Machinery & Equipment (OEM)

Machinery & Equipment (OEM)

The shift from selling a machine once to standing behind its uptime for years.

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Key takeaways

01

The promise has changed.

Customers increasingly expect the maker to stand behind uptime and performance for years, not just ship a working machine.

02

Most makers are flying half-blind.

The data pouring off equipment in the field flows back to almost no one, so the new promise is being made without the information to keep it.

03

The hardware is already out there.

A large installed base is generating data today that could become services and recurring revenue.

The pressure

Why this matters now

A machine used to be sold and forgotten until it broke. Now the customer wants an outcome, and that is a different business model laid over hardware already sold.

Operations & AI

Outcome contracts shift the risk.

Uptime guarantees and performance-based deals move failure risk onto the maker, which is unmanageable without visibility into how the equipment is actually running.

Field data is stranded.

Telemetry from installed equipment mostly never returns, so makers cannot see failures coming, improve the next design, or price service accurately.

Recurring revenue is the prize.

The shift from a one-time sale to ongoing services is where durable margin sits, and it depends entirely on a data and AI layer over the installed base.

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Operations & AI
What we plug into

Integrations & data sources

We've built data platforms for our clients, designed to ingest from the telematics and IoT ecosystem OEMs build on, including the ones below.

Telematics standard

AEMP / ISO 15143-3

Telematics / IoT platforms

TrackunitSamsaraGeotabPTC (ThingWorx)Microsoft Azure IoTAWS IoTBoschSiemens (Insights Hub / MindSphere)

OEM data feeds

Caterpillar / Komatsu data feeds

Capability statement, not a checklist. No per-vendor endorsements implied.

From signal to value

How to get there

It tends to run in a sensible order, and we can join at any point.

1

understand

what data the installed base already produces

2

prove

the model on one product line or service offer

3

build

the connected platform underneath it

4

embed

the capability in your own organisation

Bring us the asset you worry about most.

Consultation

That is usually where the clearest, fastest-paying use case is hiding.

Tell us what you run and where it hurts - we'll tell you the smallest first move that pays.

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Consultation