Services
What GeoTelligence offers.
A combined practice across geospatial design, data modelling, engineering workflow design, data analysis, dashboard development and cloud-ready application delivery.
Nine service areas
From data model to working dashboard
Services can be engaged separately or as an integrated programme. Most engagements combine data modelling, platform design and analytical work.
Geospatial dashboard design
Map-first dashboards using asset data, risk indicators, filters, profile drawers and analytical summaries. Designed for engineers, operations teams and management — each getting the right view of the same underlying data.
- Asset map with multi-filter and spatial search
- Risk layer overlays and heat maps
- Asset profile drawers with linked data
- KPI panels and summary cards
- Mobile-responsive operational dashboards
PostGIS / spatial database modelling
Design of PostgreSQL/PostGIS schemas for assets, locations, inspections, reviews, evidence, recommendations and incidents. Built to support both analytical queries and operational web applications.
- Asset and location entity design
- Inspection, review and recommendation models
- Spatial indexing and query optimisation
- Evidence and document linkage model
- Audit trail and versioning design
Asset intelligence platforms
Systems that turn fragmented asset records into searchable, filterable and map-based decision tools. Starting from your existing data — Access databases, spreadsheets, legacy registers — and building toward live intelligence.
- Legacy data assessment and migration planning
- Structured asset data model design
- Search, filter and spatial query interfaces
- Condition, risk and status integration
- User access and role management
Engineering review workflow design
Review workbenches for engineers to assess evidence, photographs and documents, record decisions, assign risk scores and create recommendations. Designed around engineering judgement, not administrative process.
- Evidence and photograph review workbench
- Structured risk and severity recording
- Recommendation creation and assignment
- Review status and workflow management
- Audit trail for all review decisions
Data migration from Access, Excel and legacy systems
Modernising legacy Access databases, spreadsheets and siloed records into structured cloud-ready data models. Experience with the particular challenges of engineering and asset management data — inconsistent naming, mixed formats and partial records.
- Legacy data profiling and quality assessment
- Schema mapping and transformation design
- Duplicate detection and record normalisation
- Spatial reference matching and geocoding
- Validation and data quality reporting
Risk and compliance reporting
Dashboards for risk distribution, severity breakdown, overdue actions, recommendation status, compliance gaps and assurance progress. Designed for both operational use and regulatory review.
- Risk matrix and criticality scoring design
- Overdue action and backlog visibility
- Compliance gap analysis
- Recommendation lifecycle tracking
- Regulator-ready summary outputs
Prototype-to-production web applications
Rapid prototypes that can evolve into professional systems. Starting with a working demonstrator to validate the concept, data model and user workflow — then building toward a production-grade application.
- Working prototype in days, not months
- Clean Next.js / Postgres architecture
- Deployable to Vercel, Neon, AWS or on-premise
- API-first design for future integration
- Documented for handover or continued development
Advanced data analysis and BI
Exploratory data analysis, KPI design, spatial analysis, data quality checks, trend analysis and executive reporting. From raw asset data through to board-level dashboards and regulatory submissions.
- Data profiling and quality audit
- Spatial clustering and hotspot analysis
- KPI framework and metric design
- Trend and pattern analysis
- Executive and regulatory summary reporting
AI-assisted analytics and summarisation
Careful, targeted use of AI to support analytical work — not to replace engineering judgement. Summarising long records, clustering similar issues, identifying duplicates, flagging anomalies and generating structured summaries for review.
- Long recommendation and defect summarisation
- Duplicate and near-duplicate detection
- Similar-defect clustering and grouping
- Inconsistent risk rating identification
- Regulator-ready structured summary generation
How engagements work
Flexible and direct
GeoTelligence engagements are direct — no account management overhead, no junior delivery. You work with the practitioner who designed the system.
Typical starting points are a data assessment, a prototype demonstrator or a specific analytical deliverable. Engagements can then expand based on what emerges.
All work is delivered with clear documentation, clean code and data models that can be handed over to an in-house team or extended with additional developers.
Discuss your data and requirements
A confidential conversation about your asset data, existing systems, gaps and priorities. No obligation.
Agree a scope and starting point
A defined scope: data assessment, prototype, dashboard, migration or analytical deliverable.
Deliver a working output
A working demonstrator, analytical output or platform concept you can evaluate and build on.
Decide the next phase
Extend the platform, add modules or hand over to an in-house team — your decision.
Get in touch
Discuss a specific requirement
Whether you need a data migration, a working prototype, a geospatial dashboard or an analytical report — start with a conversation.