01.
Discovery
1–3 months
Walk the section, interview operators and planners, audit what you already collect, and write a baseline you can measure against.
Mining
The intelligence layer for underground mines
Mine data platform, real-time KPIs, predictive maintenance, and practical tools for the workforce.
We're bringing what we've learned building for low-connectivity, high-adoption environments to underground mining.
The intelligence layer
Mine data platform
Telematics, shift reports, maintenance and production data in one place.
Real-time KPI dashboards
Production, fleet availability and use, cycle times and metres versus plan.
Short interval control
Progress tracked against the shift plan, with early alerts when crews or machines fall behind.
Predictive maintenance
AI models on telematics and breakdown history, plus digital job cards.
AI mine assistant
Managers ask questions like 'Why did we miss tonnes on night shift?' and get answers from the mine's own data.
Automated reporting
Production, MHSA and SLP reporting.
Smart portal and gate control
Number plate recognition and vehicle counting at the mine gate and decline portal, logging which vehicles and machines enter and leave and when.
Practical tools for the workforce
Technology only works if the people on site use it, so we design for how teams actually work.
WhatsApp workforce channel
Shift instructions, safety alerts and production updates in English, Afrikaans and Setswana.
Report by WhatsApp
Photo or voice note of a breakdown or hazard; AI turns it into a job card or incident report.
QR codes on every machine
Pre-use checklists, fault logging, service history.
Digital toolbox talks and safety briefings
Signed off digitally, attendance tracked automatically.
Micro-learning and inductions
Short modules and recorded safety videos, ticked off once watched, with a short check.
Workforce self-service
Rosters, leave requests and notices on WhatsApp.
Phone-based tools are used at surface, in workshops and before and after shifts, in line with site rules. Underground reporting runs on approved offline tablets.
Connectivity, built for underground
Offline-first apps, on-site edge server, and network design with your IT team.
Offline-first apps
Apps work without signal and sync at surface or designated sync points.
On-site edge server
Data captured underground syncs to an on-site server. The cloud is a copy, not a dependency.
Network assessment and design
We work with the mine's IT team to assess coverage and design the right solution: Wi-Fi mesh, private LTE/5G, leaky feeder, or hybrid.
Rollout with certified partners
Underground network installation and commissioning with certified infrastructure partners.
From underground to dashboards
Underground devices (offline)→
Sync points→
On-site edge server→
Secure sync→
Cloud→
Dashboards
Integrated, not rebuilt
Collision avoidance (CAS), fatigue monitoring, personnel tracking, OEM telematics and networks come from certified providers. We bring their data into one platform.
| We build | We integrate |
|---|---|
| The software layer: one data platform, on-site sync, dashboards, checklists, onboarding and reports | Collision avoidance (CAS) |
| Workflows for control, supervisors and the workshop | Fatigue monitoring |
| Records the mine owns, with role-based access | Personnel tracking |
| Production, MHSA and SLP reporting from those records | OEM telematics and underground networks |
Phased approach
Each phase is a decision. The next one does not start unless you say so.
Start
Go / no-go gate
02.
Pilot
4–12 months
One section. Supervisors use it on shift. If they do not, the programme stops here.
Go / no-go gate
03.
Scale
13–24 months
Take the same setup to further sections. No new promises, and another gate before each step.
Go / no-go gate
04.
Optimise with AI
25–36 months
Use the history you have built. Prediction only where the data is good enough to trust.
You can stop at any gate.