Open architecture, production discipline
Open-Source GIS Implementation
We design, implement and administer open-source GIS environments using QGIS, QGIS Server, Lizmap, PostGIS, GeoServer, Leaflet, PyQGIS and Python. Connect desktop editing, web publishing, field capture and data integration in one maintainable workflow.
No polished brief required. Start with the corridor, asset data or workflow that is holding delivery back.
Where delivery breaks down
The workflow problem
Open-source components are powerful, but production use depends on architecture, security, integration, support and documented ownership.
Licensing shapes the workflow
Teams may be adapting processes to commercial packaging instead of selecting components for the job.
A proof of concept never becomes a service
Desktop projects and scripts lack deployment controls, monitoring, documentation and support boundaries.
Integration becomes custom debt
Interfaces are built without stable schemas, APIs, testing or a clear upgrade path.
A controlled delivery workflow
From first review to operational handover.
Fit and risk assessment
Evaluate workflows, user roles, data volumes, integrations, security, availability and internal support capability.
Architecture and standards
Define components, environments, data ownership, publishing rules, access, backup and release controls.
Build and integrate
Configure the spatial database, desktop projects, services, web maps and automation around real use cases.
Operationalise and hand over
Test, document, train and establish monitoring, support and an upgrade process.
What you receive
Specific deliverables, agreed before rollout.
Final formats and acceptance criteria are confirmed during discovery and tested during the pilot.
- Open-source GIS solution architecture
- PostGIS schemas, roles and spatial data structures
- QGIS projects, forms, styles and reusable templates
- GeoServer services and publishing configuration
- Leaflet web mapping components where required
- QGIS Server and Lizmap publishing, permissions and web application configuration
- PyQGIS and Python automation
- Integration and API specifications
- Deployment, backup, support and upgrade runbooks
Operational outcomes
What should be different after the work.
More architectural control
Components and data remain transparent, portable and adaptable to the operating environment.
Production ready workflows
Projects, services and automation are documented and governed beyond the initial build.
A deliberate support model
Internal ownership and external support boundaries are agreed before the system becomes critical.
Platforms and methods
Tools selected around the operating requirement.
Handover is part of delivery
Your team receives more than final files.
We provide configuration, source code, schemas, deployment instructions, backup and recovery steps, support boundaries and an upgrade plan. Training covers both daily users and the people responsible for operating the environment.
Common buyer questions
What teams usually need to clarify.
These answers describe our normal approach. The project review confirms what applies to your environment.
Is open source always cheaper?
Not automatically. Licence cost is only one part of total cost. Architecture, hosting, integration, support, upgrades and internal capability must be assessed together.
Can open-source GIS integrate with Esri or other enterprise platforms?
Yes. Mixed environments are common. We define data exchange, services, APIs, identity and ownership so each component has a clear role.
Do you deploy QGIS and PostGIS for enterprise teams?
Yes. The work can include schemas, access, templates, publishing, mobile field workflows, automation, documentation and operational support design.
Who maintains the solution after handover?
That is agreed during discovery. We can hand over to an internal team, provide ongoing specialist support or use a shared operating model.
Connected capabilities
Related work that often sits beside this service.
GIS Consulting and Implementation
GIS strategy, geodatabase architecture, system implementation and integration for telecom and infrastructure teams across Europe, USA and APAC.
Explore this service →GIS Automation and ETL Workflows
Python, FME, PyQGIS and spatial ETL workflows for repeatable GIS processing, validation, integration and reporting.
Explore this service →Asset Inspection and Mapping
Structured field surveys, asset inspection, mobile GIS capture, imagery and GIS integration for telecom and infrastructure programmes.
Explore this service →A low-risk first step
Review the workflow, data and next delivery decision with our team.
Share one representative work package, dataset or stalled workflow. We will identify the missing inputs, acceptance gates and smallest pilot that can produce a useful decision.
Start with a focused scope. Agree the inputs, outputs and acceptance criteria before scaling.
