Can this run without Esri licences?

Yes. PostGIS with TimescaleDB stores telemetry and features, GeoServer publishes them, MapLibre and deck.gl render streams and detections in the browser, QGIS handles labelling and automation, and CesiumJS covers 3D and WebXR. We keep it in sync with ArcGIS Velocity or Enterprise where you already run them.

Do we need labelled training data?

It helps, but we often start from Esri's pretrained models or public datasets, fine-tune on a small labelled set we prepare with you, and iterate.

Can chatbots answer from our GIS securely?

Yes — assistants query your feature services with the user's own permissions, cite the layers used, and can run on-prem or in your cloud tenancy.

GIS with IoT · AI/ML · AR/VR/XR/MR

Live sensors, learning models and immersive maps

The map as a real-time, intelligent surface: telemetry from thousands of devices, machine learning on imagery and spatial data, automation and chatbots over your GIS, and AR/VR experiences that put the data back into the world.

Discuss your project What's included

Real-time: MQTT · Kafka · Velocity
ML on maps: imagery · prediction
AR / VR / XR: Unity · Unreal · WebXR

● MQTT · 0 msgs

Pressure

4.2bar

Flow

118.0m³/h

Temp

31.0°C

Vibration

2.1mm/s

Detection 3 objects

vehicle 0.97

vehicle 0.91

damage 0.84

model: damage-seg-v3 · arcgis.learn · 512px tiles

Simulated telemetry: sensor readings stream onto the map while a detection model flags objects in imagery.

01What's included

4 services in this practice

Jump to any service below — each one is a capability we deliver on its own or as part of a larger programme.

01Real-time Data & IoT Integration 02GIS Data Science, ML/AI & Deep Learning 03AR / VR / XR / MR Geospatial Solutions 04GIS Data Automation & AI Chatbots

01 / 04

Real-time Data & IoT Integration

Ingest GPS, SCADA, environmental and vehicle telemetry at scale, geofence and threshold it, and render it live on maps and dashboards — with ArcGIS Velocity or an open Kafka/MQTT pipeline.

ArcGIS Velocity
Kafka / MQTT
TimescaleDB
WebSocket
Grafana

ArcGIS Velocity

ArcGIS DashboardsPostGIS + TimescaleDB time-seriesMapLibre GL JS live layers over WebSocketsdeck.gl animated tracks & hexbinsGeoServer WMS / WFS on live tables

What we deliver

MQTT/Kafka ingestion with schema management
Geofencing, thresholds and alert routing
Live layers in ArcGIS Velocity or WebSocket maps
Time-series storage and replay

Ask about Real-time Data

02 / 04

GIS Data Science, ML/AI & Deep Learning

Object detection and segmentation on aerial, satellite and drone imagery; predictive models for demand, risk and failure; and spatial statistics — packaged as ArcGIS deep-learning models or cloud services.

ArcGIS Notebooks / arcgis.learn
PyTorch / TensorFlow
Rasterio / GDAL
SageMaker / Vertex

ArcGIS Notebooks

ArcGIS Image

ArcGIS ProQGIS labelling & inference pluginsPostGIS training chips & feature engineeringGeoServer serving prediction rasters (COG)deck.gl for millions of detections

What we deliver

Training data preparation and labelling workflows
Detection/segmentation models (buildings, roads, vegetation, damage)
Predictive models with spatial features
Deployment to ArcGIS Pro, Notebooks or cloud APIs

Ask about GIS Data

03 / 04

AR / VR / XR / MR Geospatial Solutions

Augmented reality for utilities and construction (see the buried pipe), VR walkthroughs of planned developments, and mixed-reality command tables — built with the ArcGIS Maps SDKs for Unity and Unreal, or WebXR.

ArcGIS Maps SDK for Unity / Unreal
ARKit / ARCore
WebXR
Cesium for Unreal

ArcGIS Urban

ArcGIS CityEngineCesiumJS 3D Tiles & VR mode for WebXRPostGIS 3D geometries as the scene sourceMapLibre terrain & buildings for browser AR

What we deliver

AR field apps with cm-level positioning (RTK/VPS)
VR scenes from GIS, BIM and reality capture
Mixed-reality tabletop maps for briefings
WebXR experiences that run in the browser

Ask about AR /

04 / 04

GIS Data Automation & AI Chatbots

Automate the repetitive GIS work — ETL, QA, publishing, reporting — and let staff and citizens ask questions of your data in plain language through assistants grounded in your maps and services.

ArcGIS API for Python
Notebooks
Claude / OpenAI APIs
Vector search
n8n / Airflow

ArcGIS Notebooks

ArcGIS OnlinePyQGIS / qgis_process automationPostGIS SQL tools behind the assistantGeoServer REST API publishing

What we deliver

Scheduled ETL and publishing with ArcGIS API for Python
Data QA rules and automated fixes
LLM assistants over feature services and documents
Chat and voice interfaces for field and public use

Ask about GIS Data

02Open-source stack

Real-time, ML and immersive on an open stack

Every service on this page also ships without Esri licences: PostGIS with TimescaleDB as the time-series and feature store, GeoServer to publish live tables and prediction rasters, MapLibre and deck.gl to render streams and detections in the browser, QGIS for labelling and automation, and CesiumJS for the 3D and WebXR side.

Kafka, MQTT, PyTorch, ARKit/ARCore and WebXR are open or platform-native already; what changes on an open stack is the GIS layer underneath them — and we build and support that in production.

Real-time

PostGIS + TimescaleDB

Hypertables for telemetry, spatial indexes for geofencing, continuous aggregates for dashboards — one database for position and time.

MapLibre GL JS

Live layers updated over WebSockets or SSE, with vector tiles for the static context — no per-map-load fee as traffic grows.

deck.gl

GPU rendering for tens of thousands of moving objects: TripsLayer replays, hexbin densities, arcs between sites.

GeoServer

Live PostGIS tables as WMS/WFS/OGC API Features for ATAK, QGIS and third-party clients, with GeoWebCache where it is static.

Models

QGIS

Labelling and QA of training data, model inference through Processing and plugins, and analyst review of predictions in the same project.

PostgreSQL

Feature engineering in SQL, training-chip catalogues, prediction tables versioned per model run and audited.

Immersive and automation

CesiumJS

3D Tiles, terrain and CZML in the browser with a built-in VR mode — the open route to WebXR scenes from GIS data.

OpenLayers

OGC-native 2D companion for control-room views and for embedding prediction and telemetry layers in existing portals.

ArcGIS products used in this practice

ArcGIS Velocity
ArcGIS Dashboards
ArcGIS Notebooks
ArcGIS Image
ArcGIS Pro
ArcGIS Urban
ArcGIS CityEngine
ArcGIS Online

Esri, ArcGIS and the ArcGIS product marks are trademarks of Esri, used here to identify the products we work with.

03Why LiveBird

What you get that a generic vendor won't give you

Seconds, not shifts

Alerts and live layers replace the morning export — operators see what changed while it still matters.

Models that ship

Detection and prediction models are deployed into ArcGIS Pro, Notebooks or APIs with monitoring, not left in a research notebook.

Data back in the world

AR and VR close the loop: field crews see assets through the phone, stakeholders walk through the plan before it is built.

04FAQ

Common questions

Real-time feeds, spatial ML and immersive geospatial.

Velocity is fastest if you are ArcGIS Online/Enterprise-centric and want configuration over code. Kafka/MQTT with PostGIS and WebSockets gives more control and lower per-event cost at very high volumes. We build both.

Related practices

GIS Database & Data Analysis

Spatial data engineering that outlasts the app

Custom GIS Development

GIS applications written for your workflow, not configured from a template

2D / 3D / 4D Mapping Solutions

Maps that let users move through space and time

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