Evocon Alternative for Existing Machines: Production Monitoring Without PLC Access
Many manufacturing companies evaluate Evocon when they want to digitize production data, make OEE visible and better understand downtime. Evocon positions itself as production monitoring software, OEE monitoring software and a manufacturing data collection system. The solution provides real-time production monitoring, automated data capture, OEE dashboards, reports, downtime analysis and simple visualization for production teams. Evocon also describes a setup where a sensor is placed on a production line or machine, connected to an IIoT device, and the collected data is then sent to Evocon’s OEE software for analysis.
Evocon is therefore not a classic MES like Siemens Opcenter, MPDV HYDRA or FabEagle MES. It is also not just an IoT gateway. Evocon is much closer to Novo AI than many other comparison providers because both solutions focus on production monitoring, OEE, downtime transparency and shopfloor improvement.
Still, there is one important difference.
Evocon is strong when a company is looking for a simple, visual and easy-to-understand OEE and production monitoring solution for production lines, production processes and standardized data collection. Novo AI is especially strong when a company wants to monitor mixed existing machines without direct PLC access, without large interface projects and without first integrating every machine deeply into an IT/OT architecture.
Novo AI is the AI-powered retrofit production monitoring solution for existing machines — with real-time machine data, OEE, downtime and microstop transparency without PLC access.
This decision is especially relevant for companies with older machines, mixed machine manufacturers, difficult data availability, missing PLC approval or the need to make machine states visible quickly and pragmatically.
The central question is not: “Is Evocon bad or is Novo AI better?” The better question is: “Which solution fits our machine park, our data access situation and our first operational goal?”
Evocon is especially suitable for companies that are looking for a user-friendly OEE and production monitoring solution. Evocon describes itself as easy-to-use OEE software that helps teams understand and improve production processes. Its official focus areas include real-time production data, OEE dashboards, shift views, reports, performance comparisons and the analysis of production losses.
Novo AI is especially suitable for companies that want to make machine states visible directly at existing machines. This is particularly relevant when the machine park is mixed, when older machines do not provide clean digital data, or when direct PLC access is not desired, not possible or too time-consuming. Novo AI describes its approach as combining AI sensor technology, edge processing and the WatchMen platform to make machine data visible without interfering with the machine control system.
Decision Situation
Novo AI
Evocon
In simple terms: Evocon is strong when a company wants a simple and visual OEE solution for production monitoring. Novo AI is strong when a company wants to make mixed existing machines transparent quickly, independently of the machine manufacturer and without PLC access.
Evocon is production monitoring and OEE software for manufacturing companies. On its official website, Evocon describes its solution as a real-time production monitoring system that gives manufacturers visibility into production processes. Teams can track performance, analyze production lines and derive operational improvements.
Evocon places strong emphasis on ease of use. The platform is designed to make production data understandable so that not only management and controlling teams, but also operators and shopfloor teams can work with the data. Evocon describes its OEE software as easy to use and easy to understand. Its feature areas include Shift View, dashboards, factory overview, reports and checklists.
An important part of the Evocon approach is automated data collection. Evocon explains that sensors and IIoT devices are used to automatically collect production data. This should reduce manual entry, lower the risk of human error and provide real-time data for better decisions. The setup is described as a three-step process: install the sensor, connect the device and visualize the data.
Evocon is therefore especially interesting for companies that want to make OEE more visible and structure production data more clearly. The solution is strong in production monitoring, OEE, downtime analysis, reports and continuous improvement.
For many companies, Evocon can be a useful option. At the same time, existing machines create a specific question: is a classic production monitoring approach enough when machines are very different, older, difficult to access or without simple digital signals? This is where the comparison with Novo AI begins.
Novo AI is an AI-powered retrofit solution for production monitoring on existing machines. The solution is especially relevant when a company wants to make machine states visible without first connecting every machine through PLC, OPC UA, a gateway or a machine-specific interface.
Novo AI starts directly at the existing machine. An external AI sensor is mounted on the machine. The sensor captures physical signals such as vibration, acoustic patterns and machine behavior. These data points are processed through edge processing and made visible in the WatchMen platform. Novo AI describes this approach as machine data acquisition without PLC intervention.
The main difference is the starting point. Novo AI does not begin with the question of which interface a machine provides. Novo AI begins with the question of what the machine is actually doing.
Is it producing? Is it stopped? Is it running idle? Are microstops repeating? Is the machine deviating from expected behavior? How do runtime, downtime and utilization change across shifts, orders or machines?
This transparency is the first important step for many manufacturing companies. Before a company can improve OEE, reduce downtime or start a larger MES, ERP or IoT project, it first needs to know where production time is really being lost.
Novo AI is therefore not classic OEE software in the narrow sense and not just a dashboard. It is retrofit production monitoring for real machine parks, especially brownfield environments with mixed machines, older equipment and difficult data availability
Evocon and Novo AI overlap more strongly than many other comparison providers. Both speak to production managers who need more transparency around OEE, downtime, performance and production losses. Both are closer to the shopfloor than classic enterprise MES systems. Both can help teams make more data-driven decisions.
The difference is less about the goal and more about the path to get there.
Evocon is strong as user-friendly OEE and production monitoring software. It helps teams track production performance, analyze OEE, make downtime reasons visible and use reports. Evocon also explains that data can be collected automatically through sensors and IIoT devices or integrated from existing data sources.
Novo AI is strong when the real problem starts even earlier: with the missing machine-state data foundation. Many companies do not reliably know whether a machine is really producing, merely running, waiting, stopped or losing time through short microstops. Older machines, mixed machine parks and machines without simple interfaces create this gap especially often.
For this situation, Novo AI is particularly relevant because the sensor is mounted externally and the machine control system does not need to be opened or reprogrammed. Novo AI describes that the AI sensor is mounted externally, requires no control-system reprogramming and evaluates physical signals such as vibration and acoustic patterns.
Starting Point
Evocon starts as an OEE and production monitoring platform. Its starting point is the visibility of production performance, shift performance, downtime reasons, reports and OEE. Evocon describes its system as real-time production monitoring that helps companies track performance, analyze lines and optimize processes.
Novo AI starts at the machine itself. The starting point is not only the OEE dashboard, but the question of how machine states can be detected reliably in the first place. This is crucial for existing machines because many machines do not provide a clean digital data foundation.
The practical difference matters. Evocon mainly answers the question: “How do we make production performance and OEE understandable and visible?” Novo AI first answers the question: “How do we reliably capture what the machine is doing?”
If a company already receives good signals from the machine or line, Evocon can fit very well. If these signals are missing or difficult to access, Novo AI is often the better first step.
Machine Park and Brownfield Suitability
Evocon can be used in many production environments and targets manufacturing companies that want to automatically collect production data and improve OEE. Evocon describes data collection through sensors, IIoT devices and existing data sources.
Novo AI is especially focused on mixed existing machines. Novo AI describes that machine data can be made visible in real time, independent of manufacturer and without interfering with the machine control system. Novo AI also describes different manufacturers, years of manufacture, control systems and machine types as typical realities on the shopfloor.
This makes Novo AI especially relevant for companies whose machine park is not standardized. Many manufacturing SMEs operate old and new machines from different manufacturers. Some machines have modern interfaces, others do not. Some are critical for production but almost invisible digitally.
In such environments, the most important advantage is not just a nice dashboard. The most important advantage is that the machine becomes data-capable in the first place.
PLC Access
Evocon describes the use of sensors, IIoT devices and data transfer to its OEE software. In the FAQ, Evocon also explains that it can be set up as a hardware-free solution if machines already collect production data in a local database; in that case, data transfer can happen via HTTPS API requests.
Novo AI positions itself more strongly for situations where direct PLC access is not desired or is difficult. Novo AI explicitly describes machine data acquisition without PLC intervention. The sensor is mounted externally, the control system does not need to be reprogrammed and physical signals are captured directly at the machine.
For many existing machines, this is the decisive point. PLC access is not always possible. Documentation may be missing. The machine manufacturer may be needed. There may be concerns around warranty, stability or production approvals. Sometimes, classic interface integration simply does not make economic sense.
In these cases, Novo AI is the lower-risk entry point because the machine control system does not need to be the starting point of the project.
OEE and Production Performance
Evocon is very strong in the area of OEE. The website describes OEE software, OEE dashboards, real-time OEE, performance comparisons and analysis of downtime, speed loss and quality. Evocon clearly positions itself as an OEE solution for teams that want to understand and improve production processes.
Novo AI also supports OEE transparency, but from a different starting point. The solution first makes real machine states visible: production, downtime, idle time, microstops and runtime. These states create a reliable basis for OEE, availability, performance and shift comparisons.
The difference matters: OEE is only as good as the data it is calculated from. If downtime is not detected, idle time is counted as productive time or microstops disappear, OEE becomes inaccurate.
Evocon is very suitable when the OEE data foundation can be built cleanly. Novo AI is especially suitable when the data foundation on existing machines first needs to be created.
Microstops and Real Machine States
Microstops are short interruptions that are often not documented in daily operations. They may last only a few seconds or minutes. Still, across a shift they can create significant losses.
Evocon helps analyze downtime, production performance and performance losses. The platform is strong in reporting, downtime analysis and OEE transparency.
Novo AI is especially strong when microstops need to become visible through real machine behavior. With external sensor technology and AI-supported state detection, Novo AI can identify states that are not always clearly visible in classic machine signals. This is especially important when a machine is technically running but not productively working.
For production managers, this distinction is central. A machine can run without creating value. It can wait, run empty, cycle, be in setup or stop briefly. If these states are not distinguished cleanly, conclusions about utilization and OEE become unreliable.
Usability and Shopfloor Acceptance
Evocon places strong emphasis on ease of use. The platform is described as visual and user-friendly OEE software that helps manufacturers improve productivity and remove waste. Evocon also presents functions such as Shift View, dashboards, factory overview, reports and checklists.
Novo AI also follows a practical shopfloor approach, but with a special focus on the machine as the data source. The WatchMen platform shows machine states, runtimes, downtime, idle time and other production KPIs based on the sensor data. For teams, this means less discussion based on gut feeling and a shared view of real machine states.
Both systems can improve shopfloor transparency. The difference is again the starting point. Evocon is strong when the organization wants a simple OEE platform for team work. Novo AI is strong when the machine itself first needs to become reliably visible.
Integrations and System Landscape
Evocon describes integration with existing machinery and ERP systems. Its manufacturing data collection page mentions integration with existing infrastructure and ERP systems. The FAQ also explains that existing production data can be transferred via HTTPS API requests if machines already collect data in a local database.
Novo AI can also be connected to existing system landscapes, but its most important strength is that the entry point does not depend on a finished integration architecture. The machine can first be made visible through external sensor technology. After that, the company can decide which ERP, MES, BDE or MDE connection really makes sense.
This is important for many manufacturing SMEs. They do not want to start with a large integration project before it is clear which machines and losses are actually relevant.
Best Starting Situation
Evocon fits especially well when a company wants a visual OEE and production monitoring solution that helps teams quickly understand performance, downtime, shifts and reports. It is especially interesting when production signals are easy to capture and the team wants to actively work with OEE.
Novo AI fits especially well when a company has a heterogeneous machine park and first needs reliable machine states. This applies to CNC machines, presses, bending machines, packaging equipment, special-purpose machines, injection molding machines, winding machines or other existing machines where classic interface integration would be too slow, too expensive or too risky.
Novo AI is the better choice when the company is not first looking for OEE software, but first needs reliable machine states from existing machines.
This is often the case when the machine park is mixed. Some machines are modern, others are older. Some provide digital data, others do not. Some machines come from well-known manufacturers, others are special-purpose machines or older systems. Some can be connected through interfaces, others cannot.
In this situation, a simple but decisive question arises: how can the company get one consistent picture of machine reality?
Novo AI is especially strong here because the solution does not require every machine to already “speak digitally.” The external AI sensor makes machine states visible directly at the process. This allows the company to start with a small pilot, monitor the first machines and quickly identify where downtime, idle time or microstops occur.
Novo AI is also better suited when PLC access is difficult. In many factories, direct intervention in the control system is not desired. There may be safety concerns, IT approvals, warranty questions, documentation gaps or dependencies on the machine manufacturer. Novo AI reduces this hurdle because the entry point is external sensor technology.
Novo AI fits especially well when these questions are central:
Which machines are actually producing?
Which machines are stopped?
Which machines are running idle?
Which microstops repeat?
Which shifts lose the most time?
Which orders regularly run below plan?
Which machines should be improved or retrofitted first?
Which data is missing before OEE becomes truly reliable?
If these questions cannot currently be answered reliably, Novo AI is often the better first step.
Evocon is the better choice when a company wants clear, simple and visual OEE software and the production data can be captured relatively well.
This is especially true when production lines have clear counting signals, product quantities, downtime reasons and shift structures. Evocon is also strong when a company wants to involve shopfloor teams more actively in OEE, downtime analysis and continuous improvement. The platform is clearly focused on OEE, production monitoring, reports and performance transparency.
Evocon can also fit well when a company needs fast OEE visualization across multiple lines or sites. The website describes centralized real-time production performance monitoring across all factories.
In simple terms: Evocon is better when the focus is simple OEE use, production reports, shift views and classic production monitoring. Novo AI is better when the first problem is reliable detection of real machine states on mixed existing machines.
For many manufacturing SMEs, the most important question is not: “Evocon or Novo AI?” The better question is: “What data foundation do we already have today?”
If a company already has reliable production signals and mainly wants a simple OEE platform, Evocon can be a good solution. But if a company does not yet reliably know what its machines are actually doing, Novo AI is often the better starting point.
A pragmatic sequence looks like this:
First, make machine states visible. Then analyze downtime, idle time and microstops. After that, evaluate OEE, shift comparisons and order deviations properly. Only then decide which integrations, OEE processes, MES connection or ERP connections are really necessary.
This sequence reduces risk. The company does not start with assumptions about production. It starts with real machine data.
This is especially important with mixed existing machines. An OEE dashboard is only valuable if the machine states underneath are correct. If the data foundation is incomplete, the dashboard may look good, but decisions remain uncertain.
Novo AI helps create this data foundation first.
Scenario 1: Mixed Machine Park With Old and New Machines
A company operates machines from different manufacturers and years of manufacture. Some machines have modern controls, others do not. The production manager does not reliably know which machines are really producing and where idle time or downtime occurs.
Here, Novo AI is very suitable. The solution makes real machine states visible without first connecting every machine through PLC or interface.
Scenario 2: Production Line With Clear Counting Signals and OEE Focus
A company has a production line where products can be counted clearly. The team wants to better visualize OEE, downtime, performance and shift performance.
Here, Evocon can fit very well. Evocon is focused on OEE software, production monitoring, dashboards, reports and shopfloor transparency.
Scenario 3: OEE Should Be Introduced, but Machine States Are Unclear
A company wants to use OEE but does not have reliable automatic data for runtime, downtime, idle time and microstops.
Here, Novo AI is often the better first step. OEE needs a reliable state logic. If it is not clear when a machine is truly producing or only running, OEE quickly becomes inaccurate.
Scenario 4: Multiple Sites Need to Be Compared Centrally
A company wants to compare multiple lines or factories centrally and make production performance visible in one platform.
Here, Evocon can be interesting because Evocon describes centralized real-time monitoring of production performance across multiple factories.
Novo AI can also be relevant for multiple machines and sites, especially when the machines are heterogeneous and a common state foundation first needs to be created.
Scenario 5: PLC Access Is Not Possible or Not Desired
A company wants to collect machine data, but the machine control system should not be opened, changed or directly connected.
Here, Novo AI is especially strong. Novo AI describes machine data acquisition without PLC intervention, using an externally mounted AI sensor and edge processing directly at the machine.
Many companies want to introduce OEE and therefore look for OEE software. That is understandable. But OEE is not only a software question. OEE depends on the quality of machine data.
If availability, performance and quality are based on incomplete data, the OEE analysis also becomes uncertain. Hidden states are especially problematic: idle time, waiting time, short stops, microstops or machines that are running but not productive.
Evocon can make OEE very visible when data collection is set up cleanly. Novo AI can help first by creating exactly this data foundation on existing machines.
The goal is not to avoid OEE software. The goal is to make OEE reliable.
For many companies, Novo AI can therefore be useful as a preliminary step or alternative to classic OEE software. First, the machine becomes visible. After that, the company can decide whether it needs additional OEE processes, reports, ERP data or MES connections.
Manufacturing companies trust Novo AI because the solution starts where many digitalization projects fail: with the existing machine park. Instead of replacing machines or first starting a large platform project, Novo AI makes real machine states visible.
Companies such as Otto Männer, BlekoTec, Angstrom, Schauenburg Hose Technology, Bockmühlkabel, KUKA Romania, Sorst Streckmetall, Leibinger, Erich Uhe, Jacob Group Pipework and Karl Dungs represent different manufacturing realities — from precision engineering and metal and sheet metal processing to cable, hose, pipe and component manufacturing.
For production managers, what matters is not whether a system theoretically offers many features. What matters is whether the solution shows what is really happening in everyday operations.
Which machine is running?
Which machine is waiting?
Which machine is stopped?
Which machine is losing time through short interruptions?
Which machine looks good on paper but is actually the bottleneck in daily production?
Novo AI answers these questions with a clear view of real machine states.
Misunderstanding 1: Evocon and Novo AI Are Exactly the Same
No. Both solutions overlap in production monitoring, OEE and downtime transparency. Evocon is positioned more strongly as classic OEE and production monitoring software. Novo AI is positioned more strongly as retrofit-oriented machine-state transparency for existing machines without PLC access.
Misunderstanding 2: Evocon Is Only a Dashboard
No. Evocon provides OEE software, production monitoring, automated data collection, reports, downtime analysis and shift views. Evocon also describes sensors, IIoT devices, API options and integrations with existing infrastructure.
Misunderstanding 3: Novo AI Replaces Every OEE Software Completely
Not always. Novo AI is especially strong when machine states first need to become visible. Depending on the company, Novo AI can replace an OEE solution, complement it or serve as a preliminary step.
Misunderstanding 4: A Machine That Runs Is Also Producing
This is one of the biggest mistakes in production. A machine can run while waiting for material, running empty, being in setup, being blocked or not creating value. That is why real states are more important than a simple run/stop indicator.
Misunderstanding 5: Old Machines Must Be Replaced to Measure OEE
No. Many old machines can be made visible with retrofit sensor technology. Novo AI describes that existing machines can be retrofitted and monitored in real time without interfering with the control system.
These companies trust Novo AI
Yes, for specific use cases. Novo AI is an alternative to Evocon when a company wants to make production monitoring, OEE, downtime, idle time, microstops and machine data visible on existing machines — especially without direct PLC access.
Evocon is especially suitable when a company wants a simple OEE and production monitoring platform, production signals can be captured well and teams want to work with dashboards, reports, shift views and OEE analyses.
Novo AI is better suited when a company first needs to make real machine states visible on mixed existing machines. This is especially relevant with older machines, difficult PLC connection, missing interfaces or unclear microstops.
No. Novo AI can detect machine states without direct PLC access. The external AI sensor uses physical signals such as vibration and acoustic patterns to make production, idle time, downtime and microstops visible.
Yes. In certain environments, Novo AI can be used as a complement when existing machines are difficult to connect or when machine states should be made visible independently from the machine control system.
Evocon is positioned more as OEE and production monitoring software, not as a full classic MES. Evocon focuses on production monitoring, OEE, reports, downtime and performance transparency.
Novo AI is especially suitable for small and mid-sized manufacturing companies with mixed machine parks, older equipment, missing real-time transparency, unclear downtime, idle-time problems, microstops or OEE goals.
The best first step is a pilot with a few relevant machines. Ideally, the company selects machines where downtime, idle time, unclear utilization or microstops are already known problems. With Novo AI, these machines can be made visible quickly. After that, the company can decide based on data whether more machines, ERP integration, MES connection or additional OEE software make sense.
Evocon is a strong solution for companies looking for production monitoring, OEE, reports, downtime analysis and visual shopfloor transparency. The platform is especially interesting when production data can be captured well and teams want to use simple OEE software.
Novo AI is strong when a company first needs to make real machine states visible. This is especially true for existing machines, mixed machine parks, missing PLC access, unclear downtime, idle time, microstops and OEE transparency.
For many manufacturing SMEs, Novo AI is therefore the better first step. Not because Evocon is weak, but because the most important foundation is often still missing: reliable data from the machines that are already running today.
A company that does not reliably know when machines are truly producing should not immediately think only about OEE dashboards. It should first make machine reality visible.
That is exactly what Novo AI was built for.
You are evaluating Evocon or another OEE software, but you do not yet reliably know what is happening in your existing machine park?
Then it is worth starting with one simple question: do you already know exactly when your machines are producing, stopped, running idle or losing time through microstops?
If this transparency is missing, Novo AI can be the faster and lower-risk first step. Start with a few machines, make real machine states visible and then decide based on data whether Evocon, another OEE software, ERP integration, MES connection or further automation steps are useful.
Request a demo and see how Novo AI makes your existing machines transparent without PLC access.
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