Ask questions in natural language
"What's the average grade of the Measured category above 200 mRL?" — the AI Assistant answers with the exact block-model slice, the underlying compositing rules, and the SQL-equivalent query it ran.
Ask questions, auto-fill workflow parameters, catch anomalies and draft narratives — always grounded in your project data, always with a human in the loop.
"What's the average grade of the Measured category above 200 mRL?" — the AI Assistant answers with the exact block-model slice, the underlying compositing rules, and the SQL-equivalent query it ran.
Get sensible starting values for iso-value cutoffs, search neighbourhoods, slope zones and revenue factors — calibrated against your project's own statistics, never hard-coded defaults.
Flag likely QAQC issues, negative kriging weights, orphan blocks, and out-of-envelope grade shells before they contaminate downstream stages.
Generate first-draft paragraphs for your code-compliant report sections — always editable, always attributed to the human competent person for sign-off.
The AI Assistant proposes; the competent person disposes. Every material recommendation requires a human accept/reject before it lands in the project record.
The Assistant only reasons over your project's own statistics, tables and metadata — no hallucinated numbers, no drift into non-project trivia.
Report output is 100% deterministic and free of any "AI-generated" language. External deliverables read as traditional professional engineering documents.
Every Assistant interaction is logged with the exact prompt, response, dataset SHA-256 hash and the CP who accepted or rejected it. Nothing happens off-the-record.
Book a 30-minute demo — bring a dataset (or use ours) and see the Assistant reason over real drillholes.
Request Demo