Smart manufacturing that starts with the machines you already run

Guidewheel's sensor clips around a machine's power conductor and reads its electrical heartbeat, so every machine you own becomes live data on day one.
Real-time run, idle and down, cycle times, energy and AI anomaly detection, without a controls project or a 12-month platform rollout.
It sits alongside the ERP, MES and BI tools you already run. No PLC, no rip and replace, no IT project.

Run your downtime numbers→ Free calculator, no email required
4.9 on Capterra
4.7 on G2

Get a Guidewheel demo and learn how to reduce downtime and increase production

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Real-world results

What changed on their floor

Downtime calculator

What is your downtime actually worth?

Five numbers you already know. No email, no gate, no follow-up unless you ask for one.

Two shifts, five days is about 80. Three shifts, five days is 120.
Pre-filled with 54.5%, the weighted US average across 75 million machine-minutes in our 2026 Factory Uptime Report.
Contribution margin per hour, not revenue. This is the number that moves the answer most, so replace it with yours.

Lost production, at your numbers

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a year, in hours your machines were scheduled to run and did not

Scheduled machine-hours a year-
Hours lost to downtime-
Per machine, per year-
What one point of uptime is worth-
Recovering those points is worth-
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Before the platform, the data layer

You can buy an intelligence layer.
It still needs something to be intelligent about.

48%

“48% of measured downtime sits in three under-instrumented categories (electrical, material, and staffing), more than 2x mechanical breakdowns combined.” A platform fed by the controllers you already have is fed by the machines that already talk. The half that does not talk is where most of the loss is. Guidewheel 2026 Factory Uptime Report, 75 million machine-minutes.

Scoping a smart manufacturing platform
  • The evaluation starts at the top of the stack, with dashboards and models, and the question of where the data comes from gets answered last.
  • Every machine has to be able to talk, so the older half of the floor is scoped out before anything is signed.
  • PLC access, a tag model, network changes and an IT and OT security review, because anything reading a controller lands on the controls network.
  • Rollouts run in quarters, not days, and the business case is written against a date a year out.
  • The pilot proves out on one line in one plant, and the other forty never get their own business case.
  • When it lands, the analysis is still a project: someone has to decide what a stop is and what good looks like.
With Guidewheel
  • Start at the bottom of the stack. The sensor clips around the power conductor and the machine is reporting the same day.
  • Age, make and model stop deciding what is in scope. Any machine that uses power is in, including the ones with no controller to query.
  • No wires to cut, no cabinets to rewire, no PLC programs to modify, and nothing joins your controls network.
  • Run, idle and down arrive already interpreted, so scoreboards, Pareto, alerts and AI anomaly detection are features you switch on.
  • Every site is captured the same way, so the company-level view and the plant-level views are reading the same kind of number.
  • It sits alongside your ERP, CMMS, MES and BI tools through native integrations, Workato and an open API. Nothing gets ripped out.

The intelligence layer is only as good as the machines feeding it. Guidewheel is the data layer, on every machine you own, in a day. Keep whatever you put on top of it. See it on your own machines →

WHY OPERATIONS TEAMS CHOOSE GUIDEWHEEL

Keep machines up and costs down

Respond faster to downtime

Get alerts and real-time visibility into downtime so your teams can respond quickly, without waiting on shift or weekly reports.

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Focus on your most costly issues

Zero in on your top downtime drivers by machine, shift, or issue type, and direct resources where they’ll have the biggest impact.

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Recover hidden downtime

Identify and eliminate costly delays like slow changeovers, late starts, and microstops, that add up over time.

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Lay the foundation for predictive action

Track downtime in real time today and be able to scale with AI, condition monitoring, and integrations to stay ahead of failures tomorrow.

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Respond faster to downtime
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REAL-WORLD RESULTS

92% uptime for a full year on Fibrix’s most critical line

Real-time visibility into downtime and machine performance through Guidewheel helped the Fibrix team resolve key issues, align their teams, and achieve over 90% uptime for an entire year on their most critical line.

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92%
UPTIME ACHIEVED ANNUALLY
It is a no-brainer as far as implementing Guidewheel in your facility. You will not regret using this system.
Software Features
Uptime View
Uptime View
Scoreboards
Mobile Alerts
Operator Dashboard
Pareto Analysis
AI-Powered Anomaly Detection

Uptime View

Monitor whether machines are running, idle, or down, and why. With real-time visibility into runtime, your teams can jump on issues before they impact production.

  • See live machine status from any device
  • Know duration and reason for all downtime events
  • Spot and resolve issues as they happen
See it in Action

Scoreboards

Get complete visibility into factory performance across every line, shift, and site. Guidewheel’s scoreboards surface key metrics in real time, so your teams can stay aligned, act fast, and stay on target.

  • Live dashboards with views at the machine and plant level
  • Updates in real time across all shifts
  • Display key metrics like runtime, OEE, and more
See it in Action
Scoreboards

Mobile Alerts

Ensure your teams are instantly notified when downtime, overloads, or anomalies occur, no matter where they are.

  • Detect downtime or performance drops in real time
  • Alert the right person instantly
  • Keep output steady across every shift
See it in Action

Operator Dashboard

Give operators the tools to flag downtime, log issues, and keep lines moving in real time.

  • Tag downtime events and request maintenance support in just a few taps
  • Record scrap reasons without slowing down production
  • Feed real-time insights from the floor directly into your team’s decision-making
See it in Action
Operator Dashboard

Pareto Analysis

Pinpoint and address your biggest downtime drivers to focus resources where they’ll have the most impact.

  • Identify top downtime drivers by machine or type
  • See which problems are costing you the most time
  • Prioritize improvements based on data, not assumptions
See it in Action

AI-Powered Anomaly Detection

Catch abnormal machine behavior before it leads to a major failure.

  • Detect subtle deviations from normal performance patterns
  • Surface potential issues that manual checks may miss
  • Take preventative action to avoid costly unplanned stops
See it in Action
AI-Powered Anomaly Detection
Guidewheel is so precise, up to the second. It gives us the visibility we need to make the right decisions in the short, medium, and long term. It’s really helped us to win.
FAQ

Frequently Asked Questions

Is Guidewheel a smart manufacturing platform, or does it replace one?

Neither, and it is worth being exact about that. Guidewheel is the machine data layer: it reads run, idle and down off every machine that uses power and turns that into scoreboards, downtime reasons, Pareto, alerts and anomaly detection. It is not an MES and we do not sell it as a rip and replace. If you already run an MES, ERP or a broader platform, Guidewheel sits alongside it and feeds it through native integrations, Workato or an open API.

We are already evaluating an enterprise platform. Where does Guidewheel fit?

Underneath it, and sooner. Most platform evaluations answer where the data comes from last, and the answer usually depends on which machines can talk to a controller. Guidewheel does not need one, so you can have real run, idle and down from the whole floor, including the older half, while the larger evaluation is still running. Whatever you put on top later reads a floor that is already instrumented rather than one that still has to be.

What do we actually get on day one?

Live run, idle and down for every machine you clip, the duration of every stop, and the reason once someone tags it. Current-based state detection returns availability and performance directly rather than a raw tag stream, so live scoreboards, Pareto by machine and shift, mobile alerts, cycle tracking against your targets and energy by machine are switched on, not built. Most teams are up and running in a day, with visibility live within hours of install.

Do we need PLCs, a gateway, an MES or an IT project?

No to all four. The sensor clips around the machine's power conductor and reads current, so there are no wires to cut, no cabinets to rewire, no PLC programs to modify and nothing joins your controls network. You also do not need existing infrastructure: the sensors reach the cloud over ethernet, WiFi or LTE, depending on what the site already has.

What kind of AI is this, and what will it not do?

Always-on anomaly detection running on live data from every machine, not just the ones on a watch list. It detects subtle deviations from how that specific machine normally runs, gives early warning of performance issues, and surfaces problems manual checks miss. What it does not do is model a specific component's remaining life, and we would rather say so than sell you a prediction we do not make. It also does not do machine vision: Guidewheel reads the machine's power draw, not camera images, so it is not an inspection or defect-detection system.

What type of machines does Guidewheel work on?

Any machine that uses power, regardless of age, make or model. The sensor clips around the power conductor instead of connecting to your controls network, so there is no PLC integration and no per-machine controller to buy. That is the part that matters for a smart manufacturing programme: a thirty-year-old press with nothing to query is in scope on the same day as a line bought last year.

Do we install the sensors ourselves?

You do not have to. Our team can install Guidewheel for you, and most sites are running in about a day. Dedicated onboarding and ongoing support come with every plan, in person or virtual. You also do not need existing infrastructure: the sensors reach the cloud over ethernet, WiFi or LTE, depending on what the site already has.

What does Guidewheel cost?

Pricing is published. It starts at $15,000 a year and includes your first 10 machines, with dedicated onboarding and ongoing support from our team, in person or virtual. You do not need existing infrastructure: the sensors reach the cloud over ethernet, WiFi or LTE, depending on what the site already has. No quote to chase, you can see the current figure on our pricing page before you ever speak to us.

Ready to see the floor your platform would be reading?

Let's talk about which machines can report today, which ones cannot, and what run, idle and down from all of them would change about the decision you are making.

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