Geospatial intelligence across seven domains.

Concrete examples of how GeoTelligence applies map-first thinking to infrastructure risk, asset assurance, marine review, shipping intelligence, OSINT analysis, civic incident reporting and ecological monitoring.

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Private demo available on request

Rail Structures Safety Review Platform

Bridge, culvert and railway structures asset intelligence

Based on experience designing and analysing a 2012/13 Amey-delivered Detailed Examination Review process for Network Rail structures. This is not a current Network Rail operational system.

A modernised DER-style asset intelligence and review dashboard for bridges, culverts and railway structures. The platform provides map-first views of the asset estate, structured review workflows and risk-based prioritisation tools.

Problem

Rail structures data, examination records, recommendations, risk scores and location references are often fragmented across legacy systems, spreadsheets, Access databases and asset registers. Visibility of backlog, risk distribution and recommendation status is limited and difficult to aggregate.

Approach

  • Asset = physical bridge, culvert, wall, tunnel or structure
  • Exam = source examination evidence and photographs
  • Review = engineering judgement and recorded decisions
  • Risk score and severity = review outputs with traceable rationale
  • Recommendation = review output with lifecycle tracking
  • Evidence = documents, photos, reports linked to asset and exam

Technologies / methods

PostgreSQL / PostGISNext.jsMapLibre GLNeon / AWSReactREST API
Rail Structures Safety Review Platform — map-based asset review dashboard

Outputs

UK map of assets filtered by route, asset type, severity and risk
Asset profile drawer with exam, review and recommendation history
Backlog and overdue-action visibility
Risk-based prioritisation across the asset estate
Recommendation lifecycle management (open, in progress, closed)
DER baseline narrative and historical comparison
Evidence pack generation for audit and regulatory review
Future-ready modules: incident, bridge strike, climate overlay
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Private demo available on request

Marine Asset Review System

Engineering review and assurance workflow for marine assets

A structured engineering review and assurance workflow for ship or marine assets, documents, photographs and recommendations. Supports survey evidence management, defect recording, recommendation lifecycle and status reporting.

Problem

Marine inspections and evidence can be spread across survey reports, photographs, spreadsheets and operational notes. There is often no single view of outstanding defects, incomplete surveys, open actions or review status across the asset fleet.

Approach

  • Asset-centred model with survey, inspection and review records linked
  • Evidence workbench for document and photo review
  • Structured recommendation and action creation
  • Status tracking from open through to closed and verified
  • Management dashboards showing fleet review status at a glance

Technologies / methods

PostgreSQLNext.jsReactREST APIS3-compatible storage
Marine review system showing vessel list, review workbench, evidence documents and action list

Outputs

Asset review workflow with structured workbench
Evidence and document attachment and review
Recommendation and action management
Status and completion tracking per asset and fleet
Management summary dashboards
Exportable review outputs for classification or survey bodies

Shipping / Port / Fleet Intelligence Dashboard

Map-first dashboards for vessel, port, route and operational monitoring

Map-first intelligence dashboards for vessel, port, route, incident, risk or operational monitoring. Designed for shipping and fleet operations that need fast visibility of location, activity, risk, delays, incidents and operational context.

Problem

Shipping and fleet operations need fast visibility of location, activity, risk, delays, incidents and operational context. Data is often siloed across AIS feeds, voyage management systems, port records and operational spreadsheets.

Approach

  • Combine geospatial data, event streams, tabular records and analytical dashboards
  • AIS and positional data connected to asset and voyage records
  • Incident and risk event modelling with location and timeline
  • Route and movement analysis with historical comparison
  • KPI design aligned to operational and commercial priorities

Technologies / methods

PostgreSQL / PostGISMapLibre GLNext.jsAIS data integrationTableau / Power BI
Shipping fleet dashboard showing vessel location map, route tracks, port markers and fleet KPI panel

Outputs

Map-first fleet and port overview dashboards
Risk and incident event layers on the map
Route and movement analysis tools
Voyage and port call KPI dashboards
Operational delay and risk reporting
Exportable operational reports

OSINT Geospatial Intelligence Platform

Map-based open-source intelligence for events, entities and infrastructure

A map-based open-source intelligence platform for monitoring events, locations, entities, infrastructure and risk. Structures raw OSINT data into location-aware, confidence-scored analytical dashboards.

Problem

OSINT data can be noisy, fragmented and hard to interpret without spatial context. Sources have varying reliability. Events may be geolocated imprecisely. Connecting events, entities and locations into analytical intelligence requires structured data modelling.

Approach

  • Structure data into locations, events, sources, confidence, timelines and map layers
  • Source confidence scoring and provenance tracking
  • Entity and location profile model with relational links
  • Timeline analysis with event clustering and pattern identification
  • Network graph analysis of entity-event-location relationships

Technologies / methods

PostgreSQL / PostGISMapLibre GLNext.jsPython analyticsNetwork graph libraries
Mapalytica OSINT geospatial intelligence platform — Ukraine conflict event map

Outputs

Event map with filtering by type, source, confidence and date range
Source and confidence scoring dashboard
Entity and location profile cards
Timeline analysis views
Network graph of entity relationships
Analytical dashboards for operational and strategic use

Geospatial Risk & Evidence Dashboard

Portable platform pattern for asset risk, evidence and decision support

A reusable platform pattern for connecting asset records, risk scoring, incidents, evidence and recommendations into a decision-support system. Designed to work with legacy data, incomplete records and organisations at varying levels of data maturity.

Problem

Many organisations have legacy data, incomplete records and no clear link between asset condition, evidence, decisions and actions. Risk decisions are inconsistent and difficult to defend. Evidence is scattered and audit trails are incomplete.

Approach

  • Create a portable geospatial data model from existing data sources
  • Standardise risk scoring against a defined risk matrix
  • Link assets to evidence, decisions, recommendations and actions
  • Create a clear audit trail from assessment through to mitigation
  • Build dashboards for operational, management and regulatory use

Technologies / methods

PostgreSQL / PostGISNext.jsTableau / Power BIMapLibre GLPython / pandasREST API
Navicharge geospatial risk and evidence dashboard

Outputs

Geospatial risk map with filtering and drill-down
Asset profile with linked evidence and decisions
Risk matrix and criticality scoring
Recommendation workflow with lifecycle management
Audit trail and decision history
BI and export layer for reporting

Multi-tenant Civic Incident & Land Intelligence Platform

Geospatial case management for civic, land, environmental and infrastructure incident reporting

Tippov is a multi-tenant, multi-organisation civic incident reporting and case management platform for location-based issues across civic, land, infrastructure, environmental and safety contexts. The platform supports mobile-first field reporting, configurable incident taxonomies, photographic evidence, geospatial incident capture, organisation-level permissions, case management workflows, KPI dashboards and a shared operating picture across participating organisations. Each incident enters a case management workflow where it can be reviewed, assigned, tracked, updated and resolved.

Problem

Councils, landowners, estate managers, infrastructure operators and multi-agency teams need a unified operational view of incidents across their areas of responsibility. Reports arrive through multiple channels with no single spatial picture, no consistent case management and no clear way to share intelligence across organisational boundaries. Tippov addresses this by connecting public and field reporting to an operational platform with structured case management, evidence tracking, shared visibility and performance reporting. The same platform pattern is relevant to local authorities, landowners, estate managers, environmental teams, infrastructure operators, ports, utilities, safety teams and multi-agency response partnerships.

Platform capabilities

  • Multi-tenant architecture — separate organisations, groups or clients within one platform
  • Multi-organisation and cross-agency use — shared incident visibility and coordinated response
  • Organisation-level permissions — controls who can view, manage, assign or resolve incidents
  • Mobile-first public and field reporting — reports from the public, staff or field teams, no account required
  • Configurable taxonomies — supports civic, land, asset, environmental, safety and infrastructure issue types
  • Location-based incident capture — connects every report to place, land parcel, route or operational area
  • Photo and evidence capture — links supporting evidence directly to each report or case
  • Case management workflow — each report enters a trackable case with status, ownership and resolution trail
  • Incident status tracking — new, assigned, in progress, resolved, escalated or closed
  • KPI dashboards — operational visibility of reports, response, backlog and performance
  • Shared operating picture — participating organisations share a common view of incidents and status
  • Map-based incident intelligence — geographic review, prioritisation and operational response
  • Operational reporting — trends, workload and response performance for administrators and team leads

Technologies / methods

Multi-tenant SaaSMapLibre GLMobile PWAPostgreSQL / PostGISREST APIOS OpenData

Can be extended to support

  • Automated land ownership boundary routing to responsible authority
  • Defra fly-tipping statistical return export
  • Fixed penalty notice generation and enforcement trail
  • Prosecution record management and legal case linking
  • Live Environment Agency or external data feed integrations
  • Automated SLA breach notifications and escalation triggers
  • Predictive hotspot modelling using historical incident data
  • AI-assisted incident classification and routing
Tippov multi-tenant civic incident reporting and case management platform
Mobile view

Outputs

Mobile-first citizen and field reporting interface
Geospatial incident map with category, status and organisation filters
Case management workflow — assign, track, evidence, update and resolve
Organisation-level and cross-agency incident views
Shared operating picture across participating organisations
KPI dashboards — open cases, response times, backlog and clearance rates
Map-based geographic prioritisation and hotspot review
Evidence and photo management linked to each case
Operational reports for administrators and team leads

Ecological & River Monitoring Platform

Geospatial intelligence for watercourse health, ecological surveys and environmental compliance

A geospatial platform for ecological and river monitoring, combining watercourse location intelligence, survey data, sensor readings and environmental compliance records into a single operational view. Designed for environmental teams, catchment partnerships, landowners and regulatory bodies that need to understand and report on watercourse health, ecological condition and compliance status across a geographic area.

Problem

Ecological and river monitoring data is typically scattered across field survey spreadsheets, sensor exports, regulatory submissions and internal reports. There is rarely a single spatial view connecting monitoring stations, survey records, compliance history and environmental condition. Understanding trends, identifying deterioration and meeting reporting obligations requires significant manual effort.

Approach

  • Location-anchored monitoring stations, survey sites and watercourse reaches
  • Survey and observation records linked to place, date and surveyor
  • Sensor and telemetry data integrated with field survey evidence
  • Ecological condition scoring and compliance status per location
  • Historical trend analysis across stations and catchment areas
  • Map-based operational overview for field teams and managers

Technologies / methods

PostgreSQL / PostGISMapLibre GLSensor / telemetry integrationNext.jsREST APIMobile PWA
River Watch ecological and watercourse monitoring platform

Outputs

Watercourse and monitoring station map with condition overlays
Survey and observation record management
Sensor data integration and trend visualisation
Ecological condition and compliance scoring per site
Catchment-level summary dashboards
Regulatory and statutory reporting exports
Field team task management and survey scheduling

What this means for rail and infrastructure assurance

For rail and infrastructure organisations, a GeoTelligence-style platform offers a credible route toward live geospatial asset intelligence without displacing existing operational systems.

Backlog visibility by route, type and severity
Risk-based prioritisation of examination and renewal
Examination and assessment compliance tracking
Recommendation lifecycle management
Evidence pack generation for audit and regulator
Baseline-to-current historical comparison
Climate and scour risk overlay capability
Future-ready for incident and bridge strike recording

Interested in a private demo?

Use case demonstrations are available in confidence. Discuss how the platform concepts could apply to your data, systems and operational context.