What our OEM clients earn, and what their customers save.
Your visibility stops at the loading dock. Here's what that costs.
You find out when your customer calls.
Emergency visits and rush parts. On fixed-fee contracts, you pay.
Your customer loses output. You lose the next order.
Service earns about 2x the margin of equipment. Most OEMs miss it.
After warranty, independent providers take the service revenue.
Can't show value? Renewals become price fights.
Choose a stakeholder. See their workspace.
Our leaders explain why we built ServitizeIQ, then walk through the dashboards your team and customers will use.
Configured, not built from scratch. Most of the platform runs on day one. The rest is configured to your machines, systems and customers.
Map machines, data and systems.
Connect sensors, CMMS and ERP. Load your machine templates.
Pilot one site. Alerts from day one. AI sharpens as data builds.
ROI review on real numbers. Roll out to more customers.
Four steps that turn every alert into value your customer renews for.
Usage-based AI flags failures before they happen.
Alerts become work orders. Your team arrives with the right part.
Every prevented failure, priced at rates your customer confirms.
Health scores flag at-risk and upgrade-ready accounts.
Every machine becomes a service contract. Four returns, one platform.
Sell predictive maintenance as your own annual service contract.
Tier upgrades and OEM parts from accounts you already have.
Monitoring, prediction and service workflows on every machine you ship.
Less downtime, proven value. Customers renew and buy again.
OEM clients across industries, from Dortmund to Indianapolis to Toronto.
Pump bearing wear flagged 18–36 hours ahead. Fixed on a planned visit, not an emergency call.
Driver boards overheating, caught remotely. Inspection booked automatically.
Bearing wear on a press line caught 48 hours out. Replaced overnight with zero production impact.
| Question | Reactive serviceHow most OEMs run service today | Point toolsField service software, IoT dashboards, generic predictive maintenance | ServitizeIQOne platform for your service business |
|---|---|---|---|
| When do you act? | After the failure | Alerts arrive, but sit apart from service work | Predicted, planned and dispatched in one flow |
| Who's connected? | Phone calls and email | Each team in its own tool | Engineers, technicians, commercial team and customers on one platform |
| What do you sell? | Repairs and visits | A software add-on | A managed service with uptime commitments |
| How do you prove value? | Visit reports | Machine data dashboards | ROI in the customer's own confirmed rates |
| How do you renew? | Review near expiry | Not covered | Health scores and renewal evidence all year |
| Whose brand does the customer see? | Yours | Often the tool vendor's | Yours, on every screen |
The questions manufacturing leaders ask before committing budget to AI.
Move from reactive repairs to proactive service contracts. Service margins often run about twice equipment margins (BCG), but many OEMs lack data on how their installed base is used. ServitizeIQ monitors machines in the field, predicts failures, and turns that visibility into recurring service contracts the OEM sells under its own brand.
Customers see OEM service as expensive and reactive, so independent providers win on price. OEMs keep the relationship by offering what others can't: proactive service based on data from their own machines. ServitizeIQ gives OEMs that data, and reports uptime and value in the customer's own numbers.
Attach a service contract at the point of sale, priced on uptime and outcomes rather than repair visits. ServitizeIQ provides the monitoring, service workflows and value reporting that make such a contract deliverable and renewable year after year.
Servitization means selling outcomes, such as uptime or performance, alongside or instead of the machine itself. Most manufacturers start small: one product line, one customer site, one service contract. ServitizeIQ supports this with a 90-day pilot on a single site before scaling.
Three things are needed: connected machines, a platform that predicts failures and runs service workflows, and a contract that prices the outcome. ServitizeIQ covers the platform layer, so OEMs can offer predictive maintenance under their own brand without building software or hiring a data team.
Preventive maintenance follows a fixed schedule. Predictive maintenance acts on the machine's actual condition and usage. The US Department of Energy estimates predictive maintenance saves 8–12% over preventive, and up to 30–40% over reactive maintenance.
Measure against a baseline set before the service starts, and price every prevented failure in the customer's own confirmed rates, such as output per hour and repair cost. ServitizeIQ locks the baseline and produces value reports customers can take to their CFO.
Yes. With ServitizeIQ, every customer-facing screen, report and portal carries the OEM's brand. The customer sees the OEM's service; ServitizeIQ runs underneath.
ServitizeIQ is 60–80% ready on day one. The rest is configured to the OEM's machines, systems, service model and customers. A typical path: fit assessment in week 1, configuration in weeks 2–6, a one-site pilot in weeks 6–12, and an ROI review at day 90.
ServitizeIQ integrates with common ERP, CMMS and SCADA systems. Machines without connectivity can usually be fitted with sensors or gateways. The fit assessment confirms what's needed.
You own the customer, the brand and the revenue. We run the platform underneath.
Book a 30-minute demo. We'll show you the platform live and estimate the service revenue your installed machines could bring in.
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