Map and review detected defects
Display potholes, surface damage, asset issues, or other detected conditions as precise spatial findings that teams can inspect and prioritise.
Built with Vasat
From spatial data to action, in one browser-based platform.
GMS centralises complex geospatial data, processing workflows, visualisation, analysis, and collaboration in one secure workspace. Manage projects, explore data across 2D, 3D, and time, automate processing, and deliver insights directly from the browser.
Browser-basedSpatial data management2D, 3D and time-seriesAPI readyFlexible deployment
What GMS does
One workspace for the entire spatial-data lifecycle.
Teams often store spatial files, project metadata, processing tools, reports, and analysis results across disconnected systems. GMS brings those workflows together so data can be organised, processed, visualised, measured, reviewed, and delivered from a unified environment.
Organise spatial files and project metadata in one structured environment
Process, measure, and analyse complex spatial datasets in the browser
Collaborate, report, and deliver results securely to the right stakeholders
Product experience
Everything you need, in one spatial workspace.
Centralise your spatial data
Bring project files, spatial layers, imagery, models, annotations, and metadata into one organised environment. Search, tag, retrieve, and manage information without relying on disconnected storage systems.
Explore data in 2D, 3D and over time
Visualise complex environments directly in the browser. Combine map layers, terrain, imagery, point clouds, meshes, and project information to understand conditions from every angle.
Measure and analyse
Inspect locations, create annotations, calculate areas and volumes, generate cross-sections, compare datasets, and convert visual information into measurable results.
Collaborate and deliver
Organise users, teams, clients, projects, findings, reports, and deliverables in a shared workspace. Make spatial information understandable to both technical and non-technical stakeholders.
How it works
Three steps from raw data to delivered insight.
01
Connect and organise
Upload spatial information or connect GMS to existing data sources. Organise files, projects, metadata, users, and access permissions in a structured environment.
02
Process and understand
Run processing workflows, combine layers, visualise environments, inspect features, measure conditions, and compare change over time — all from the browser.
03
Collaborate and deliver
Share findings, coordinate workgroups, generate reports, manage deliverables, and provide stakeholders with controlled access to the information they need.
Capabilities
Everything your spatial workflow needs.
Centralised Data Management
Manage spatial files, models, imagery, metadata, annotations, reports, and project outputs from one organised environment.
Browser-Based Visualisation
Access and explore complex spatial environments without requiring every stakeholder to install specialist desktop software.
Spatial Measurement and Analysis
Inspect coordinates, distances, areas, profiles, cross-sections, and volumes directly inside the project environment.
Time-Series and 4D Comparison
Connect spatial information to time so teams can review progress, compare conditions, and understand how environments change.
Pipeline Automation
Run repeatable data-processing, photogrammetry, conversion, analytics, and AI workflows through connected processing resources.
Metadata and Lifecycle Tracking
Record where information came from, why it was collected, how it has been used, and which project it belongs to.
Collaboration and Reporting
Create annotations, assign context, coordinate users and workgroups, produce reports, and share controlled project views.
API and Integration
Connect GMS to external applications, data sources, operational systems, processing tools, and custom interfaces through supported APIs.
Use cases
What teams can accomplish with GMS.
Monitor change over time
Compare surveys, imagery, models, and project conditions across different collection dates to understand how environments evolve.
Measure sites and materials
Calculate areas, profiles, cross-sections, and volumes for planning, validation, and reporting without leaving the browser environment.
Build operational digital twins
Combine spatial models with project, asset, and operational information in one navigable, browser-based environment.
Coordinate field and office teams
Give different stakeholders a shared view of locations, findings, annotations, and project context from a single workspace.
Deliver secure spatial experiences
Provide reports, project views, and spatial results through controlled, configurable experiences for internal and external audiences.
2D and 3D visualisation
See more than a static map.
GMS can combine multiple spatial layers and data types in one interactive environment. Move from broad geographic context to detailed project inspection without switching tools. Overlay vector data, terrain, imagery, point clouds, and custom project layers to build a complete picture.
The browser-based environment means every member of your team — technical or not — can navigate the same spatial view without installing specialist desktop software.
Measurement and analysis
Turn visual findings into measurable information.
Annotations, profiles, measurements, volumes, and cross-section comparisons let teams convert what they see in 3D environments into structured, reportable results. Identify conditions, mark findings, and measure what matters — all within the same project environment as your source data.
Processing results remain associated with the source data, project history, metadata, and collaborators rather than becoming isolated output files.
Spatial analysis
Keep processing connected to the project.
Elevation profiles, cross-sections, and time-comparison tools give teams a structured way to understand terrain, infrastructure, and environmental change. Results stay linked to the project, the team that collected the data, and the metadata that explains its context.
Processing output is not a separate deliverable — it is part of the spatial record, accessible and traceable within the same workspace.
Deployment and security
Designed for controlled spatial-data environments.
Different organisations have different security, storage, infrastructure, and access requirements. GMS deployment is configurable, not one-size-fits-all.
Managed cloud
Hosted and managed cloud deployment with organisational access controls and configurable storage.
Private cloud
Deployed within a dedicated cloud environment under your organisation's infrastructure and policies.
On-premises
Installed behind your organisation's firewall with data remaining in your controlled infrastructure.
Role-based access controlSSO, OAuth 2.0 and third-party authenticationCustomer-controlled data storageConfigurable access permissions
API and integration
Built to connect with your wider technology stack.
GMS can serve as the spatial layer within a larger operational environment. Through supported APIs and integrations, organisations can connect data sources, processing services, internal applications, dashboards, automation, and custom client experiences.
Data sourcesSpatial files, sensors, existing systems
GMS workspaceManage, visualise, process, analyse
APIs and deliveryApplications, reports, integrations
Frequently asked
Common questions about GMS.
GMS — Geospatial Management System — is a browser-based platform for managing the complete lifecycle of spatial and geospatial information. It brings together project management, file organisation, 2D and 3D visualisation, spatial analysis, processing pipelines, and team collaboration in one connected workspace.
Yes. GMS is designed to be accessed through a standard web browser without requiring every user to install specialist desktop GIS software. Teams can explore spatial environments, manage projects, and collaborate from the browser on desktop and supported mobile devices.
GMS is designed to work with a range of spatial data types including point clouds, 3D meshes, photogrammetry outputs, satellite and aerial imagery, vector datasets, terrain models, and project annotations. Specific format support depends on the deployment configuration.
GMS includes capabilities for comparing datasets across different collection dates, allowing teams to understand how environments, assets, or conditions have changed between surveys.
GMS is designed to connect to external data sources, processing services, and organisational systems through supported APIs and integrations. Organisations can use these connections to extend GMS into broader operational workflows.
GMS can be deployed in configurations suited to the security, infrastructure, and access requirements of different organisations. Options include managed cloud, private cloud, and on-premises environments. Contact the team to discuss the arrangement that fits your organisation.
No. Vasat is an underlying application framework that provides core services including authentication, storage, notifications, APIs, and processing infrastructure. GMS is a purpose-built geospatial product created using that framework. GMS adds the spatial data management, visualisation, measurement, and workflow capabilities that geospatial teams need.
Request a GMS demo
See what your spatial data can become.
Bring your projects, processing, visualisation, analysis, and collaboration into one connected geospatial environment.
What to expect
A focused discussion about your spatial data, project workflows, team structure, infrastructure requirements, and the outcomes you need to deliver.