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Manufacturing · head to head

Guidewheel vs Litmus Edge

Guidewheel logo

Guidewheel

Manufacturing

Machine monitoring from a clamp on the power cord, so equipment age and protocol stop mattering

From
On request
Rated
-
Litmus Edge logo

Litmus Edge

Manufacturing

Industrial edge platform that collects, normalises and forwards OT data to cloud and enterprise systems

From
$1500/month
Rated
-

The short version

  • Each has a real cost: Guidewheel current draw shows that a machine is consuming power, not that it is producing good parts, so scrap, rework and quality still require operator entry or additional sensors and the OEE quality factor is not measured automatically.; Litmus Edge pricing is by site and data point, so a large tag count at one plant can cost more than a modest tag count spread over several, which is the opposite of how most manufacturers plan a rollout.
  • They diverge on capability: Guidewheel covers Clamp on current sensing, Litmus Edge covers Prebuilt driver library.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Guidewheel and Litmus Edge actually diverge.

Attributes where Guidewheel and Litmus Edge differ
AttributeGuidewheelLitmus Edge
Starting priceOn request$1500/month
Pricing modelquotePer site by data point count
PlatformsWeb, iOS, AndroidLinux, Docker, Kubernetes, Cloud, On-premise

Identical on both: free tier (No), user rating (Not yet rated), category (Manufacturing).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Guidewheel

  • Clamp on current sensing
  • Automatic uptime and downtime
  • Downtime categorisation
  • Real time alerting
  • Shift and OEE reporting
  • Energy visibility

Only in Litmus Edge

  • Prebuilt driver library
  • Unified data model
  • Litmus Edge Manager
  • Edge applications
  • Store and forward
  • Cloud and broker outputs

What people use each for

The jobs each tool is most often brought in to do.

Guidewheel

  • A plant running equipment built in the 1980s and 1990s that no controller based monitoring product can readnot Litmus Edge
  • A mixed floor of presses, ovens, compressors and fabrication equipment from many manufacturers with no common protocolnot Litmus Edge
  • A manufacturer that needs evidence of real capacity before agreeing to buy another machinenot Litmus Edge
  • A plant wanting immediate notification when an unattended overnight process stopsnot Litmus Edge

Litmus Edge

  • A manufacturer with twenty plants and five PLC brands that needs one data acquisition standard rather than twenty bespoke integrationsnot Guidewheel
  • Feeding a cloud data warehouse or lakehouse with normalised production data without asking the controls team to write cloud connectorsnot Guidewheel
  • Retrofitting data collection onto old CNC machines and robots where the protocol support is the hard part, not the analyticsnot Guidewheel
  • Adding local buffering and computation at sites with unreliable WAN links so cloud outages do not create gaps in production historynot Guidewheel

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Guidewheel

  • Current draw shows that a machine is consuming power, not that it is producing good parts, so scrap, rework and quality still require operator entry or additional sensors and the OEE quality factor is not measured automatically.
  • Cycle counting depends on a distinct load signature for each cycle, so machines with flat continuous draw such as ovens, some extruders and continuous mixers give poor or unusable part counts.
  • Installation involves fitting a clamp around a live power conductor inside or near an electrical panel, which in many plants requires a qualified electrician and a scheduled shutdown rather than a plug in setup.
  • It is monitoring, not execution, so there is no routing, scheduling, work order or traceability capability and it must sit alongside an ERP or MES rather than replacing either.
  • Pricing is per monitored machine, so a plant with two hundred small machines faces a bill proportional to machine count rather than to plant size, and the economics work better on fewer larger assets.

Litmus Edge

  • Pricing is by site and data point, so a large tag count at one plant can cost more than a modest tag count spread over several, which is the opposite of how most manufacturers plan a rollout.
  • The entry package sits around $1,500 per month, an awkward number for a single-site pilot given that the product is infrastructure with no visible output of its own until something downstream consumes it.
  • Litmus does no analytics, so the business case always depends on a second purchase; the platform on its own produces no result a plant manager can see.
  • Full pricing beyond the entry tier is not published and the Growth and Scale packages are quoted, so scaling costs are unknown at the point you commit to the architecture.
  • A capable controls team can approximate a single-site deployment with an open-source broker and a driver gateway for a fraction of the cost, so the value case depends entirely on how many sites you are managing centrally.

Pricing, plan by plan

Guidewheel

On request
  • Guidewheel$undefined/year
    • Per machine monitoring hardware and platform access
    • Downtime and OEE reporting
    • Alerting and energy visibility

Litmus Edge

$1500/month
  • Foundation$1500/month
    • Entry package sized by site count and data points
    • Core driver library and edge runtime
    • Store and forward to cloud and brokers
  • Growth$undefined/month
    • Larger site and data point allowance
    • Litmus Edge Manager fleet management
    • Priced on application
  • Scale$undefined/month
    • Enterprise multi-site deployment
    • Higher data point ceilings and support tier
    • Priced on application

Which should you pick?

Choose Guidewheel if

  • You need clamp on current sensing.
  • You work on Web, iOS, Android.
  • You also want automatic uptime and downtime.

Choose Litmus Edge if

  • You need prebuilt driver library.
  • You work on Linux, Docker, Kubernetes, Cloud, On-premise.
  • You also want unified data model.

Questions people ask

Is Guidewheel or Litmus Edge better?
Neither clearly leads. Guidewheel starts at On request and Litmus Edge at $1500/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Guidewheel or Litmus Edge?
Guidewheel starts at On request and Litmus Edge at $1500/month.
Does Guidewheel or Litmus Edge run on more platforms?
Guidewheel runs on Web, iOS, Android. Litmus Edge runs on Linux, Docker, Kubernetes, Cloud, On-premise.
What is Guidewheel best used for?
Guidewheel is most often used for a plant running equipment built in the 1980s and 1990s that no controller based monitoring product can read, a mixed floor of presses, ovens, compressors and fabrication equipment from many manufacturers with no common protocol, a manufacturer that needs evidence of real capacity before agreeing to buy another machine, a plant wanting immediate notification when an unattended overnight process stops. Of those, a plant running equipment built in the 1980s and 1990s that no controller based monitoring product can read and a mixed floor of presses, ovens, compressors and fabrication equipment from many manufacturers with no common protocol are not what Litmus Edge is typically brought in for.
What can Guidewheel do that Litmus Edge cannot?
Guidewheel covers Clamp on current sensing, Automatic uptime and downtime, Downtime categorisation, Real time alerting. Litmus Edge covers Prebuilt driver library, Unified data model, Litmus Edge Manager, Edge applications.

Answered from the vendors’ own pages

Guidewheel: Does it work on machines with no controller or network port?

Yes. That is the reason it exists. It measures the power cable, so machine age and protocol are irrelevant.

Litmus Edge: Does Litmus Edge do analytics or dashboards?

Only lightweight edge computation and basic visualisation. It is a data acquisition and normalisation layer; the analysis happens in whatever you send the data to.

Guidewheel: Will it count parts?

Sometimes. It works where each cycle produces a distinct electrical signature and does not work on continuous draw equipment.

Litmus Edge: How is it priced?

By number of sites and number of data points, in packages. The entry package starts around $1,500 per month; larger tiers are quoted.

Guidewheel: Do I need IT involvement?

Less than with controller based monitoring, but you do need electrical work to fit the sensors and a path for the gateway to reach the internet.

Litmus Edge: Can it replace my historian?

No. It buffers and forwards but is not a long-term historian. Most deployments send data into a historian, warehouse or lakehouse.

Guidewheel: Is it an MES?

No. It monitors equipment. Work orders, routings and traceability need a separate system.

Litmus Edge: Does it need Litmus hardware?

No. It runs on standard industrial PCs, virtual machines or containers; there is no proprietary appliance requirement.

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