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Guidewheel vs SCADA: Where Each Fits and Why Plants May Need Both
By: Guidewheel
Updated:
September 16, 2026
11 min read
Guidewheel does not replace SCADA. The two answer different questions for different people. SCADA is a supervisory control and data acquisition layer: it reads PLCs and RTUs, drives HMI screens, raises process alarms, historizes tags, and can send commands back to the process. Guidewheel is a FactoryOps visibility layer: a clip-on sensor reads a machine's electrical signature, turns it into run, idle and down states, and gives operations one live picture of where production is being lost. A plant running SCADA on its newest lines and nothing on the rest of the floor is a common and reasonable place to run both.
Guidewheel vs SCADA at a glance
- SCADA's job: supervise and control a process, with the authority to change it.
- Guidewheel's job: show what every machine is actually doing, and what that costs in output.
- The coverage gap SCADA rarely closes: older, mixed and uncontrolled assets that were never worth a controls project.
- The capability Guidewheel does not have: control. No setpoints, no interlocks, no process tags, no commands to the line.
- Most common outcome: both. SCADA keeps the controlled process; Guidewheel covers the whole floor and owns the operating metrics.
| Decision factor | SCADA | Guidewheel Recommended for whole-floor operating visibility |
|---|---|---|
| Primary question | Is the process running within limits, and can I change it? | Where is production being lost, and what is it worth? |
| Primary users | Controls and process engineers, operators at the HMI | Operators, supervisors, plant managers, operations leadership |
| Data source | PLC and RTU tags, direct from the control system | Non-invasive current sensing on the machine's power conductor |
| Control authority | Yes. Setpoints, commands, interlocks | None by design |
| Coverage of legacy assets | Only where a controller and a configured driver exist | Any machine that draws current, whatever its age |
| Typical time to value | A controls project, scoped and scheduled | Installation in as little as a day |
| Commercial model | Licence plus engineering and ongoing ownership | Starts at $15,000 per year, includes your first 10 machines |
What SCADA is genuinely good at
SCADA earns its place, and on a controlled process it is usually the only acceptable answer.
It carries control authority. An operator at an HMI can change a setpoint, acknowledge an alarm, start or stop a sequence, and the system enforces the interlocks that keep that safe. Nothing in a visibility layer should ever do this, and Guidewheel deliberately does not.
It sees inside the process. A SCADA tag database can carry temperatures, pressures, flow rates, torque, positions and recipe parameters at whatever resolution the control system publishes them. When the question is why a batch drifted out of specification, that depth is the answer. Current draw is not a substitute for it.
It historizes at engineering resolution. Process trending, alarm history and regulatory records are built on this. For plants under pharmaceutical or similar regulated requirements, the historian and the validated records around it are not optional.
It is also cheaper to license than most buyers expect. Ignition, the most-referenced platform in this category, sells per server on a perpetual licence, with tags, device connections and client views unlimited at no extra cost. A plant that grows from 5,000 to 50,000 tags does not get a bill for it. Its Edge variant trades away database connectivity and caps concurrent client views at two, but keeps unlimited tags and device connections with 35 days of internal storage.
So the question is not whether SCADA is good. It is what SCADA was scoped to cover, and what happens to everything outside that scope.
Where SCADA leaves a gap
The gap is not a defect in SCADA. It is a consequence of what SCADA costs to extend.
Coverage stops where the integration stops. SCADA sees the assets someone integrated. A press from 1998 with no network drop, a set of ovens, a shared compressor, an ancillary conveyor, a rented machine: each needs a controller, a driver, a tag map and an engineer's time before it appears. Most plants have run those numbers and correctly decided the integration is not worth it. So the assets stay invisible, and the plant's picture of its own floor stops at the boundary of the last controls project.
Process tags are not operating metrics. A SCADA system knows a motor is energised. Turning that into availability, performance, an OEE number a plant manager trusts, a downtime reason an operator tagged, and a shift comparison across four plants is a separate build. It is entirely possible, and it is a project with a scope, a budget and an owner. Plants often discover they have years of tag history and still cannot say which line lost the most output last week.
Change has a cost per change. Adding an asset, restructuring a screen, adding a metric or standardising a definition across sites is engineering work, scheduled against everything else the controls team owns.
It does not usually reach the whole team. SCADA was built for the control room. The supervisor who wants to know whether the shift is winning, and the operations director comparing twenty plants on Monday morning, are not HMI users and should not have to be.
✅
Guidewheel's 2026 Factory Uptime Report, built on 75 million machine-minutes captured by clip-on sensors, found U.S. factories running at 54.5% uptime, with a 31-point gap between the typical machine and the top quartile. 48% of measured downtime sits in three under-instrumented categories — electrical, material and staffing — while mechanical breakdown accounts for less than half that share. The controlled process is usually not where the money leaks; the floor around it is, and that is the part SCADA was never scoped to watch.
This matters more than it first appears, because of where the losses actually sit. Guidewheel's 2026 Factory Uptime Report, built on 75 million machine-minutes captured by clip-on sensors, found U.S. factories running at 54.5% uptime, with a 31-point gap between the typical machine and the top quartile. It also found that 48% of measured downtime sits in three under-instrumented categories: electrical, material and staffing. Mechanical breakdown accounts for less than half that share.
Read that against the coverage boundary and the problem is clear. The controlled process is usually not where the money leaks. The floor around it is, and that is the part SCADA was never scoped to watch.
What Guidewheel does instead
Guidewheel starts from a different premise: get truthful machine state on every machine first, then build the operating metrics on top of it.
A clip-on current transformer clamps around a machine's power conductor. No wiring into the control system, no PLC access, no tag mapping, no OT network connection. That is the whole architecture, and it is why coverage does not depend on the age or make of the asset. A thirty-year-old press and a new CNC both draw current, and both produce a readable signature. The difference between current-based and PLC-based monitoring is worth understanding properly before choosing, because it determines what each approach can and cannot tell you.
Because it does not touch the control system, it does not inherit the control system's project overhead. Guidewheel describes installation in as little as a day. In Guidewheel's Seacast case study, ten machines went live in two days and 30 were fully deployed in one month, spanning presses, x-rays, lathes and welders. That is a first-party case-study result rather than a schedule guarantee, but the spread of machine types is the point: the rollout repeats per machine instead of being engineered per line.
The output is designed for the people SCADA does not serve. Live run, idle and down states, downtime alerts, operator cause tagging, shift summaries, and a cross-site view an operations director can read without an HMI. Pricing starts at $15,000 per year and includes the first 10 machines, which is a published number rather than a scoped estimate.
The boundary is deliberate and worth stating twice. Guidewheel has no control authority, no process tags, no safety function, and it is not a predictive maintenance tool. If your question is a component-level diagnosis or a setpoint change, this is the wrong system.
Which leaves the practical question: given what each one covers, which do you actually need?
When to use each
| Your situation | Use |
|---|---|
| You need to change the process, enforce interlocks, or hold safety functions | SCADA |
| You need process variables: temperature, pressure, flow, recipe parameters | SCADA |
| You need validated records or regulated genealogy | SCADA, plus the MES or quality system that owns those records |
| You need to know which machines across the whole floor are losing output, and why | Guidewheel |
| Half your assets have no controller and integrating them was never justified | Guidewheel |
| You need one comparable operating picture across several plants this quarter | Guidewheel |
| You have SCADA on two automated lines and no visibility on the other forty machines | Both |
| A controls project is queued and leadership wants numbers before it lands | Both, starting with Guidewheel |
The pattern in the last two rows is the common one. SCADA already covers the process that needed controlling. The rest of the floor never justified the integration, so it stayed dark, and the plant's operating metrics get assembled by hand from clipboards and spreadsheets.
Adding a visibility layer over the whole fleet does not compete with the controls stack. It covers the part the controls stack was never asked to cover. The remaining question is organisational rather than technical: how to run both without the two teams fighting over whose number is right.
Running both without a turf war
Coexistence works when the boundary is written down before anything is installed. Four rules are usually enough.
- SCADA keeps control. Guidewheel never gets it. No commands, no setpoints, no interlock participation. Put this in the pilot scope in writing, so the controls team can approve it on sight rather than inferring it from a demo.
- Name the source of truth per field, once. Process variables and alarms come from SCADA. Machine state, downtime reason and the operating metrics come from Guidewheel. Order and job context comes from the ERP or MES. Write the list down and stop relitigating it.
- Keep the paths separate. Guidewheel does not require PLC access or an OT network connection. Leaving it off that network keeps the cybersecurity review short and keeps the controls team's attack surface unchanged, which is usually the concern behind their first objection.
- Let each system report to its own audience. Engineers keep the HMI. Supervisors and leadership get the FactoryOps view. Do not try to merge the two screens into one.
If you are working through this with a controls team that is sceptical, the pilot plan for running Guidewheel beside existing PLC and SCADA controls sets out the boundaries, the baseline measurements and the scale-or-stop criteria in the order a controls group will want to see them. If your SCADA platform is specifically Ignition, the Guidewheel and Ignition comparison goes further into where a configurable platform and a finished visibility layer genuinely differ.
To map this against your own controls stack and asset list, talk to the Guidewheel team.
Frequently asked questions
Does Guidewheel replace SCADA?
No. Guidewheel has no control authority: no setpoints, no commands, no interlocks, and no process tags. SCADA remains the system that supervises and controls the process. Guidewheel adds machine-state visibility and operating metrics across the whole fleet, including the assets SCADA does not reach.
Can Guidewheel run on machines that already have SCADA?
Yes. The clip-on sensor reads the machine's power conductor and does not connect to the control system, so it works on a SCADA-controlled machine in exactly the same way as on an unmonitored one. Plants commonly do this to get one consistent set of operating metrics across controlled and uncontrolled assets.
Does Guidewheel need to be on the OT network?
No. It does not require PLC access or a connection to the OT network, which is why the cybersecurity review is usually short. Keeping it off that network is the recommended arrangement and should be stated explicitly in the pilot scope.
Can SCADA already calculate OEE?
It can, with engineering work. The tags exist, but turning them into availability, performance, quality, a governed downtime taxonomy and a cross-site comparison is a separate project with its own scope and owner. Many plants have the tag history and still cannot answer which line lost the most output last week.
If we run both, which system owns downtime reasons?
Guidewheel, in almost every case. Downtime reason capture is an operator workflow rather than a control function, and the value comes from consistency across every machine, including the ones SCADA does not see. SCADA keeps process alarms, which are a different signal and should not be conflated with a production downtime reason.
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