TRUMPF Alternative for Machine Data: Monitor Existing Machines Without PLC Access
Many manufacturing companies use TRUMPF machines or consider TRUMPF solutions when it comes to laser cutting, punching, bending, welding, laser technology, automation, software, Smart Factory and connected sheet metal manufacturing. TRUMPF is an established provider of machine tools, laser technology, sheet metal processing solutions, automation systems and digital manufacturing solutions. Particularly in sheet metal processing, TRUMPF stands for machines, software, process automation and Smart Factory concepts within a highly integrated machine environment.
At the same time, many production managers face a different and very practical question: How can I obtain reliable machine data from my existing machine park without replacing machines, starting a major integration project or directly accessing the PLC control system?
This is exactly where the comparison between TRUMPF and Novo AI becomes relevant. The question is not whether TRUMPF or Novo AI is “better.” The two solutions address different problems. TRUMPF is primarily a provider of machines, laser technology, sheet metal processing, automation, software and Smart Factory solutions. Novo AI focuses on retrofit-oriented production monitoring for existing machine parks.
Novo AI is an AI-powered retrofit production monitoring solution for existing machines – providing real-time machine data and transparency into OEE, downtime and microstops without PLC access.
This page is intended for manufacturing companies that use TRUMPF machines, are considering TRUMPF Smart Factory, Oseon, TruTops, TRUMPF Connectivity or TRUMPF Automation, or are looking for an alternative way to make machine data visible independently of the machine manufacturer. It is particularly relevant for companies with mixed machine parks: TRUMPF, DMG MORI, Mazak, Okuma, DN Solutions, Haas, Hermle, Chiron, Spinner, Index, Amada, Bystronic, older CNC machines, laser cutting systems, press brakes, special-purpose machines, presses, winding machines, packaging equipment or other existing machines.
The key question is not: “Should I buy TRUMPF or Novo AI?” The better question is: “Do I want to invest in new machines, TRUMPF Automation, TRUMPF software or a TRUMPF-centered Smart Factory – or do I want to quickly gain transparency across my existing machine park?”
TRUMPF is particularly suitable for companies looking for new machines for laser cutting, punching, bending, welding, laser technology, automation, sheet metal manufacturing or a TRUMPF-centered Smart Factory. If a company wants to create new machining capacity, automate sheet metal processes, use an integrated TRUMPF software environment or connect its production more closely through TRUMPF machines, automation and software, TRUMPF is a relevant provider.
Novo AI is particularly suitable for companies that want to make their existing machines visible. This is especially relevant when the machine park is mixed, machines from different manufacturers are in use, older equipment does not provide reliable digital data or PLC access is difficult, expensive, undesirable or economically unjustifiable.
The most important difference is this: TRUMPF is strong in machines, laser technology, sheet metal processing, automation, Oseon, TruTops, Connectivity and Smart Factory concepts. Novo AI is strong in retrofit-oriented production monitoring when the first priority is to make actual machine states visible.
Decision Criteria
Novo AI
TRUMPF
In short: If a company is looking for new sheet metal processing technology, TRUMPF Automation or TRUMPF-specific Smart Factory solutions, TRUMPF is a very good fit. If a company first wants to make existing machines from different manufacturers visible, Novo AI is often the more pragmatic first step.
TRUMPF is a global provider of machine tools, laser technology, sheet metal processing solutions, automation, software and Smart Factory concepts. TRUMPF is particularly well known for machines and systems used in sheet metal manufacturing: laser cutting, punching, bending, welding, laser processing, automation solutions and digital manufacturing software.
For many manufacturing companies, TRUMPF is best known for modern sheet metal processing. This includes laser cutting machines, punching machines, bending machines, welding systems, laser applications, automation solutions and software for digital manufacturing. TRUMPF provides machines and systems that help companies make sheet metal processes more productive, flexible and automated.
In addition to machines, TRUMPF also offers a broad Smart Factory portfolio. TRUMPF describes a Smart Factory as a production environment in which people, machines, automation and software work together. The focus is not only on an individual machine, but on connecting and controlling complete manufacturing processes. TRUMPF provides hardware, automation, software, consulting and service for this purpose.
One important software area is Oseon. TRUMPF describes Oseon as production control software and as the successor or further development of TruTops Fab functions. Depending on the application, this includes areas such as production control, condition monitoring, store management and business processing. This shows that TRUMPF does not view digitalization simply as displaying machine status, but as part of a broader production control environment.
Another relevant area is Connectivity. TRUMPF states that many current machine tools support OPC UA-based communication through interfaces. The Smart Factory Host also provides the foundation for using TRUMPF Smart Factory software applications. This makes TRUMPF particularly interesting for companies looking to build a TRUMPF-centered digital manufacturing architecture.
For the comparison with Novo AI, one point is important: TRUMPF primarily addresses requirements related to modern machines, laser technology, sheet metal processing, automation, software, Oseon, Connectivity and Smart Factory. Novo AI addresses a different question: How can actual machine states across an existing mixed machine park be made visible, even when straightforward PLC access is not available?
TRUMPF is therefore not simply a direct production monitoring software provider like MachineMetrics, Factbird, Evocon or TeePTrak. TRUMPF is a machine and Smart Factory ecosystem. Novo AI is the retrofit monitoring layer for existing and mixed machine parks.
Novo AI is an AI-powered retrofit production monitoring solution for existing machines – providing real-time machine data and transparency into OEE, downtime and microstops without PLC access.
The key difference compared with conventional machine, sheet metal processing, connectivity or automation approaches lies in the starting point. Novo AI does not assume that every machine already has modern digital interfaces. Novo AI starts directly with the existing machine.
An external AI sensor is mounted on the outside of the machine. The sensor captures physical signals such as vibration and acoustics and, depending on the setup, additional machine patterns. The signals are processed directly at the sensor or within a suitable edge architecture. Based on them, Novo AI identifies production-relevant states such as production, idle time, downtime, microstops and unusual deviations.
The data is made visible in the WatchMen platform. Production managers can see which machines are running, which machines have stopped, where idle time occurs, which machines frequently deviate from target performance and how microstops accumulate across shifts. When combined with production order, ERP, BDE or MDE data, WatchMen can also show which order is affected and how actual production times differ from planned times.
Novo AI is therefore particularly relevant for mid-sized companies with existing machine parks. Many manufacturers do not start with a perfectly digitalized production environment. They may operate TRUMPF machines alongside machines from other manufacturers. They have older and newer equipment. They have manual workstations, partially automated processes, older control systems and production environments that have evolved over many years. This is exactly where Novo AI comes in.
Novo AI is not an alternative to a new TRUMPF machine. Novo AI does not replace a laser cutting machine, punching machine, press brake, welding system or automation cell. Novo AI is an alternative when the question is how existing machines can be made transparent quickly and independently of the machine manufacturer.
The goal is not to buy more machines. The goal is to get more out of the machines you already have by making lost production time visible.
Many companies think of new machines, modern control systems, automation cells, TRUMPF software, Oseon, TruTops, OPC UA or major Smart Factory projects first when they consider digitalization. That can make sense, but it is not always the best first step. Especially for mid-sized manufacturers, the existing machine park is often the biggest lever.
A machine does not have to be new to be productive. Many older machines continue to manufacture reliably, accurately and economically. The problem is often not the machine itself, but the lack of transparency. Production managers may know that a machine should theoretically be running. But they do not always know exactly how much time was genuinely productive, how much idle time occurred, how many microstops took place or why a production order took longer than planned.
For TRUMPF machines, technologies such as Oseon, TruTops, Connectivity, Smart Factory Host or TRUMPF Smart Factory solutions can be useful. If a company operates modern TRUMPF machines and has the appropriate infrastructure in place, these solutions can make an important contribution to connecting and controlling production.
However, many real-world machine parks are not homogeneous. A typical production environment does not contain only TRUMPF machines. It contains machines from different manufacturers, years of manufacture, control systems and levels of digital capability. Some machines provide data. Others do not provide reliable data. Others could theoretically be connected, but the effort required would be too high.
In these environments, a different requirement emerges: The company needs a manufacturer-independent view across the entire machine park. It does not only want to know what one particular modern TRUMPF machine reports. It wants to know what is happening across the entire shop floor.
This is exactly where Novo AI becomes relevant. The solution does not first ask which control system is installed or which interface the machine provides. It asks: Which machine states need to become visible so that production teams and management can make better decisions?
For existing machines, this sequence is often critical. Only once actual machine time becomes visible can a company make informed decisions about whether new machines are required, which machines should be automated, which processes need to be improved and where a larger digitalization architecture would create value.
Installation
With TRUMPF, installation requirements depend heavily on the specific project. A new laser cutting machine, punching machine, bending machine, automation solution, Oseon project, TruTops project, Connectivity project or Smart Factory extension are all different types of projects. They can create substantial value, but they typically require planning, technical coordination, machine-specific work, service or implementation steps and, in some cases, integration with existing IT/OT systems.
When new machines or automation solutions are involved, installation is part of a larger investment project. When software and Smart Factory are the focus, the company needs to determine which machines should be connected, which data is available, which processes should be controlled digitally and how the software will later be integrated into planning, production, logistics, storage, order management and monitoring.
Novo AI is designed for a fast retrofit entry point. The external AI sensor is mounted on the outside of the machine. Typically, only power and network access are required. There is no need to begin by accessing the machine control system. This allows a company to start with only a few pilot machines and quickly see which machine states can be made visible.
The difference is therefore not that TRUMPF is “complicated” and Novo AI is “simple.” The difference lies in the type of project. TRUMPF is often a machine, sheet metal processing, automation, Oseon, TruTops or Smart Factory project. Novo AI is a production monitoring project for existing machines.
PLC Access
TRUMPF Connectivity, Oseon, TruTops and Smart Factory applications work with machine, process and system data. This makes sense when the data is available and accessible. With modern TRUMPF machines and an appropriate IT/OT architecture, this can work very well.
However, for many existing machines, several questions remain: Is the data actually accessible? Is the control system suitable? Are the necessary approvals available? Is the connection economically viable? And does the machine really provide the information required for OEE, idle time and microstop detection?
Novo AI does not require direct PLC access to make machine states visible. The sensor operates outside the control system and identifies relevant patterns through physical signals. For older, mixed or difficult-to-integrate machine parks, this is a major advantage. Companies do not first have to connect every machine through its control system in order to see production, downtime, idle time and microstops.
Compatibility With Existing Machines
TRUMPF solutions are particularly strong when a company uses TRUMPF machines, TRUMPF Automation, TRUMPF software or TRUMPF Smart Factory components. In these environments, TRUMPF Connectivity can be an important part of bringing machines and software together within a connected manufacturing environment.
In mixed machine parks, however, practical implementation depends on which machines are present, which interfaces are available, which systems need to be integrated and how much standardization already exists within the plant. A modern TRUMPF machine may be very easy to connect. An older third-party machine, a special-purpose machine or a process with a high degree of manual work may be significantly more difficult.
Novo AI is particularly suitable for mixed machine parks. The solution is not restricted to a particular manufacturer or control generation. The decisive factor is whether the machine produces recognizable physical signals during operation. This means Novo AI can be used with very different types of equipment: laser cutting systems, press brakes, punching machines, CNC machines, lathes, milling machines, presses, injection molding machines, winding machines, packaging equipment or special-purpose machines.
This is important for companies that operate machines from several manufacturers. They do not want a separate transparency solution for every brand. They need one common view of machine states, regardless of whether a machine comes from TRUMPF, Bystronic, Amada, Mazak, DMG MORI, Okuma, DN Solutions, Haas, Hermle or another manufacturer.
OEE, Downtime and Microstops
TRUMPF software and Smart Factory solutions can support production processes, production control, machine status and condition monitoring. Oseon and former TruTops Fab functions are particularly relevant when production control, process management and manufacturing flow need to be digitalized within a TRUMPF-centered production environment.
For OEE, downtime, idle time and microstops, however, a technical data connection alone is not always enough. The decisive factor is whether the data correctly reflects the actual production state. A machine can be running without being productive. A system can be switched on without any value-adding process taking place. A production order can be planned while material, operators or downstream processes are missing. These differences are critical in practice.
Novo AI focuses strongly on machine states. The solution distinguishes between production, idle time, downtime and microstops based on the real behavior of the machine. This allows companies to identify losses that often disappear within conventional status messages or manual production feedback.
Microstops are particularly important. They are often too short to be recorded manually. But across a shift or a week, they can cause significant productivity losses. Novo AI helps make these patterns visible.
MES Depth
TRUMPF is not a traditional MES such as Siemens Opcenter or MPDV HYDRA, but with Oseon, Smart Factory, Connectivity, automation and production control, it offers a strong digital manufacturing environment for sheet metal processing. In TRUMPF environments, these components can help companies better organize machines, orders, material flow, storage, production and digital manufacturing processes.
Novo AI is also not a complete MES. Novo AI is a specialized production monitoring solution for existing machines. Its strength does not lie in complete production order control, quality management, traceability or material flow. Its strength lies in making actual machine states visible and using them to create transparency around OEE, downtime, idle time and microstops.
For many companies, this is not a contradiction. Novo AI can serve as a first step before MES, ERP, MDE or other systems are integrated more deeply. First, machine states become visible. Then the company can decide which deeper integrations are actually necessary.
ERP Integration
TRUMPF Smart Factory and production control software can be integrated into digital manufacturing architectures. Depending on the setup, machine, production order, material and production data can be connected with higher-level systems. This is particularly useful when a company wants to build a more deeply integrated sheet metal manufacturing environment.
Novo AI can also be connected with ERP, MDE or BDE data. The difference lies in the sequence. Novo AI can first make machine states visible and add production order data later. This creates a realistic planned-versus-actual comparison: Which machine ran for which order? How long was actual production time? Where did interruptions occur? Which planned times are inaccurate?
For mid-sized companies, this sequence is often more pragmatic. They do not have to build a complete ERP/MES/Smart Factory architecture immediately, but can first identify where actual machine performance differs from production planning.
Operator Workflows
TRUMPF offers machine-level operating, programming, production control and Smart Factory environments around modern TRUMPF machines and sheet metal processes. Depending on the solution, this can include operator guidance, machine programs, production control, condition monitoring, production planning and digital shop-floor processes.
Novo AI focuses more strongly on production and shop-floor transparency based on machine states. Production managers can see which machines are running, which machines have stopped and which machines require attention. Downtime reasons, shift comparisons, alerts and production order deviations can be used to respond more quickly.
If a company is looking for machine-level operation, sheet metal process control, programming, TRUMPF Automation or TRUMPF-specific Smart Factory functions, TRUMPF is a good fit. If a company is looking for consistent production monitoring across machines from several manufacturers, Novo AI is often closer to the operational problem.
Implementation Complexity
TRUMPF projects can vary significantly depending on the objective. A new machine, an automation solution, an Oseon project, a TruTops project or a Smart Factory extension are all separate investment and implementation projects. They can create substantial value, but they require technical planning, process design and coordination.
Novo AI reduces the complexity of getting started because the first step is not the complete modernization or integration of the machine park. Companies can begin with a small number of machines and answer specific questions: Which machine is losing the most time? Where does idle time occur? Which microstops happen repeatedly? Which shift shows unusual deviations?
This approach reduces risk. The company does not begin with a major investment project based on assumptions. It begins with actual production data.
Best Company Size
TRUMPF is suitable for companies of all sizes that require machines, laser technology, sheet metal processing, automation, software or Smart Factory solutions. TRUMPF is particularly relevant for companies with demanding sheet metal manufacturing, laser cutting, punching, bending, welding, automation requirements or a strong TRUMPF machine base.
Novo AI is particularly relevant for small and mid-sized manufacturing companies with existing machine parks. It can also be useful for larger companies when individual plants, production lines or machines need to be retrofitted pragmatically. Novo AI is particularly suitable when transparency needs to be created quickly and the machine park is mixed.
Ideal Use Case
The ideal use case for TRUMPF is: The company wants to use modern machines for sheet metal processing, laser technology, automation, Oseon, TruTops, Connectivity or TRUMPF Smart Factory.
The ideal use case for Novo AI is: The company wants to monitor existing machines quickly, make actual machine states visible and reduce production losses without first requiring PLC access or a major integration project.
Novo AI is the better choice when the company does not first want to purchase new machines or build a TRUMPF-centered digital architecture, but instead needs real transparency across existing machines.
This is often the case when the machine park is mixed. A company may operate TRUMPF machines alongside machines from other manufacturers. Some equipment is modern. Other equipment is older. Some machines provide data. Others do not. Downtime may be recorded manually in some areas. Idle time may not be detected reliably. Microstops disappear in day-to-day production.
In this situation, Novo AI is often the better first step. The solution makes machine states visible without requiring every machine to be deeply integrated first. Companies can begin with a pilot, collect data and quickly identify which machines are responsible for the largest losses.
Novo AI is also better suited when PLC access is difficult. Even if a machine can technically provide data, connecting it may be too complex in practice. It may require approvals, interfaces, IT coordination, security checks or support from the machine manufacturer. Novo AI reduces this dependency because machine states are detected using external sensor technology.
Another advantage arises when the company first wants to understand OEE, idle time, downtime and microstops. Many companies already have machines but lack reliable transparency. They do not immediately need another machine. They first need a clear understanding of how effectively their existing machines are being used.
Novo AI is particularly strong when the following questions are important:
Which machines are actually producing?
Which machines have stopped?
Where is idle time occurring?
Which microstops keep recurring?
How do shifts differ?
Which machines are performing below plan?
Which production orders repeatedly cause time losses?
Which machines should be improved or retrofitted first?
If these questions cannot currently be answered reliably, Novo AI is often the better first step.
TRUMPF is the better choice when a company needs new machines, laser technology, sheet metal processing, automation solutions, Oseon, TruTops or TRUMPF-specific Smart Factory solutions.
If a machine is no longer technologically capable of meeting production requirements, produces too slowly, does not provide enough automation or can no longer perform certain sheet metal processes economically, transparency alone will not solve the problem. In that case, a new TRUMPF machine, an automation solution or a modern sheet metal manufacturing strategy may be appropriate.
TRUMPF is also a good fit when a company wants to expand its manufacturing capabilities. Examples include laser cutting, automated bending, punching, welding, material handling, production control with Oseon or a more deeply connected Smart Factory.
Another use case is a company with a strong TRUMPF machine base. If the machine park mainly consists of TRUMPF machines and the company wants to use TRUMPF Connectivity, Oseon, TruTops, Smart Factory Host or TRUMPF Service, the TRUMPF approach can make a great deal of sense.
TRUMPF is also suitable when machine performance, sheet metal processes, programming, automation, service, storage, production control or digital manufacturing within the TRUMPF environment are the main priorities. In these situations, the machine manufacturer itself is often the right source.
In short: TRUMPF is the better choice when the main requirement is machines, laser technology, sheet metal processing, automation, Oseon, manufacturer software or expanding technical manufacturing capabilities. Novo AI is the better choice when the main requirement is manufacturer-independent production monitoring for existing machines.
For many mid-sized manufacturing companies, the right question is not: “TRUMPF or Novo AI?” The better question is: “Which step should come first?”
If a machine is no longer technologically sufficient, a new sheet metal processing strategy is required or automation is the central challenge, TRUMPF may be the right path. In that case, the investment is about machines, laser technology, sheet metal processing, automation or a TRUMPF-centered Smart Factory environment.
However, if the company still lacks reliable machine transparency, Novo AI is often the better first step. Before purchasing new machines or beginning larger digitalization projects, the company should first understand what is actually happening with the machines already in operation.
For many mid-sized manufacturers, the pragmatic sequence is:
First, make machine states visible. Then analyze downtime, idle time and microstops. Next, connect production order data and ERP information. Only then decide which machines should be modernized, automated, replaced or integrated more deeply.
This sequence reduces risk. The company does not immediately invest in new machines or large systems before understanding where the greatest productivity losses actually occur. Instead, it begins with actual production data.
Novo AI can therefore serve as a useful first step before machine investments. It can also remain a permanent production monitoring solution when the existing machines are intended to remain in operation. The decisive factor is the starting point: Is the first problem a lack of visibility into what the machines are actually doing, or has the technical capability of the machines already become the bottleneck?
Scenario 1: Mixed Machine Park With TRUMPF and Other Manufacturers
A company operates TRUMPF machines alongside machines from other manufacturers. Some machines are modern, while others are older. Production management wants one consistent view of runtime, idle time, downtime and OEE across the entire machine park.
Novo AI is particularly suitable in this scenario. The solution is manufacturer-independent and makes machine states visible through external sensor technology. This creates a common transparency layer across different machines.
Scenario 2: A New Laser Cutting Machine, Press Brake or Automation Solution Is Required
A company requires additional machining capacity, greater flexibility, automated bending, laser cutting, punching, welding or material handling. The existing machine is no longer technologically sufficient.
TRUMPF is often the better choice in this scenario. Novo AI can provide transparency, but it does not replace a new machine tool, laser cutting machine, press brake or automation cell.
Scenario 3: The Company Wants to Introduce OEE but Lacks Reliable Data
A company wants to introduce OEE as an operational KPI. However, reliable information about availability, performance, downtime, idle time and microstops is missing. Many losses are known to exist but cannot be measured accurately.
Novo AI is particularly suitable in this situation. OEE is only as reliable as the underlying data. When machine states become visible automatically, OEE can be calculated more reliably and used more effectively on the shop floor.
Scenario 4: TRUMPF Software Is Already in Place, but Other Machines Remain Invisible
A company already uses TRUMPF software or TRUMPF Connectivity for certain machines. Other equipment in the plant, however, remains unconnected or difficult to integrate.
Novo AI can complement the existing setup. The solution can also make machines visible that cannot easily be integrated through the existing manufacturer-specific connectivity system.
Scenario 5: Machine Downtime Occurs, but the Causes Are Unclear
A company sees that production orders are taking longer than planned. The machines are not operating as expected, but downtime reasons, idle time and microstops are not being documented reliably.
Novo AI is often the better starting point in this situation. The solution shows actual machine states and helps identify recurring loss patterns.
Many companies purchase new machines because they need more capacity. Sometimes that is the right decision. But sometimes the real problem is not insufficient machine capacity, but lost utilization time.
If a machine spends several hours per day idling, setup times are excessive, microstops remain undetected or production orders are not reported correctly, purchasing a new machine may only solve part of the problem. The company gains additional theoretical capacity, but not automatically greater transparency.
Novo AI helps companies make this decision more effectively. Once the existing machines become transparent, the company can determine whether a new machine is genuinely required or whether existing capacity can first be recovered.
This is particularly important when expensive investments in laser cutting, bending, punching, welding or automation are being considered. Before purchasing another machine, a company should understand how effectively its existing machines are actually being used. A new machine may be necessary. But the greater opportunity may lie in reducing idle time, improving planning, responding to downtime more quickly or improving production order data.
Novo AI provides the data foundation for this decision.
Manufacturing companies trust Novo AI because the solution addresses the point where many digitalization projects struggle: the existing machine park. Instead of replacing machines or beginning with a large integration project, Novo AI makes actual 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 very different manufacturing environments – from precision engineering and metal and sheet metal processing to cable, hose, pipe and component manufacturing.
For these companies, theory is not enough. Machines need to run, downtime needs to be identified, idle time cannot remain invisible and production decisions require a reliable data foundation. This is exactly what Novo AI was designed for.
This practical perspective is particularly important on a TRUMPF alternative page. Many companies already own good machines. The question is not always whether another machine needs to be purchased. The question is often: Are we actually using the machines we already have effectively enough?
Novo AI helps companies answer this question based on actual production data.
Misunderstanding 1: Novo AI Is an Alternative to TRUMPF Machines
No. Novo AI does not replace a TRUMPF machine. Novo AI is an alternative when the requirement involves production monitoring, machine data, OEE, downtime and idle-time transparency for existing machines.
Misunderstanding 2: New Machines Automatically Solve Transparency Problems
New machines can provide modern data. However, operational transparency only emerges when that data is interpreted correctly, connected with production orders and used on the shop floor.
Misunderstanding 3: Manufacturer Software Is Enough for Every Machine Park
Manufacturer software can work very well when the machine park is suitable. In mixed Brownfield environments, however, a manufacturer-independent solution is often required.
Misunderstanding 4: Machine Status Is the Same as Productive Time
A machine can be running without being productive. This is exactly why idle time, microstops and actual machine-state analysis are so important.
Misunderstanding 5: Older Machines Have to Be Replaced
Many older machines continue to manufacture reliably. The problem is often not the machine itself, but the lack of transparency. Novo AI helps make existing machines data-enabled without replacing them.
These companies trust Novo AI
Yes, but only for certain use cases. Novo AI is not an alternative to TRUMPF machines, laser technology, automation or TRUMPF software. Novo AI is an alternative when the primary objective is machine data, production monitoring, OEE, downtime, idle time and microstop transparency for existing machines.
TRUMPF is better suited when a company requires new laser cutting machines, bending machines, punching machines, welding systems, automation solutions, Oseon, TruTops or TRUMPF-specific Smart Factory solutions.
Novo AI is better suited when a company has a mixed machine park, wants to monitor machines from different manufacturers or needs to make machines transparent without straightforward PLC access.
Yes. Novo AI can typically also be used on TRUMPF machines when the machine generates recognizable physical signals during operation. The sensor is mounted externally and does not require direct intervention in the machine control system.
No. Novo AI can identify machine states without PLC access. The AI sensor uses signals such as vibration and acoustics to make production, idle time, downtime and microstops visible.
Yes. If a company already uses TRUMPF software or TRUMPF Connectivity for certain machines, Novo AI can complement the existing setup by making other machines in a mixed machine park visible or by creating a consistent production monitoring system.
Novo AI is particularly suitable for small and mid-sized manufacturing companies with mixed machine parks. This includes companies operating TRUMPF machines alongside machines from other manufacturers, older equipment, limited real-time transparency, unclear downtime, idle-time problems or OEE improvement targets.
The best first step is a pilot involving a small number of relevant machines. Ideally, the company selects machines where downtime, idle time or unclear utilization is already known to be a problem. With Novo AI, these machines can be monitored quickly. The company can then use actual data to decide whether it makes sense to connect additional machines, integrate ERP data, implement TRUMPF software, connect an MES or invest in new machines.
The decision between TRUMPF and Novo AI depends on the company’s starting point.
TRUMPF is strong when a company is looking for new machines, laser technology, sheet metal processing, automation, Oseon, TruTops, Connectivity or TRUMPF Smart Factory. It is particularly relevant when the objective is to expand technical manufacturing capabilities or build a more deeply integrated sheet metal manufacturing environment.
Novo AI is strong when a company first needs to make actual machine states visible. The solution is particularly suitable for existing machines, older or mixed equipment, environments without straightforward PLC access, unclear downtime, idle time, microstops and missing OEE transparency.
For many mid-sized manufacturing companies, Novo AI is therefore the better first step. Not because TRUMPF is a poor solution, but because the most important foundation is often still missing: reliable data from the machines that are already operating today.
A company that does not know when its machines are actually producing should not immediately begin with a major machine investment or digitalization decision. It should first make what is actually happening on those machines visible.
That is exactly what Novo AI was designed to do.
Do you operate TRUMPF machines or are you considering TRUMPF Oseon, TruTops, Connectivity or Smart Factory, but still do not know reliably what is actually happening across your entire machine park?
Then start with one simple question: Do you already know exactly when your existing machines are producing, stopped, idling or losing production time through microstops?
If this transparency is missing, Novo AI may be the faster and lower-risk first step. Start with a small number of machines, make actual machine states visible and then use real production data to decide whether new machines, TRUMPF software, ERP integration, MES connectivity or further automation measures make sense.
Request a demo today and find out how Novo AI can make your existing machines transparent without PLC access.
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Novo AI – WatchMen Plattform - Übersicht zur WatchMen Plattform für Echtzeit-Produktionsüberwachung, Maschinendaten, Berichte, Analysen und industrielle KI-Anwendungen (Zugriff am: 11.08.2026)