Enterprise mining intelligence, explained.

Solarion Discovery™ is enterprise mining intelligence software that connects operational, exploration, geospatial and governed AI workflows. It is designed to give technical teams a consistent application layer above specialist source systems while preserving data provenance and access controls.

The platform is designed for mining and mineral exploration organizations, including technical services, geology, exploration, mine operations, geotechnical, environment, compliance, data, digital and executive teams that need a governed view of technical information.

Discovery is focused on mine operations intelligence, including spatial planning, telemetry, survey, geotechnical, tailings, reconciliation, environment and compliance. Enterprise Intelligence is focused on mineral exploration and technical decision workflows, including portfolio intelligence, targets, drilling, assays, field records, digital twin, AI assistance, governance and technical disclosure.

Not necessarily. The platform is designed to sit above and connect systems already in use. GIS, laboratory, drilling, telemetry, document and planning systems can remain authoritative while Solarion Discovery normalizes context, lineage, permissions and cross-domain workflows.

The current Data Hub supports governed CSV, JSON and GeoJSON ingestion across operational and exploration domains. Authenticated REST ingestion is available for machine-to-machine workflows, with dataset source, version, user, timestamp, row count and record hash retained for lineage.

Yes. GeoJSON can be uploaded through the Data Hub and rendered as customer GIS layers in spatial workspaces. Enterprise deployments can extend the integration model for additional geospatial services and specialist source systems.

Yes. Operational telemetry can be ingested through authenticated machine interfaces. The achievable cadence depends on the source system, gateway and deployment architecture. External context feeds are kept separate from site-controlled telemetry so their authority is clear.

Yes. Historical projects, targets, drill records, assays, field observations, core intervals, technical documents and spatial layers can be imported into Enterprise Intelligence and associated with project context and lineage.

Discovery provides an operational workspace for Data Hub ingestion, operations intelligence, spatial planning, cost scenarios, survey and volumetrics, telemetry and fleet, geotechnical monitoring, tailings, reconciliation, environmental performance, compliance and operational AI insights.

Enterprise Intelligence provides portfolio and project intelligence for exploration targets, drilling, field observations, core, assays, geospatial context, exploration agents, capital scenarios, governance records and NI 43-101 evidence workflows.

Yes. Enterprise Intelligence supports portfolio-level views and project-specific workspaces. Users can move from executive portfolio context into targets, drilling, assays, field records and technical evidence for a selected project.

The Copilot is designed to work against the authorized project context available to the signed-in user. Relevant targets, drilling, assays and other connected records provide evidence context for the response. AI provider and source metadata can be retained with governed outputs.

No. AI is an assistance layer. Material state changes, technical approvals and controlled workflows remain subject to authorized human review. The platform is designed to preserve the distinction between model recommendations, deterministic application logic and accountable human decisions.

Governance controls can capture the user, project or site context, model or provider, source records, recommendation, approval state and resulting action. Decision and audit records are designed to preserve evidence context for later review.

Both secure workspaces use custom portal authentication and role-based access control. Discovery and Enterprise Intelligence have independent permission models, protected application routes and capability checks for sensitive actions.

No. Secure workspaces and custom login routes are configured with noindex, nofollow and noarchive controls and are excluded from the public WordPress sitemap and public search surface.

Imported datasets retain source, ingestion time, user, version, status, row count and SHA-256 record hashes where applicable. The objective is to keep technical evidence attributable as it moves through analytical, spatial and AI-assisted workflows.

An evaluation starts with a defined workflow and outcome, followed by a review of the source systems and data required, and then the identity, hosting, retention, integration and governance controls needed for the deployment.

Yes. Integration topology, identity requirements, data retention, AI provider configuration and source-system connectivity are scoped around the organization’s technical and security requirements. Final deployment terms are defined through the applicable commercial engagement.

No. The workspace organizes drill data, assays, QA/QC, geological interpretation, source documents, approvals and version history. It is an evidence-management environment and does not replace the Qualified Person or applicable professional and regulatory requirements.