Mining
Chile is the world's largest copper producer and your operation generates up to 2TB of data per day. Even so, shift reports, safety records, and KPIs are assembled by hand. We serve mining and its suppliers through the premium track. We automate the internal records and reports that consume your team's hours today. Where data is sensitive, the model runs on your own infrastructure: it never leaves the site and helps you comply with Law 21.719. And with a fractional CTO/CAIO you put technical governance in order: priorities, vendors, and measurable progress.
— Harvard Business School / Rio Tinto
The problems
Up to 2TB of operational data per day — and shift reports are still assembled by hand. On top of that, the data can't leave the site.
Reports are assembled by hand every shift
Data that already exists in sensors and systems gets retyped into spreadsheets. Engineer hours spent copying and pasting.
The data can't leave the site
Production, safety, and costs are sensitive information. Sending them to just any cloud is not an option.
Every vendor pushes its own platform
Without a technical owner of your own, projects get bought on hype and end up half-finished.
Millions of readings, no context
Sensors generate data that systems process as isolated numbers. The patterns that matter slip by.
Our solutions
Mining
Internal automation of records and reports
Sensor and system data feeds shift, safety, and KPI reports on its own. Your team reviews instead of typing.
Local models for sensitive data
The model runs on your own infrastructure, even offline. Your data never leaves the site and helps you comply with Law 21.719.
Operations co-pilot with human approval
It consolidates, analyzes, and flags deviations. It doesn't replace the role: it amplifies it. A person approves whatever moves money or has legal effect.
Fractional CTO/CAIO technical governance
An owner who sets priorities, keeps vendors in check, and answers to management with measurable progress.
Related services
Internal process automation
Running on its own
Your own fine-tuned model, deployed locally
Your data never leaves
Role Co-pilot: an AI assistant per business function
Augment, not replace
Fractional human oversight
Human accountability
Fractional CTO/CAIO
Leadership for a fraction
Frequently asked questions
What do you diagnose first in Mining?
We start with the operational pain, usually around Reports are assembled by hand every shift: Data that already exists in sensors and systems gets retyped into spreadsheets. Engineer hours spent copying and pasting. From there we decide whether the issue is process, data, systems, leadership, or a mix of them before proposing any implementation.
Do we need AI or a new platform to solve it?
Not by default. In Mining, the right answer can be a process change, integration, automation, dashboard, custom software, or no build at all. We only use AI or advanced data architecture when the diagnostic shows it will change the business result.
What could an initial project look like?
A first scope often targets Internal automation of records and reports: Sensor and system data feeds shift, safety, and KPI reports on its own. Your team reviews instead of typing. We keep the scope tied to one measurable outcome, clear ownership, and the capacity your team actually has to operate the change.
How does fractional CAIO/CTO support work here?
We act as fractional technical leadership for Mining: prioritizing risks, turning The data can't leave the site into concrete operating decisions, selecting or coordinating vendors when needed, and supervising implementation until the change is working in the business.