VRIFY's DORA supports mineral-exploration targeting by combining geological datasets, generating prospectivity predictions and updating models as new exploration evidence arrives. It guides geoscientists' field priorities rather than establishing a mineral resource.
Technical detail
Core features
Multi-dataset modelling with adjustable exploration hypotheses
Prospectivity, depth and feature-influence outputs
Iterative retraining as exploration results become available
Mineral-exploration
Geospatial-ai
Use & integration
Recorded applications
Critical-mineral exploration targeting
Geoscience decision support and project prioritization
These describe the reviewed application scope, not confirmed deployments, released requirements or procurement eligibility.
Evidence of maturity
The published DORA 1.0 guide explains how to interpret predictions and SHAP feature influence, and identifies ROC charts as legacy outputs. Ground investigation remains necessary to validate a target.
Commercial availability
Exploration teams can scope VRIFY Predict and DORA workflows. VRIFY Present's stakeholder visualization is a separate product and should not be used as evidence of predictive performance.
Integration and verification
Readiness
A technology readiness level is not established by the reviewed public sources.
Reviewed connections
No reviewed Mission area or released Defence need connection is currently published.
Original sources 4 linked records
These records support this capability and its published Mission area and Defence need connections. A source count is not a count of independent confirmations.
True North Map applies the geospatial-ai tag from VRIFY's documented capability functions.
Supports: Capability · core features
AI-assisted mineral prospectivity modelling
Supports: Capability · technicaldomainslugs
True North Map maps DORA AI prospectivity mapping to mission software and data from its documented technology functions.
Supports: Capability · summary
DORA applies machine-learning workflows to geoscience datasets to help exploration teams rank areas and generate targets. It is distinct from VRIFY's investor-presentation and project-visualization product line.
Supports: Capability · name
DORA AI prospectivity mapping This bounded statement is retained for reviewer verification.
Supports: Capability · defence applications
Geoscience decision support and project prioritization
Supports: Capability · core features
Geospatial exploration-data integration and ranking
Supports: Capability · capability type
Source-bounded strategic technology capability
Supports: Capability · technical tags
True North Map applies the mineral-exploration tag from VRIFY's documented capability functions.
Supports: Capability · commercial availability
VRIFY currently presents DORA AI prospectivity mapping through its official public capability surface.
VRIFY Predict applies DORA models to combine exploration datasets and prioritize mineral targets for field investigation. The workflow supports data augmentation, adjustable hypotheses and retraining as exploration results arrive. DORA supports geoscientists' exploration decisions; VRIFY Present is a separate communication and visualization product.
Supports: Capability · summary
VRIFY Predict applies DORA models to combine exploration datasets and prioritize mineral targets for field investigation. The workflow supports data augmentation, adjustable hypotheses and retraining as exploration results arrive. DORA supports geoscientists' exploration decisions; VRIFY Present is a separate communication and visualization product.
The May 2026 DORA 1.0 guide describes a prospectivity score, depth and prediction outputs, and SHAP feature influence. DORA predicts desired commodity or grade within an area of interest; target validation still requires geological investigation. The guide says ROC charts are legacy outputs rather than new model outputs.
Supports: Capability · maturity
The May 2026 DORA 1.0 guide describes a prospectivity score, depth and prediction outputs, and SHAP feature influence. DORA predicts desired commodity or grade within an area of interest; target validation still requires geological investigation. The guide says ROC charts are legacy outputs rather than new model outputs.
Pacific Economic Development Canada's public evidence confirms a company-specific project, award, program or operating context, while configuration-specific acceptance and scale remain bounded by the reviewer warning.
Public sources cited · Facts and assessments kept separate · Human review
VRIFY Predict applies DORA models to combine exploration datasets and prioritize mineral targets for field investigation. The workflow supports data augmentation, adjustable hypotheses and retraining as exploration results arrive. DORA supports geoscientists' exploration decisions; VRIFY Present is a separate communication and visualization product.
Supports: Capability · core features
VRIFY Predict applies DORA models to combine exploration datasets and prioritize mineral targets for field investigation. The workflow supports data augmentation, adjustable hypotheses and retraining as exploration results arrive. DORA supports geoscientists' exploration decisions; VRIFY Present is a separate communication and visualization product.
Supports: Capability · defence applications
VRIFY Predict applies DORA models to combine exploration datasets and prioritize mineral targets for field investigation. The workflow supports data augmentation, adjustable hypotheses and retraining as exploration results arrive. DORA supports geoscientists' exploration decisions; VRIFY Present is a separate communication and visualization product.
Supports: Capability · core features
VRIFY Predict applies DORA models to combine exploration datasets and prioritize mineral targets for field investigation. The workflow supports data augmentation, adjustable hypotheses and retraining as exploration results arrive. DORA supports geoscientists' exploration decisions; VRIFY Present is a separate communication and visualization product.
Supports: Capability · capability type
VRIFY Predict applies DORA models to combine exploration datasets and prioritize mineral targets for field investigation. The workflow supports data augmentation, adjustable hypotheses and retraining as exploration results arrive. DORA supports geoscientists' exploration decisions; VRIFY Present is a separate communication and visualization product.
Supports: Capability · technicaldomainslugs
VRIFY Predict applies DORA models to combine exploration datasets and prioritize mineral targets for field investigation. The workflow supports data augmentation, adjustable hypotheses and retraining as exploration results arrive. DORA supports geoscientists' exploration decisions; VRIFY Present is a separate communication and visualization product.
Supports: Capability · commercial availability
VRIFY Predict applies DORA models to combine exploration datasets and prioritize mineral targets for field investigation. The workflow supports data augmentation, adjustable hypotheses and retraining as exploration results arrive. DORA supports geoscientists' exploration decisions; VRIFY Present is a separate communication and visualization product.
Supports: Capability · name
VRIFY Predict applies DORA models to combine exploration datasets and prioritize mineral targets for field investigation. The workflow supports data augmentation, adjustable hypotheses and retraining as exploration results arrive. DORA supports geoscientists' exploration decisions; VRIFY Present is a separate communication and visualization product.
Supports: Capability · technical tags
VRIFY Predict applies DORA models to combine exploration datasets and prioritize mineral targets for field investigation. The workflow supports data augmentation, adjustable hypotheses and retraining as exploration results arrive. DORA supports geoscientists' exploration decisions; VRIFY Present is a separate communication and visualization product.
Supports: Capability · technology readiness level
The May 2026 DORA 1.0 guide describes a prospectivity score, depth and prediction outputs, and SHAP feature influence. DORA predicts desired commodity or grade within an area of interest; target validation still requires geological investigation. The guide says ROC charts are legacy outputs rather than new model outputs.