Real tools that plug into your existing workflow. QA/QC your drillhole data in seconds. Find significant intercepts. Compare projects. All running locally—your data never leaves your machine.
Flags missing intervals and overlapping sample depths within each drillhole. Catches data entry and lab reporting errors before they propagate into a resource model.
Scans every geochemical column in the file. Flags values beyond 3σ per element—Au, Cu, Zn, As, Sb, all of them. Flags but never deletes. Statistical outlier is not the same as geological anomaly.
When multiple elements spike in the same interval, you need to see it explicitly. Either a real mineralised zone or a contamination event. MineSignal surfaces both.
Standards, blanks, and duplicates evaluated automatically. CRM values checked against expected ±2σ. Blanks flagged above detection limit. Duplicate pairs flagged at RPD > 20%.
Duplicate locations, null coordinates, points outside the project bounding box. The kind of errors that break a spatial database but hide in a spreadsheet.
Your data stays on your machine. Zero network calls. Drill results are material non-public information—we take that seriously.
CLI, MCP server, QGIS plugin. MineSignal plugs into tools you already use rather than asking you to learn a new platform.
Not a data science project looking for a geology use case. Founded by geologists who've done this work manually and built the tools they wished existed.
QA/QC your assay data in seconds. Find intercepts. Generate drill reports. Spend your time on geology, not data wrangling.
Standardise your QA workflow across every client project. Consistent checks, consistent output, audit-ready documentation every time.
Ship drill results faster. Automated QA flags catch errors before they reach a resource model or a press release. Tools your whole team can use from day one.
MineSignal Verify is in beta. We're onboarding a small group of geologists and exploration teams to test the tools and help shape what we build next.