INFRASTRUCTURE INTELLIGENCE FOR THE BUILT ENVIRONMENT

Engineering
the digital twin.

Gromatica.AI is the visual operating system for the built environment. We turn aerial scans, mobile mapping, and ground-survey capture into living digital twins of bridges, railways, sites, and cities — measurable, segmented, and ready for engineering work.

Domain
Infrastructure surveying & AI
Pipeline
Capture · Computation · Deployment
Output
Living digital twin
Accuracy class
Centimetric · ±12 mm
§ 01
The platform

Three layers between a sensor and a structural decision.

Infrastructure is no longer poured — it is scanned, segmented, and simulated. The Gromatica stack lifts raw capture into a reasoning surface engineers can interrogate: layer by layer, with provenance preserved at every step.

01CAPTURE

Sensors over the corridor.

Aerial UAV sweeps, mobile-mapping vehicles, and terrestrial stations co-register into a single coordinate frame. The site is re-read as XYZ, not as drawings.

  • AerialUAV · LiDAR
  • MobileVehicle SLAM
  • GroundTotal station
02COMPUTATION

Point-cloud AI does the reading.

Semantic segmentation isolates piers, decks, rails, slabs. The mesh becomes structural, not just geometric — every element labelled, dimensioned, and queryable.

  • SegmentationNeural
  • ReconstructionMesh + BIM
  • ProvenanceStamped
03DEPLOYMENT

A twin the engineers actually use.

The result is a living model with an exception register and on-demand briefings — usable in the field, in the office, and at the table where the structural decisions are made.

  • TwinWeb · WebGL
  • RegisterExceptions
  • BriefingsAuto
§ 02
Capabilities

What the platform reads from a structure.

Each scan resolves into discrete, named elements — piers, spans, ballast, rolling stock, vegetation, utilities. The twin is not a picture of the asset; it is a measurable description of it.

01

Geometric capture

Raw XYZ coordinates collected by LiDAR and photogrammetry, co-registered to a single survey frame.

XYZ
02

Semantic segmentation

Neural classifiers split the cloud into discrete structural classes — rail, sleeper, pier, deck, vegetation.

CLASS
03

Reconstructed twin

Segmented clusters lift into a measurable mesh / BIM model, dimensioned and queryable element-by-element.

MESH
04

Exception register

Deviations from design tolerance surface automatically into a tracked, time-stamped register of work.

LOG
05

Briefings on demand

The twin is queryable in plain language — engineers ask, the model answers, with figures and citations.

BRIEF
§ 03
Principles

How the system is built.

Gromatica is a engineering-first platform. The interfaces, the data model, and the voice of the product are all shaped by the discipline of structural reporting.

P · 01

Specifics over hype.

Every assertion is a measurement. The twin never claims; it cites the coordinate, the timestamp, and the sensor that read it.

P · 02

Provenance preserved.

Raw capture is not discarded. The chain from XYZ to segmented cluster to structural element is auditable end to end.

P · 03

Built for the field.

The twin runs in a browser. Surveyors, structural engineers, and operators share one frame — no plugin, no proprietary viewer.