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Digital twin development & IoT

Digital twins that mirror your assets in real time

We design and build real-time digital twins and the IoT behind them — sensor pipelines, anomaly detection, and one live view of distributed assets and infrastructure. On Bentley iTwin and cloud digital-twin stacks.

A digital twin turns scattered sensors, drawings, and records into a live, queryable model of your physical system — so you can see status, catch anomalies early, and act before something fails in the field.

Is this you?

Who it's for

A good fit if you

Run distributed physical assets — infrastructure, facilities, equipment, or fleets.
Have sensor, IoT, or engineering data scattered across systems and spreadsheets.
Need early warning and one operational view — not another dashboard nobody trusts.

Probably not a fit if you

Have no physical assets or telemetry to model.
Just want a static 3D render, not a live, data-driven model.
Aren't ready to connect real data sources.
What we build

From sensors to a living model

Real-time asset twins

A live, queryable model of your infrastructure or equipment — built on Bentley iTwin or cloud digital-twin stacks (Azure, AWS).

IoT & sensor pipelines

Ingest telemetry from thousands of devices reliably — the data plumbing that keeps a twin accurate and current.

Anomaly detection & early warning

Spot the readings that matter and alert the right people before a failure — not after.

Twin asset database

Structured asset data — often read from drawings and specs with computer vision — feeding the twin with a verified source of truth.

Operational views

One place to see status across every device and site — for operators, not just engineers.

Integrations

Connect the twin to the systems you already run — maintenance, ERP, and alerting.

How we work

A working twin in weeks, then scale

Discovery & scoping

We map assets, data sources, and the fastest path to a useful twin.

Prototype twin

A live model of one asset class or site you can explore — not slides.

Production build

Reliable pipelines, anomaly rules, monitoring, and data security, baked in.

Roll out & iterate

Expand across assets and sites; we measure and improve. You own it.

Why Waveo

Twin engineering that holds up in production

Digital twins live or die on data reliability — this is engineering, not a 3D render.

iTwin and cloud digital-twin development — the platforms enterprises actually trust for assets and infrastructure.

Real data engineering

AWS Solutions Architect certified — reliable IoT ingestion and pipelines that keep the twin accurate at scale.

Vision-fed twins

We read drawings and specs with computer vision, so the twin starts from a verified asset database, not manual entry.

How engagements work

Start small, prove value, then scale

Every engagement starts with a paid discovery sprint, so you get a concrete plan and estimate before committing to a build.

Discovery sprint

A fixed, paid sprint that maps assets, data, and ROI — and returns a plan and estimate.

Fixed-scope pilot

A production twin for one asset class or site, with reliable pipelines and anomaly alerts.

Ongoing partnership

We scale the twin across your estate and run it as an extension of your team.

FAQ

Questions we hear a lot

What is a digital twin, exactly?

A digital twin is a live, data-driven model of a physical asset or system — fed by sensors and records — that you can query, monitor, and use to catch problems early. It's not a static 3D render; it stays in sync with the real thing.

Do you build on Bentley iTwin?

Yes. We build digital twins on the Bentley iTwin platform and on cloud digital-twin stacks like Azure and AWS. We pick the platform that fits your assets, data, and existing systems.

We don't have clean asset data yet. Can you still help?

Yes. We often bootstrap the twin's asset database from drawings, specs, and images using computer vision, with human review on low-confidence items — so you don't need a perfect dataset to start.

How long until a twin is useful?

A working prototype twin of one asset class or site in weeks. Production and roll-out depend on scope, but we work in weeks, not quarters.

How do you keep the twin accurate and secure?

Reliable ingestion pipelines, monitoring, anomaly rules, and data-security by design — the same production discipline we apply to every system.

Get started

Want a live view of your assets?

Tell us what you'd model and the data you have — we'll come back with how we'd approach the twin.

Book a discovery call