Prospectivity mapping
Spatial intelligence built from integrated geological evidence rather than decorative guesswork.
Bytownite Geoscience helps projects move from scattered datasets to defensible targets, clearer interpretation, and practical workflows that keep geology in command.
Spatial intelligence built from integrated geological evidence rather than decorative guesswork.
Models that make sense in the field, not only in conference slides and hopeful emails.
Support for mineral systems, vectors, and project-scale decisions grounded in evidence.
Technical results translated into useful decisions for field teams, managers, and collaborators.
Built for teams that need more than attractive maps. The goal is defensible targeting, interpretable systems, and outputs that can survive contact with reality.
Geologically informed targeting workflows that turn scattered datasets into exploration-ready maps and ranked areas of interest.
Target smarter βIntegrated spatial analysis for geology, geochemistry, geophysics, and remote sensing built for practical decisions, not just nice screenshots.
Integrate evidence βEnd-to-end mineral prospectivity mapping pipelines from data curation and feature engineering to model interpretation.
Build workflow βProcess-focused support for critical mineral systems, ore-forming controls, and technically rigorous geological interpretation.
Model systems βClear interpretation for technical teams, reports, proposals, investor-facing material, and strategic discussions.
Clarify decisions βPractical support for teams adopting data-driven methods without stripping out geological reasoning along the way.
Upskill teams βAdvanced analytics can accelerate the work, but geology still has to lead. Faster is helpful. Defensible is the part that matters.
Models and spatial analytics narrow the search space, but ranking and interpretation still need to make sense to the people funding, planning, and executing the work.
Project data is combined with geological, geochemical, geophysical, and spatial layers relevant to the deposit style and project stage.
Data is cleaned, structured, and translated into an interpretable workflow instead of an unholy pile of mismatched formats.
Machine learning, spatial analysis, and geological reasoning are used together to rank targets and reduce noise.
Clients receive maps, ranked targets, technical interpretation, and workflows that can actually be used by real teams.
Bytownite Geoscience combines exploration thinking, systems interpretation, and geospatial workflows to help teams cut through uncertainty and move toward better decisions.
Bytownite Geoscience also builds software for real project use. Right now that starts with Drill Progress Pro, with Android live and the iOS version on the way.
A practical app built to help teams track drill progress, keep daily reporting cleaner, and reduce the usual spreadsheet sprawl that somehow still runs half the industry.
A few practical answers before anyone starts assuming a model is magic.
Letβs discuss your project, your data, and what useful outcomes actually look like for your team.