See inside structures. Act on certainty.
MFT fills a long-standing gap in non-destructive testing. It is a safe, passive way to find structural problems several metres below the surface, giving engineers the evidence they need to make difficult decisions while keeping repair costs and environmental impact down.
Areas of expertise

Deep & accurate detection
Finds voids, tendon breaks and rebar defects several metres deep in reinforced concrete, well beyond the reach of conventional NDT.
Your data in our platform
Explore your scan results, run your own analysis and review our ML-driven insights, all in one place.
Cut renovation costs
Accurate subsurface data lets owners maintain only what needs maintaining, which avoids unnecessary reconstruction and lowers cost.
Millimetre precision
High-resolution reconstruction resolves features down to 3 mm, so you know not just that something is there, but exactly where.
Minimal traffic disruption
Inspections run on in-service assets and fit around your schedule, with little disruption to traffic or the public.
Zero radiation
Muon tomography relies on natural cosmic particles, so it is safe for operators, the public and the structure itself.
Where your scan data becomes actionable insight
Once your team has run a scan, our proprietary ML models process the raw data and surface what matters.
The results land in your GScan workspace, where your engineers can explore the data, run their own analysis and review the insights our models surface.
Explore the raw scan data
View the full 3D reconstruction of your asset and slice through it at any depth. The data behind every finding is there for you to check.
Run your own analysis
Measure, annotate and compare regions of interest. Build the case for a maintenance decision using your own engineering judgement, on top of our data.
See where the ML is looking
Our ML algorithms generate precise models of the internal structure of your asset - giving you the information you need to assess confidently.
Share it with your team
Bring colleagues and clients into the same workspace, so everyone reviews the same evidence rather than passing files around.

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