Eclipse SourceOne EKPS expansion: workflow AI in practice for plant engineers
Reviewed by Tom Sullivan
First reported on International Mining – News
30 Second Briefing
Eclipse Data Innovations has expanded its SourceOne EKPS platform so operations teams at large industrial and mining sites can build custom, AI-powered workflow tools directly from their own time-series and event data using natural language prompts. The upgrade is aimed at tasks such as plant downtime analysis, shift handover reporting and maintenance planning, without needing bespoke coding or separate data-science projects. For engineers, this points to faster deployment of site-specific decision-support apps tightly coupled to existing historians, MES and fleet management systems.
Technical Brief
- Eclipse frames the upgrade as a “major expansion” of the existing EKPS architecture, not a separate product.
- Workflow tools are intended to be “tailored to specific business challenges”, suggesting per-site configuration rather than templates.
Our Take
For operators already using project data environments, the move by Eclipse Data Innovations to embed AI into SourceOne EKPS suggests competitive pressure on incumbent engineering and document-control platforms to add similar, workflow-aware intelligence rather than generic analytics layers.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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