Services
Database management & automation

Reduce repetitive work.
Keep the geological judgment.

MX Deposit setup, import support, and ongoing database management for exploration teams, alongside practical scripts and tools that make recurring data work easier to review.

01 / The need

Small inefficiencies become expensive when they recur across every project.

Downloading the same public data, renaming files, reprojecting layers, checking fields, preparing routine figures, and assembling updates can consume technical time without improving the geological interpretation.

The answer is not always a large software project. A documented script, a repeatable folder structure, or a small internal application can often remove the mechanical steps while keeping source provenance and human review visible.

Typical deliverables

Useful files, clear assumptions,
and a practical handoff.

01

MX Deposit setup and imports

Project configuration, field mapping, import templates, and support preparing and checking incoming exploration data.

02

Database management and ongoing support

Routine data updates, validation checks, duplicate and missing-record reviews, and troubleshooting import failures or recurring database issues, with a documented issue log.

03

Data structure and source register

Consistent folders, GeoPackages or databases, field conventions, and traceable links back to the original sources.

04

Python scripts and utilities

Focused tools for repeatable conversion, validation, download, reporting, or preparation tasks.

05

Lightweight internal applications

Simple interfaces when non-technical users, repeated runs, or structured review make a small app more useful than a script.

06

Documentation and handoff

Setup notes, operating steps, known limitations, and a maintainable path for future changes.

Working approach

Built around the decision,
not just the software.

The exact workflow depends on the source data, intended use, confidentiality, and professional requirements. Those constraints are confirmed before work begins.

01

Map the current workflow

Identify inputs, outputs, decisions, exceptions, review points, and the steps that consume time or create errors.

02

Automate the stable parts

Build the smallest reliable solution around repeatable mechanics while leaving interpretation and approval with the right person.

03

Test the real handoff

Run the workflow on a representative project, document edge cases, and make sure another user can understand the output.

A sensible first engagement

Start with an MX Deposit setup, a troublesome import, or a database health review. Agree the initial fixes and documentation, then define an ongoing support scope for routine updates, maintenance, and issue resolution.

Scope the first sprint →
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