Die Routing-Ebene Ihrer Plattform selbst besitzen
Logistik- und Mobilitätsplattformen zahlen eine wachsende Abgabe: Routing-Rechnungen pro Aufruf, die mit jedem neuen Fahrzeug steigen, statische Routen, die im Flottenmaßstab versagen, Telematik, die Punkte statt Entscheidungen zeigt, und geschlossene Engines, die sich nicht an Ihre Vorgaben anpassen lassen.
The answer is a spatial stack you own. Our engineers build self-hosted routing engines at 78–95% lower cost per call, real-time fleet dashboards, AI dispatch with mid-route re-optimisation, and delivery zone analytics, connecting telematics to operational decisions, with no per-call dependency.
How we work
UK-Registered Company
English-Law Contracts
GDPR Compliant
NDA from Intake
Secure Data Transfer
We know your pains
Six operational failures we see across this industry. If three of them are yours, we should talk.
Routing invoices scale with success
Every new vehicle, order, and matrix call raises the bill. Growth is taxed per request.
Static routes fail at fleet scale
Fixed plans ignore live traffic, vehicle constraints, and time windows. Failed-delivery rates climb with volume.
Closed engines block optimisation
Vendor algorithms cannot be tuned to your vehicle profiles, depots, and service times.
ETAs lose customer trust
Estimates that never update against live conditions train customers to ignore them.
Address errors drive failed deliveries
Bad geocoding turns into repeat visits, and repeat visits into per-drop cost.
Spatial features stall the roadmap
Generic developers need months on routing graphs and projections before shipping anything.
Trusted by
GlobeZenit
Bell Ingram
7 services for logistics & mobility, one quality standard
One partner across the spatial stack. Self-hosted routing engines, real-time fleet intelligence, AI dispatch and delivery analytics, engineered to replace the per-call dependency, not extend it.
Software & Plattformen
78–95%Self-Hosted Routing Engines
Self-Hosted Routing Engines
The routing tax removed from your growth. pgRouting, OSRM, or Valhalla embedded in your driver and rider apps, benchmarked against your current provider before you migrate, so every new vehicle and order stops adding to a per-call API bill, and the engine becomes yours to own and tune.
- pgRouting, OSRM, Valhalla embedded in driver/rider apps
- Benchmarked against your current provider before migration
- No per-call API dependency
Input: Routing invoices
Output: A stack you own
Real-Time Fleet Dashboards
Real-Time Fleet Dashboards
Telematics turned from dots on a map into decisions. GPS, OBD-II, CAN bus, and sensor feeds into PostGIS, surfacing planned vs actual route, dwell time, detour detection, and driver scoring, so dispatchers see what is actually happening, not just where vehicles are.
- GPS + OBD-II + CAN bus → PostGIS
- Planned vs actual route, dwell time, detour detection
- Driver scoring by road segment
Input: Telematics feeds
Output: Spatial intelligence
AI Dispatch & Route Optimisation
AI Dispatch & Route Optimisation
Routes that adapt as the day changes, not plans that break by mid-morning. Dynamic dispatch with live ETA recalculation, time windows, vehicle profiles, and depots, plus territory planning by delivery density, so SLAs hold and failed deliveries fall as conditions shift.
- Dynamic dispatch with live ETA recalculation
- Time windows, vehicle profiles, depots
- Territory planning by delivery density
Input: Static routes
Output: Live re-optimisation
Delivery Zone Analytics
Delivery Zone Analytics
Territories drawn from data instead of postcodes. Cost-per-drop heatmaps, failed-attempt hotspots, and micro-fulfilment catchment analysis, so you see exactly where delivery costs and failures concentrate, and redraw zones around reality.
- Cost-per-drop heatmaps
- Failed-attempt hotspots
- Micro-fulfilment catchment analysis
Input: Delivery history
Output: Zones drawn from data
Cold Chain & Compliance Monitoring
Cold Chain & Compliance Monitoring
Temperature excursions caught as alerts, not discovered in disputes. Continuous temperature and humidity tracking with geo-fenced compliance zones and automated alerts, so a breach triggers action in real time instead of a spoilage claim after the fact.
- Continuous temperature and humidity tracking
- Geo-fenced compliance zones with automated alerts
Input: Sensor streams
Output: Alerts, not disputes
EV Fleet & Address Validation
EV Fleet & Address Validation
Two data-layer problems fixed at once: electrification planning and address quality. Range-aware routing, charging coverage, and depot scheduling, plus batch geocoding and standardisation, self-hosted with no per-call fees, so bad addresses stop driving failed deliveries and the EV transition runs on real coverage data.
- Range-aware routing and charging coverage analysis
- Batch geocoding and standardisation, self-hosted
Input: Addresses / fleet data
Output: Clean data layer
Dedicated Engineering Team
Dedicated Engineering Team
A GIS-native engineering team embedded in your codebase: routing, dispatch, and telematics features shipped on your sprint cadence, operational in 2 weeks under your brief.
Input: Your brief
Output: Embedded dev team
Every line of code, every repository, every schema is yours on handover. No retained IP. We are the engineering team: we build, ship, and hand over. We do not consult and walk away.
Book a Technical Session →Need geospatial data processing: address data QA, zone digitising, network records? See our Data Production services.
Outcomes
What you get with GIS-Point
Routing bill cut 78–95%
Benchmarked on your real volumes before migration.
ETAs customers trust
Live recalculation as traffic and conditions change.
You own the stack
Engines, code, and data: no per-call dependency.
Failures mapped, not guessed
Failed-attempt hotspots and cost-per-drop by zone.
Zones drawn from data
Territories follow delivery density, not postcodes.
Cold chain on autopilot
Excursions raise alerts, not disputes.
Technology stack
Technology and tools we use
Open engines, open standards, open data: production-grade and free of per-call dependency. This is the working stack we standardise on for logistics & mobility engagements; we integrate with the TMS, WMS, and order systems already in place rather than forcing replacement.
Routing engines (self-hosted)
Replace per-call routing bills with engines you own, tuned to your vehicle profiles and constraints.
OSRMValhallapgRoutingGraphHopperOpenStreetMap data pipelines
Spatial database & time-series
Telematics, orders and historical traces stored together, query-tuned for live dispatch and analytics.
PostgreSQL 15+PostGIS 3.xTimescaleDBRedisS3 / object storage
Telemetry & streaming
GPS, OBD-II, CAN bus and cold-chain sensors into a spatial analytics layer in near real time.
MQTTKafkaNATSNode-REDInfluxDB
Dispatch & optimisation
Time windows, depots, vehicle profiles and live ETAs, re-optimised mid-route as conditions change.
VROOMGoogle OR-ToolsPython (NumPy, NetworkX)Apache Airflow
Open engines, open standards, open data. Source code, infrastructure and tuning parameters transfer on handover, with no per-call dependency remaining.
GeoAI & ML for Logistics & Mobility. Road and network features extracted and kept current from imagery, so the routing graph does not go stale. Telematics history turned into predicted transit times instead of dots on a map. Every output measured against a benchmark and owned by a BSc+ engineer.
See the full GeoAI & ML stackWhy you'll choose us
Quality you can verify
- Under 7% rework rate, tracked per deliverable
- Dual-review QA on every output
- 100% BSc+ geospatial engineers
Speed that is measured
- Demo dataset processed in 5 working days
- Named team operational in 2 weeks
- Scale 1–10+ engineers monthly
Same-day collaboration
- CET/BST real-time for UK and EU
- Overnight delivery for North America
- Named project manager, single point of contact
Ownership from day one
- Open standards: PostGIS, GeoServer, QGIS
- All code and IP yours on handover
- No per-seat licences, no lock-in
Your routing bill grows with every order. It does not have to.
A 20-minute technical session: your routing cost benchmarked against a self-hosted equivalent. Numbers, not slides.
Insights
Building a Spatial IoT Stack: From Sensor to Map
Architecture patterns for ingesting LoRaWAN, NB-IoT, and MQTT sensor data into PostGIS, and rendering it on interactive maps in sub-200ms.
How Self-Hosted Routing Cuts Fleet API Costs by 78–95%
A breakdown of pgRouting and OSRM vs per-call routing APIs, with real numbers from production fleet deployments.