Flood and drainage intelligence
Catchment, rainfall, runoff, water-level and inundation workflows for planning, screening and resilience.
Explore flood modelling →Solutions
Geospatial solutions for location intelligence, risk, infrastructure and agriculture.
A solution combines the right spatial data, model depth, domain rules, validation and delivery format. These solution patterns can be configured for a site, network, catchment, farm area or asset portfolio.
Solution snapshots
Illustrative solution areas.
Each snapshot shows a common decision environment, the evidence we prepare and the page where you can explore that solution in more detail.
Geospatial site selection
Compare demand, access, competition, cost, hazards and policy constraints with transparent weights.
Explore site selection →Asset and portfolio risk screening
Identify concentrated exposure, data gaps and priority locations across distributed asset portfolios.
Explore GeoRisk →Climate risk assessment and ESG exposure
Screen flood, heat, water stress, storms, wildfire and environmental sensitivity with scenario context.
Infrastructure risk analysis and service-gap planning
Combine population, facilities, travel access, urban form and vulnerability to prioritise investments.
Remote sensing agriculture and farming
Track vegetation, crop condition, land cover, moisture, water, soil and change through repeatable satellite workflows.
Explore agriculture monitoring →Disaster readiness and response
Map hazard exposure, vulnerable populations, emergency access, facilities, fuel and logistics support.
Solution FAQ
How to choose a geospatial solution.
How do you choose a geospatial solution?
Start with the decision, geography, required confidence, available data and consequence of being wrong. The right workflow may be flood modelling, site selection, remote sensing, climate screening, infrastructure analysis or a combination of methods.
What are geospatial solutions used for?
They are used to compare locations, map risk, monitor land and agriculture, plan infrastructure, screen assets, understand accessibility and turn spatial data into decision-ready reports, maps and GIS layers.
What data is needed for a geospatial solution?
Useful inputs include coordinates, boundaries, asset lists, satellite imagery, terrain, rainfall, roads, facilities, land cover, market context, climate hazards and local validation evidence.
Can one solution cover multiple domains?
Yes, but scoring and interpretation should change by domain. Banking, insurance, agriculture, infrastructure and logistics decisions may share spatial signals while applying different weights and validation rules.