The team
Geotechnical domain expertise that knows what the ground is doing, combined with the software, data and analytics engineering that builds the tools to see it. The combination is rare, and it's the reason any of this is possible.
From data to decision, faster — cutting through the noise and surfacing what matters, so your people spend their time on judgement instead of manual processing.
Noise conditioned into a readable signal. Alarm and threshold performance reviewed against your real data. The signal that matters surfaced early — so your people spend their time on judgement, not manual processing.
We deliver this today, and we're building it further.
Solutions 02 — data, but not decisionsMost monitoring firms have one or the other. DTG has both — working the same problems, in the same room. That's why our analytics are built in-house rather than bought in, or wrapped around someone else's black box.
Geotechnical domain expertise that knows what the ground is doing, combined with the software, data and analytics engineering that builds the tools to see it. The combination is rare, and it's the reason any of this is possible.
The tools below aren't a roadmap. We've built them, and we run them every day on live operations — that's where they were proven, and where they keep improving.
We develop our own analytics, and we don't publish them. That's deliberate — it's what you're getting that you can't get elsewhere, and we'd rather it stayed that way.
Some of these we've already built; others we build with you. The idea is constant: make monitoring simpler, faster and less manual.
Your noisy data, made readable.
Stop drowning in alarms.
The system flags what matters, before a person has to.
Built for your problem, by people who can build it.
These aren't tools waiting for a client. They run every day across live mining operations — reviewing the data, filtering the alarms, surfacing the movement that matters. The record of what that's caught sits with the environments themselves.
Automation handles the repetitive work; qualified engineers keep ownership of interpretation and decisions. It's engineering judgement supported by advanced analytics, never replaced by it. Analytics runs on consolidated data — see Technology integration.
We learn your monitoring, your data and the manual pain.
Apply proven tools, or build what your problem needs.
The repetitive work runs itself, consistently.
Engineers act on clear signals, not raw noise.
Repetitive processing handled automatically.
Clear signals surfaced without waiting on manual review.
Alarms and thresholds tuned from your real data.
Your engineers freed for the calls that need them.
No. Advanced analytics and automation handle repeatable processing, flagging and prioritisation — but interpretation and decisions stay with qualified engineers. It's engineering judgement supported by analytics, not replaced by it.
Because they're ours. We develop our own analytics rather than reselling someone else's, and we don't publish the detail — that's the edge you're engaging us for. We're happy to walk through what a method does, and what it's been proven on, with a client under agreement.
Integration gets all your data into one governed place; analytics is the interpretation on top — quality analysis, trends and insight. Integration is the foundation; analytics is what you learn from it.
Yes. We're technology-agnostic and analyse data from your existing sensors and platforms across vendors — we don't require a particular system to work from.
No. Analytics does the heavy lifting on processing and pattern-finding so your engineer can focus on interpretation and decisions. It strengthens their judgement rather than substituting for it.
Both. We can run a one-off analysis on a specific dataset or question, or provide ongoing automated processing and interpretation as part of continuous monitoring.
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Tell us where the manual work piles up — we'll show you what can be automated.