About

We turn spatial evidence into decisions people can understand and use.

Terropsis brings together geospatial engineering, data science, environmental modelling and domain-specific decision design.

Our purpose

Make location intelligence practical, transparent and decision-ready.

A map can reveal a pattern, but a decision system must also explain the evidence, confidence, trade-offs and action. We design geospatial work around that complete chain.

Our scope goes beyond one product. We support flood and hydrology studies, remote sensing, climate analytics, site selection, infrastructure planning, spatial optimisation and geospatial risk analysis.

Geospatial analytics landscape illustration

What our work looks like

Maps, models and decision systems working together.

We work at the intersection of terrain, infrastructure, climate, markets and people. The final output may be a screening score, a flood-risk map, a spatial dataset, an analytical report or a set of decision recommendations.

Our approach is to make the spatial logic visible, keep confidence explicit and ensure the result can be used by the teams making real decisions.

How we think

Principles behind our work.

Decision before technology

The correct model depends on the user, threshold, geography, consequence and time horizon.

Missing data is visible

Unavailable evidence is reported as a limitation, not silently interpreted as low or high risk.

Scale matters

A city statistic, catchment average and asset coordinate are not interchangeable.

Explainability is part of delivery

Weights, sources, confidence, assumptions and sensitivity should travel with the result.

Open and enterprise compatible

We can work with open-source GIS, public data and enterprise systems depending on project needs.

Production security matters

Credentials, provider calls, logs, rate limits and internal rules belong behind controlled server boundaries.

Capabilities

Geospatial, environmental and analytical engineering.

Projects can combine raster and vector analysis, remote sensing, hydrologic workflows, spatial statistics, optimisation, mapping and decision reporting.

PythonGeoPandasRasterioPostGISQGISGRASS GISWhiteboxToolsHydrologyRemote sensingSpatial statisticsOptimisationFlood mappingTerrain analysisAsset exposure