The platform behind Arcadis digital solutions — connecting any data source into a live model of your assets, processes and systems, built and operated by our engineers.
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Arcadis Digital Twins gives you a live picture of your assets, processes and systems — what state they are in right now, how they are trending, and what needs attention first. Not a monthly report on what happened, but the current answer, whenever you ask for it.
It gets there by bringing everything into one validated model: sensors and control systems, engineering and BIM models, laboratory results, field observations, geospatial and climate data, public feeds and your own enterprise systems. Data that normally sits in a dozen places becomes one view you can query, map, chart, alert on and act on.
Every solution is shaped around a specific decision, which is why each carries its own name — Climate Risk Nexus, Nexus Live, JetConnect, the Endpoint Acceptance Tool, Intelligent Mobility Insights — while sharing the same platform underneath.
Named solutions running in production today, each shaped around a decision someone has to make.
Screen entire portfolios for physical climate risk, then assess priority assets in detail across hazards, time horizons and emissions scenarios. Nexus quantifies exposure, vulnerability and value at risk, ranks what drives it, and supports benefit–cost analysis and investment optimisation for adaptation. It has its own product site and its own delivery team.
The same Nexus family, pointed at the next 48 hours instead of the next 50 years. Live rain radar and numerical forecast grids, observed and forecast tide levels, local water-level sensors and operational hydraulic model output combine into one picture of what is about to flood — with threshold-based notifications to the people who have to act on it.
Facility tools for semiconductor fabs. Point of Connection Management tracks every interface between process equipment and the utilities that serve it — electrical, pipe and duct connections, laterals, capacities, sizes and grid locations — through design, construction and operations. Engineers find and reserve capacity, approvals are routed and recorded, non-conformances are tracked to closure, and field updates flow straight back into the model.
Commissioning and acceptance for Advanced Metering Infrastructure rollouts. EAT integrates the meter data management and head-end systems, follows mass meter exchange programmes endpoint by endpoint, and tests each install against acceptance criteria — so a utility can show its deployment is genuinely complete and reporting correctly, not just installed.
Traffic and infrastructure monitoring for road authorities. National road-network feeds — travel times, speeds, traffic intensities — stream in continuously to drive outcome KPIs for traffic management as a service, and to measure the effect of roadworks and diversions while they are happening. The same environments watch structures: crack width and tunnel ovalisation from displacement and fibre sensors, with tiered yellow, orange and red alarms plus missing-data alerts.
Our largest family of environments. Instrumented monitoring wells, treatment plant and point-of-entry treatment telemetry over MQTT, laboratory analytical results, field data capture, public gauge data and weather all land in one model per site. Operators get plant performance, differential-pressure trending and setpoints; programme managers get portfolio views, automated reporting and alarms when a system drifts or goes quiet.
Field inspection results — façades, roofs, structures, mechanical plant — linked to the asset register, BIM models and sensor data. Condition is scored consistently, deterioration is modelled over time, and maintenance plans and budgets are optimised against risk instead of against a fixed calendar.
A 3D twin of contaminated gas extraction sites: contamination levels shown in the context of the installation, demolition status tracked component by component, and volume and safety calculations driven straight from the model — supporting a programme to return sites safely to agricultural use.
Also live on the platform: non-revenue water and leakage detection for water utilities, train energy and passenger comfort monitoring, pumping station and tunnel operations, hazardous materials information management, seismic and structural portfolio assessment, and building and workplace intelligence across our own offices.
Seven capabilities that determine what we can build for you.
Our engineers build integrations in a visual low-code flow editor, so getting your data in takes days rather than a project of its own.
Every twin is validated against a data model before it is stored, so a decade of data from four different contractors stays usable.
Dashboards run live queries against the graph and the time-series store, so an operator sees the current state — not last night’s extract.
Everything we monitor exists somewhere, so the map is a first-class view rather than a plugin.
The platform does not just show a reading — it acts on it, automatically, the moment it crosses a limit.
AI operates on your live environment in three places: answering questions, running inside automated workflows, and accelerating how solutions get built.
Each solution runs in its own isolated environment, with nothing shared between them.
The platform is delivered with our engineers — usually alongside the engineering, environmental or advisory work it supports — so you get a working solution rather than a toolkit to staff and learn.
That is where the value sits. Knowing which physics, which failure modes and which decisions matter is what turns data into a solution, and the people configuring your environment are the same people who understand your assets.
Not from the data. We work out what someone needs to decide, how often, and what would change if they had better information. That defines the scope; everything else follows from it.
Our engineers set up the environment, choose or extend the data models, and build the flows that bring your sources in — sensors, engineering models, lab results, field apps, public feeds, enterprise systems.
Dashboards, maps, 3D views, forms, alarms and automated reports are configured rather than coded, with AI copilots accelerating the build. First working version in weeks, then refined against real use.
We run and support the environment, add sources and views as the work changes, and keep the analytics honest as the asset ages. Most environments stay live for years.
The questions we get most often, from clients and from Arcadis colleagues. If yours is not here, ask us below.
Your teams get full access to the solution — every dashboard, the underlying data, exports, and a REST API to pull it into your own systems — with as many users as you need. Our engineers build and operate the environment, keep the integrations running and add views as your needs change. Where your own teams want to take on more of the configuration over time, we set that up with you.
In practice, anything that is reachable. Our engineers build integrations in a low-code flow editor covering HTTP and REST APIs, SFTP, blob and file storage, SQL databases, Azure Data Explorer, Microsoft Fabric and OneLake, Autodesk Construction Cloud, field data collection apps, IoT and MQTT devices, and Event Hub or Kafka streams. If a source is unusual, ask — new connectors are a normal part of delivery, not an exception.
In three ways. An in-app assistant answers questions by querying your environment directly. AI agents run as steps inside automated workflows, classifying, scoring, validating or summarising data as it arrives. And AI copilots help our engineers build dashboards and data flows, which is a large part of why a first working version arrives in weeks.
Each solution runs in its own isolated environment with its own graph database, time-series database and storage, deployed in the region appropriate for your data. Access uses single sign-on against your identity provider, with role-based permissions down to individual views. Automated backups and data sensitivity labelling are configured per environment.
For a well-scoped use case with reachable data sources, a first working version typically takes weeks rather than months, because dashboards, flows and models are configured rather than developed. Larger programmes are usually delivered in stages, starting with the decision that carries the most value.
Yes — that is the normal case rather than a special one. Autodesk models load directly into the 3D viewer and link to twins. GIS layers load from files, tile services, ESRI feature services or OneLake. Asset registers, maintenance systems and historians are integrated through their APIs or databases, and the platform can push results back to them.
Get in touch using the form below and we will help you shape the use case, judge feasibility against the data that is actually available, and put an estimate together. It is usually quicker to describe the decision your client is trying to make than to describe the data you have.
Our team will show you the platform, walk through comparable solutions, and give you a straight answer on whether your data supports what you have in mind. Arcadis colleagues scoping a client solution are equally welcome.
