Excavation continues against the original assumption. Design decisions are made without acknowledging a shift. By the time someone raises the alarm or assembles a claim, the project has moved on, the record is fragmented, and the cost of resolving it has multiplied.
Early identification of variances can reduce DSC cost escalation. The earlier the variance is flagged, the more options the project has.
Once informally in the field when someone says "this doesn't look like what we were expecting," and again months later when a claims manager assembles the evidence. Between those two moments, the record becomes fragmented. Photos on different phones, notes in different books, observations in Teams chat threads.
Three stages. Two products. One connected workflow from face to decision.
Underground conditions recorded in 3D with rock mass classifications and photographic evidence, time-stamped at the point of observation.
Strata enables easier comparison of GBR predictions, design assumptions, or modelled conditions overlaid against current captures.
When conditions diverge, the record is already generated. Variances are documented with a specific date and location.
Capturing underground conditions is the starting point, but identifying a Differing Site Condition requires monitoring of ongoing datasets of what was predicted vs.what was encountered. Strata structures data so that it's easy to compare baseline data (GBR, forecasts, model predictions) and current datasets (from Lithos).
Time and location-based ground records enable early identification of differing site conditions based on real, visible data.
Differing Site Conditions flagged as they are encountered, not months later. Time-stamped photographic and 3D datasets of the variance, tied to the exact location. A dataset that can be easily compared against the GBR, regardless of who is capturing the data. An early-detection record that promotes proactive mitigation and strengthens contemporaneous documentation.
Data captured in Lithos flows directly into the Grounded platform, where teams can review conditions, generate reports, and align on decisions.
We'll walk through the capture-to-comparison workflow with a real tunnelling scenario.
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