Our approach

The method matters
as much as the map.

Reference systems, source quality and evidence links determine whether a spatial result can support a decision.

Founder technical background

The work below describes founder experience supplied in the original design reference. It is distinct from UGAC company contracts, customer traction and product validation.

Levelling network adjustment

Founder background in high-precision levelling software, sparse least-squares adjustment, outlier testing and orthometric-height workflows.

Relevant to reference systems, network consistency and quality-control reporting.

GNSS processing automation

Founder background in Python pipelines for observation retrieval, quality checks and processing workflows using GAMIT/GLOBK and PRIDE PPP-AR.

Relevant to repeatable processing and documented coordinate quality.

Terrain & inundation scenarios

Founder background in combining elevation, terrain and drainage layers in QGIS for scenario-based spatial exposure analysis.

Relevant to transparent assumptions and responsible interpretation.

What a project should document

Source & reference

Origin, acquisition period, licence, coordinate reference system, datum and epoch where relevant.

Quality & validation

Method, checks, independently observed validation where available, and explicit limits on interpretation.

Delivery & review

Traceable outputs, supported formats and an agreed review and acceptance process.

Read the data & quality approach

Start with the problem

What does your team need
to know, measure or monitor?

Discuss your project