Xanadu · Substrata

Find the void before the road does.

Substrata reads ground-penetrating radar from any vendor into one model and surfaces subsurface cavities, pipes, and manholes — AI-assisted interpretation that runs in the browser, on the survey you already have.

Longitudinal, cross, and plan sections rendered live — AI detections drawn as you sweep.

Why Substrata

Built on one principle: what you train is what you infer.

01

Vendor-neutral

Raw survey files from any radar — read into a single canonical model. Add a new instrument, and detection, labeling, and export don't change.

02

AI that learns your ground

Pre-trained on physics-simulated radar, then sharpened on your own surveys. Every correction an analyst makes becomes training data.

03

Runs in the browser

No install, no vendor lock. Open a survey, sweep the sections, review detections in 2D and 3D — from any machine.

How it works

Every survey makes the next one sharper.

01 — Ingest

Read any radar into one model.

t3r, DZT, rd3, SEG-Y — raw survey files from any instrument are parsed into a single canonical representation. Add a new vendor and nothing downstream changes.

02 — Detect

AI finds what the eye misses.

Pre-trained on physics-simulated radar, the model flags subsurface cavities, pipes, and manholes across longitudinal, cross, and plan sections — automatically, in seconds.

03 — Review

The analyst stays in command.

Every detection is a proposal, not a verdict. Accept a box with one click, correct it, or add what was missed — right there in the browser. No detection is ever trusted blindly.

04 — Improve

Every correction trains the model.

Those clicks aren't discarded — they become labels. The model retrains on your ground, your instruments, your soil. Each survey makes the next detection sharper.

Capabilities

From raw trace to reviewed report.

Multi-view rendering

Longitudinal, cross, and plan sections with live A-scan and spectrum — the whole cube at a glance.

AI void & utility detection

Cavities, pipes, manholes and boxes flagged automatically. Accept a box with one click; it becomes a label.

2D → 3D fusion

Per-face detections fused into 3D boxes, positioned in real-world coordinates over the road.

On-screen calibration

Dewow, background removal, gain, zero-time — the same render pipeline used for training and inference.

Labeling built in

Draw, resize, reclass, undo. Annotations stored in canonical coordinates, upscale-invariant.

Export & interchange

Datasets and results out to standard formats — a bridge between instruments, not a silo.

Where it's used

Under every road that can't be allowed to fail.

  • Road subsurface void & sinkhole precursor surveys
  • Statutory underground-safety inspections
  • Utility & buried-pipe mapping
  • Manhole and buried-structure location
  • Post-excavation verification
  • Multi-vendor survey consolidation
Night landscape

See Substrata on your own survey.

Send us a few files. We'll run detection on your data and show you what it finds — no commitment.