Wireless condition monitoring and predictive maintenance.

Waites is wireless condition monitoring and predictive maintenance., a predictive maintenance platform for industrial teams. Pricing starts from Per-machine quote (no free tier). Best for rotating equipment monitoring, affordable retrofit monitoring, scaling condition monitoring.

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Waites provides wireless sensors and a platform for continuous condition monitoring of rotating equipment, combining vibration and temperature data with analytics to flag developing faults. It targets affordable, scalable retrofit monitoring across plant assets.

Waites at a glance

Category	Predictive Maintenance
Starting price	Per-machine quote
Free tier	No
Best for	rotating equipment monitoring, affordable retrofit monitoring, scaling condition monitoring
Sectors	food-processing, chemical, paper-packaging
Website	waites.net

Key features

• Wireless vibration and temperature sensors
• Continuous condition monitoring
• Analytics and alerting on developing faults
• Scalable, retrofit-friendly deployment
• Dashboards and reporting

How to evaluate Waites

Sector fit: Waites is tagged as strong in food-processing, chemical. This typically means the platform has pre-built workflows, data models, and integrations tailored to those industries. If you operate in one of these sectors, that domain knowledge can dramatically reduce implementation time and ramp-up. If you're in a different sector, verify that the core capabilities still apply and ask the vendor about customization.

Pricing and TCO: Waites starts with pricing from Per-machine quote. Industrial software pricing is rarely simple — most vendors quote per asset, per site, or per concurrent user after a scoping call. Budget for implementation and training, not just licensing. Most industrial deployments see ROI within 6–18 months if selected for the right use case.

Implementation and adoption: Rolling out Predictive Maintenance like Waites typically involves data import (historian integration), role and permission setup, and user training. Start with a pilot on a few critical assets. Many plants find that a 4–8 week pilot with 2–3 assets clarifies the ROI and what customization is truly needed vs nice-to-have.

Next steps: Evaluate Waites against your specific pain point (downtime? energy? compliance? visibility?). Compare it head-to-head with 1–2 alternatives that target the same use case. Request a trial or pilot. Verify that support, integrations and data export are acceptable. The 'best' platform depends on your plant's technical maturity, integration needs and budget.

The structural difference: it is a service, not software you operate

Most condition-monitoring products in this category sell you a platform and assume you supply the interpretation. Waites describes something different — a full-service condition-based monitoring system, where an international team of certified vibration analysts and reliability engineers analyses the incoming data 24/7 and collaborates with the site team.

That answers, by outsourcing it, the question that decides most condition-monitoring programmes: who interprets the data? ISO 18436 sets out qualification categories for condition-monitoring personnel precisely because severity calls need competent interpretation. A plant with no vibration analyst on staff and no realistic prospect of hiring one is choosing between a platform it cannot fully use and a service that brings the analyst with it.

This is the axis on which Waites should be compared — not feature-for-feature against software platforms that solve a different half of the problem.

What the hardware is documented to do

Attribute	As documented by Waites
Sensor housing	316 stainless steel case, mounted to the equipment
Measurements	Full-spectrum vibration and temperature
Radio range	Roughly 3,000 feet line of sight
Frequency response	Described as ultra-high frequency response
Analysis model	AI trained on large reading volumes, combined with human reliability analysts
Coverage	Certified internationally; support in 16 languages; worldwide service and installation teams

Two practical notes on that table. 316 stainless matters in wash-down, marine and chemical environments where a plastic-housed sensor becomes a maintenance item itself. And line-of-sight range is the specification most often misread — 3,000 feet is a line-of-sight figure, and a plant is full of steel structure, so the achievable layout must be surveyed rather than assumed from the datasheet.

Where this model fits, and where it does not

• Fits: no analyst on staff. The service model supplies the competence that a software licence does not.
• Fits: vibration and temperature on rotating equipment. That is what the sensing covers, and it addresses the largest share of costly failure modes in most plants.
• Fits: retrofit onto existing assets. Wireless sensing avoids the cabling cost that kills many monitoring business cases.
• Does not fit: you already have a reliability team and want model ownership. A managed service is a poor purchase if the value you want is control over the analysis.
• Does not fit: failure modes outside vibration and temperature. Process efficiency loss, internal leakage, lubricant chemistry and electrical faults need other techniques.
• Does not fit: data sovereignty constraints. A service model means data leaves the site for analysis. Confirm where, under what terms, and who retains rights to it.

How to read the payback claims

Waites publishes that its average customer achieves complete return on investment in under four months, with some seeing it in as little as three weeks, and quotes a reliability engineer at Owens Corning describing an $11 million saving.

These are vendor-published claims, not independent measurements, and like every payback figure in this category they omit the variables that determine whether they transfer: which assets were monitored, what the failure history was beforehand, what a single avoided failure was worth at that site, and how much of the result came from the monitoring rather than from the reliability attention that arrives with any new programme.

A payback of three weeks is arithmetically plausible on a critical asset whose unplanned failure costs six figures a day, and meaningless on a redundant pump. The honest use of these numbers is as evidence the model can pay back quickly on the right asset — not as a forecast for yours. Run the arithmetic on your own downtime cost.

What this page does not claim

No pricing — Waites does not publish it. No ratings, no rankings, no comparison of detection accuracy against other vendors, because no independent benchmark exists for that. Capability statements are taken from Waites' own site; the ROI and customer-saving figures are reported as the vendor's published claims and are not verified here.

Sources

• Waites — Waites Condition Monitoring System, product site

Vendor site retrieved 2 September 2026. Specifications and service terms change; confirm directly before specifying.

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