be decision-ready.
USGS EROS / Mineral Resources portals
Sources: DOE on Energy Act definitions ; CRS summary of statutory criteria ; IEA projection (SDS) for lithium demand growth ; USGS EROS archive size ; USGS Earth MRI and Mineral Resources data portals .
Workflow
From Orbit to Ore
A clean, repeatable loop: data → signals → targets → defensible outputs.
Ingest
Bring in public + proprietary layers: remote sensing, geophysics, geochem, structural + topo, drillhole logs.
Harmonize
Normalize schemas, georeference, unify vocabularies, and make the stack queryable (schema-on-read).
Prospect
Generate and compare prospectivity surfaces, alteration indicators, and anomaly stacks.
Rank → Export
Turn hypotheses into ranked targets, reports, and GIS-ready exports for field validation.
Data + AI core
A geoscience data lake with models built in
The platform is designed to integrate multi-modal datasets (geochem, geophysics, remote sensing, topo/structural, drillholes) and run exploration-specific AI workflows on top. For interoperability, it targets OGC map services and REST handoffs.
Harmonized geoscience data lake
Schema-on-read, queryable layers, fast filters, and project workspaces designed for continent-scale stacks.
- Geochem + geophysics + remote sensing
- Topography + structural geology
- Drillhole logs + assays (when available)
Exploration models (in development)
Domain models aimed at reducing early-stage cost and cycle time (with uncertainty-aware outputs).
- FusionNet™ — generative geophysics
- TargetRanger™ — prospectivity ranking
- GeoGPT™ — report drafting + knowledge
- EconOpt™ — scenario economics
Defensible outputs
Make your work portable: export layers, targets, and technical packages for partners, regulators, and field teams.
- Ranked targets + anomaly stacks
- Grade–tonnage & scenario views
- Report templates + audit trail goals
Data coverage
A serious starting point (and expandable)
We design around major public programs like Earth MRI, USMIN and national geochemical databases, and we aim to keep ingestion modular so your proprietary layers can drop in cleanly.
Geochem at scale
Millions of assays across rock/soil/sediment/water and concentrate datasets — ready for spatial joins and feature engineering.
National geophysics
Magnetics, gravity, radiometrics and more — unified into a consistent spatial stack for anomaly screening.
Remote sensing
Multispectral + hyperspectral imagery pipelines for alteration, structure, and surface mineral indicators.
Want the full dataverse?
If you share a region + commodity focus, we’ll provide a coverage view (datasets, vintages, resolution) and the recommended workflow to get to drill-ready targets.
Enterprise-grade design
Interoperable, secure, and collaboration-ready
For GIS interoperability, we align with OGC web services (WMS) and common enterprise GIS patterns (e.g., ArcGIS support for OGC services).
Cloud-native compute
Microservices with elastic GPU/CPU execution paths for ingestion, tiling, and model runs.
Security posture
Encryption in transit/at rest, RBAC patterns, and paths toward SSO and sovereign hosting options.
Toolchain handoff
OGC-WMS + REST patterns for linking to ArcGIS/QGIS and downstream 3D/geo modeling workflows.
Ideal users
Built for teams that need answers, not dashboards
Juniors & mid-tiers
Greenfield and brownfield plays—screen targets faster and defend hypotheses with a consistent evidence stack.
OEMs & battery manufacturers
Secure upstream offtake—compare regions, risks, and signals with a transparent pipeline to targets.
Government resource agencies
Accelerate strategic assessments—turn public archives into structured, queryable, comparable outputs.
PE & royalty funds
Screen deal flow—rank upside and surface the “why” behind targets using audit-friendly artifacts.
Request access
Become a partner
Share a region + commodity focus. We’ll return a coverage view, an initial workflow, and a demo built around your thesis.
Context: global energy investment is projected to reach $3.3T in 2025—supply chains and mineral availability matter more than ever.