Data Requirements & Handling
What we need from you, and how we handle the gaps.
Our platform is built for flexibility. We work with the data you already have, integrate across formats and modalities, and use AI to fill the gaps where collection is costly or incomplete. This guide summarizes the types of data we consume, the formats we accept, and the services we offer to help you get the most out of your exploration program.
Types of Data We Utilize
Drilling & Assay Data
Depth intervals, collars, surveys, and mineral concentrations from drill holes.
Geophysical Surveys
Gravity, magnetic, electromagnetic, and other geophysical methods.
Geochemical Samples
Soil, rock, and trench samples revealing anomalies and composition.
Historical Exploration
Prior reports, maps, and findings that provide baseline context.
GIS & Satellite Imagery
Coordinates, topography, orthophotos, and hyperspectral imagery.
LiDAR & Sonar
Laser-based 3D terrain models and underwater acoustic measurements.
Metallurgical Data
Processing tests, beneficiation characteristics, and recovery rates.
Environmental & ESG
Baseline environmental studies, ESG metrics, and water studies.
Structural & Geotechnical
Oriented core, televiewer logs, and rock mechanics data.
Formats We Accept
Our ingestion pipeline handles numerical and categorical data alike, converting industry-standard formats into a unified reasoning substrate. We accept data in any format, including:
Also Supported
Operational IoT Data
Live sensor and equipment telemetry from mines, rigs, and infrastructure, ingested continuously alongside historical context.
Mixed Data Types
Quantitative measurements and qualitative classifications are both first-class citizens in our models.
Handling Missing or Incomplete Data
Exploration datasets are rarely complete. Our platform is engineered to degrade gracefully and keep predictive performance strong even with significant gaps.
Cleaning & Standardization
Preprocessing to fix inconsistencies, correct errors, and align formats across every source.
Statistical & ML Imputation
Pattern-aware estimation of missing values using correlations in the available data.
Robust Model Design
Architectures built to reason around absent data points while preserving accuracy.
Data Acquisition Services
When the right data does not yet exist, we help you source, generate, or collect it.
Data Engineering Support
We pull from public databases, governmental records, and industry repositories to enrich your project.
AI Data Augmentation
Generative models, including GANs, create realistic synthetic data for model training where coverage is thin.
Customized Acquisition
We plan new collection campaigns, partner with survey vendors, and deploy remote sensing as needed.
Files You May Want to Share
- Property boundaries & tenure
- Shapefiles / KML files
- Topography & DEMs
- Satellite / orthophoto / hyperspectral
- LiDAR point clouds
- Sonar & bathymetric surveys
- Drill data
- Assays, collars, surveys
- Highlights / composites
- Grade shells & block models
- Resource / reserve tables
- Target & exploration areas
- Surficial geology & fault lines
- 3D lithology & alteration models
- 3D structural shapes
- Cross / long sections & plan views
- Surficial geochemical data
- 3D geochemical interpretations
- 3D geophysical inversion models
- 2D contoured plan-view data
- Geophysical cross & level sections
- Surface
- Roads, rail, power lines
- Neighboring properties
- Processing plants & tailings
- Pits, stockpiles, waste dumps
- Underground
- Stopes, shafts, declines
- LOM sequence & phasing
- 3D pit shapes by phase
- Core photos linked to drill highlights
- Operations photos (fleet, UG ops)
- Geological photos & outcrops
- Mineralization type references