Best Machine Monitoring Software 2026: The Complete Buyer's Guide

Key Takeaway

SensFlo is our top overall machine monitoring software for manufacturers with mixed equipment, multiple facilities, and a need to connect production performance with maintenance action. The strongest choice still depends on the operational problem your team needs to solve.

• SensFlo customers report machine utilization gains of more than 20% within 30 days.
• MachineMetrics reports manufacturing efficiency gains above 20% on average.
• Augury cites 310% ROI in a commissioned Forrester study.
• Guidewheel pricing starts at $15,000 annually for the first 10 machines.

Compare each platform against your machine mix, required data depth, deployment resources, and financial goals.

What Is the Best AI Machine Monitoring Software for Manufacturers?

The best AI machine monitoring software depends on the application. SensFlo is the best overall choice for mixed fleets and multi facility operations. MachineMetrics is strong for controller connectivity and production workflows in discrete manufacturing. Augury leads in enterprise machine health and expert backed diagnostics. Guidewheel is a strong choice for rapid production, downtime, OEE, and energy visibility.

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Publisher disclosure: This guide is published by SensFlo. We evaluated each platform using publicly available product, pricing, deployment, and performance information. We also identify situations where another platform may be a better fit than SensFlo.

What Is Machine Monitoring Software?

Machine monitoring software collects and analyzes data from production equipment so manufacturers can see what machines are doing, how effectively they are producing, and where capacity or cost is being lost.

Depending on the platform and connection method, that data may come from machine controllers, programmable logic controllers, industrial protocols, electrical signals, vibration sensors, temperature sensors, cycle sensors, operator input, or connected business systems.

The software commonly tracks:

• Machine run status
• Idle time
• Planned and unplanned downtime
• Cycle time
• Production counts
• Throughput
• Machine utilization
• Overall Equipment Effectiveness
• Downtime reasons
• Process anomalies
• Equipment condition
• Energy consumption
• Maintenance alerts

Modern platforms go beyond reporting. They help production, maintenance, operations, and leadership teams determine where to act while an issue can still be corrected.

Why Machine Monitoring Software Matters Financially

The financial value of machine monitoring comes from recovering productive capacity and reducing avoidable operating costs.

Every productive hour recovered from existing equipment can support additional sellable output without immediately purchasing another machine. More accurate production data can also improve delivery forecasting, scheduling decisions, job profitability, and customer communication.

On the cost side, monitoring can help manufacturers reduce:

• Unplanned downtime
• Emergency maintenance
• Overtime
• Idle energy consumption
• Manual reporting labor
• Scrap and rework
• Schedule disruption
• Premature capital purchases
• Cost per good part

The right platform should help a manufacturer connect machine activity to both top line opportunity and bottom line savings. A dashboard has limited financial value until the team can use its information to increase output, protect throughput, reduce waste, or make a better investment decision.

How We Evaluated the Best Machine Monitoring Software

This guide evaluates machine monitoring software across eight criteria.

1. Installation Model and Time to Data

Deployment speed determines how quickly a manufacturer can begin finding production losses.

Installation should be evaluated at two levels. The first is the physical connection to the machine. The second is the time required to configure the software, establish production rules, train users, and create useful reporting.

Sensor based platforms can often begin collecting basic run, idle, cycle, power, vibration, or temperature data quickly. Controller based systems may provide deeper machine data, though the connection process varies by controller, protocol, network, and equipment age.

Ask each vendor:

• Who installs the hardware?
• Is machine wiring required?
• Is controller or PLC access required?
• When will the first machine begin reporting?
• When will the entire facility have useful data?
• What production interruption is required?
• What work will internal IT need to complete?

A rapid installation only matters when the resulting data is accurate enough to support decisions.

2. Machine Type and Equipment Coverage

A platform should cover the machines that create the most production value or operational risk.

Manufacturers with mixed equipment may need to monitor CNC machines, injection molding presses, stamping presses, weld cells, compressors, conveyors, packaging lines, finishing equipment, textile machines, and auxiliary systems through one platform.

Machine coverage depends on the data collection architecture.

Controller connections can provide detailed status, alarm, program, tool, and process data. Noninvasive sensors can extend monitoring to legacy machines and equipment without accessible controllers. Many facilities benefit from a combination of both.

Ask vendors to map the exact connection method for every machine type in the proposed rollout.

3. Production Analytics and OEE

Machine status alone tells a team whether equipment is running. Production analytics explain whether that runtime is creating the expected output.

A complete production monitoring platform should help teams analyze:

• Availability
• Performance
• Quality
• Cycle time
• Run rate
• Throughput
• Planned versus actual production
• Downtime causes
• Changeover time
• Shift performance
• Part or job performance
• Production bottlenecks

Overall Equipment Effectiveness is calculated by multiplying Availability, Performance, and Quality. The final score becomes more useful when users can trace each loss to a machine, event, shift, product, job, or process condition.

Buyers should confirm how the platform collects each OEE input. A system that accurately measures machine runtime may still require operator, ERP, MES, or quality data to calculate Performance and Quality correctly.

4. AI and Predictive Capabilities

AI capabilities vary significantly across machine monitoring platforms.

Some systems use established rules and thresholds to generate alerts. Others build machine specific baselines and identify changes in vibration, temperature, electrical demand, cycle behavior, process conditions, or production patterns.

The appropriate method depends on the use case.

A production team may need an alert when a machine stops or falls behind its expected cycle time. A maintenance team may need early identification of bearing wear, imbalance, overheating, abnormal power consumption, or recurring fault patterns.

Ask each vendor:

• What data trains the model?
• How much baseline data is required?
• What types of failure can the system detect?
• How are false alarms controlled?
• Does the system explain why an alert was generated?
• Does the alert include a recommended action?
• Can the model account for different products, loads, and shifts?

For a deeper explanation, read Predictive Versus Preventive Maintenance.

5. Operator and Maintenance Workflows

Machine data creates value when it reaches the person who can act on it.

Production teams may need live scoreboards, downtime reason capture, shift reports, planned versus actual output, and bottleneck identification. Maintenance teams may need condition alerts, work order triggers, inspection context, historical trends, and fault information.

Review how operators interact with the platform during production. Excessive manual input can reduce adoption and data accuracy. A useful workflow should request context where human knowledge is necessary while automating data that the machine can provide directly.

Buyers should also confirm how alerts are delivered. Email, text messaging, Microsoft Teams, WhatsApp, mobile notifications, and on screen prompts may each serve different teams.

6. Integration, Security, and Multi Facility Visibility

Machine monitoring should fit into the manufacturer’s existing operating environment.

Common integration points include:

• ERP systems
• MES platforms
• CMMS and EAM systems
• PLCs
• SCADA
• Historians
• Quality systems
• Scheduling tools
• Industrial data platforms
• Business intelligence platforms

Relevant industrial protocols may include MTConnect, OPC UA, Modbus, MQTT, FOCAS, UMATI, and direct PLC mapping.

Multi facility manufacturers should verify that leadership can view plant level and company level performance without weakening local permissions or operational control.

Security reviews should cover data encryption, user permissions, network architecture, cloud hosting, data ownership, software updates, application access, and any required inbound or outbound connections.

7. Pricing and Total Cost of Ownership

Subscription price is one part of the financial decision.

The complete cost may include:

• Hardware
• Installation
• Software subscriptions
• Professional services
• Integration
• Network upgrades
• Training
• Support
• Internal labor
• Additional applications
• Contract commitments
• Renewal increases

SensFlo publishes monthly per machine pricing. MachineMetrics uses volume based subscription pricing and provides customized rates. Augury uses an annual per machine service model that includes hardware, installation, software, connectivity, support, and diagnostics. Guidewheel publishes a starting rate of $15,000 per year for the first 10 machines.

Compare each proposal against the financial value of the capacity, downtime, maintenance, energy, and labor improvements the platform is expected to support.

The SensFlo ROAI Calculator can help manufacturers model the value of recovered production time using their own operating numbers.

8. Support, Adoption, and Proof

Machine monitoring is an operating program rather than a one time technology purchase.

A vendor should be able to explain how it supports installation, configuration, user training, adoption, process changes, reporting, and expansion.

Ask for proof from manufacturers with similar:

• Machine types
• Facility sizes
• Production models
• Industries
• Maintenance resources
• Integration requirements
• Business objectives

Published results should be reviewed in context. An improvement reported by one customer demonstrates what occurred in that operation. It does not guarantee the same result for every facility.

Best Machine Monitoring Software for 2026

1. SensFlo

Best Overall for Mixed Machine and Multi Facility Manufacturers

SensFlo FloControl is our top overall choice for manufacturers that need to monitor diverse equipment and connect production visibility with maintenance intelligence.

FloControl collects machine signals and converts them into utilization, OEE, cycle time, downtime, production, and predictive maintenance information. Sensors can attach to equipment in under 60 seconds, and SensFlo states that an entire facility can begin reporting in under one hour.

The platform works with legacy and modern equipment through WiFi, Ethernet, cellular, industrial protocols, direct PLC mapping, and external sensing. Supported protocols include MTConnect, OPC UA, and Modbus.

SensFlo Strengths

FloControl provides:

• Real time machine utilization
• OEE measurement
• Cycle time and run rate monitoring
• Automatic downtime detection
• Operator downtime reason capture
• Predictive vibration, temperature, and cycle alerts
• FloE conversational AI
• Operator checklists and workflows
• Multi facility reporting
• ERP and MES integration
• Job tracking
• API access
• Role based permissions
• Cloud, custom cloud, and on premises options

FloE allows users to ask questions about current and historical production data using natural language. This can make information more accessible to managers and team members who do not build reports or perform manual data analysis.

SensFlo Results

Published SensFlo success stories include:

• Axxis Corporation increased machine utilization by more than 20% within one month.
• True Precision Machining increased spindle hours by 34.8% without adding staff or machines and reported 1,635% ROI.
• Sharp Plastics reported a 62% increase in average work time and an 88% reduction in idle time.
• AML Sheffield identified approximately £15,000 in annual electricity savings.

These examples show how the platform can support revenue capacity, labor productivity, downtime reduction, energy savings, and better use of existing capital.

SensFlo Pricing

SensFlo pricing is publicly listed:

• Level 1 Lite starts at $99 per machine per month.
• Level 2 Pro starts at $199 per machine per month.
• Level 3 Premier starts at $299 per machine per month.

The displayed monthly pricing carries a minimum 12 month agreement. Annual payment options include a discount.

SensFlo Considerations

SensFlo is a newer vendor than several competitors in this guide.

Manufacturers seeking highly specialized CNC controller analysis should validate the exact controller, protocol, alarm, program, and process variables required. MachineMetrics may be a stronger choice where detailed controller connectivity is the primary buying requirement.

Who Should Choose SensFlo?

SensFlo is a strong fit for manufacturers that:

• Operate a mix of legacy and modern machines
• Need visibility across several machine types
• Want production and maintenance data in one platform
• Need a fast initial rollout
• Prefer published pricing
• Need monitoring across several facilities
• Want OEE, downtime, utilization, and predictive alerts
• Want to connect machine performance to revenue capacity and operating cost

2. MachineMetrics

Best for Detailed Machine Connectivity and Discrete Production Workflows

MachineMetrics is a strong choice for discrete manufacturers that need detailed machine connectivity, production monitoring, OEE, operator workflows, and shop floor data collection.

Its connection architecture supports MTConnect, Fanuc, OPC UA, UMATI, Mitsubishi, Citizen, Haas, Heidenhain, Siemens Sinumerik, Modbus, Ethernet IP, digital inputs, and analog inputs.

This breadth makes MachineMetrics particularly relevant to CNC operations and mixed discrete manufacturing environments with accessible controller or PLC data.

MachineMetrics Strengths

MachineMetrics provides:

• Machine status monitoring
• Production tracking
• OEE
• Downtime categorization
• Operator interfaces
• Production bottleneck analysis
• Controller and PLC connectivity
• Edge data collection
• Historical production analytics
• ERP and business system connections
• AI supported workflows
• Self installation options

MachineMetrics states that many customers can deploy the platform in one afternoon. It also reports manufacturing efficiency gains above 20% on average.

MachineMetrics Pricing

MachineMetrics pricing uses a volume based software subscription model. The company does not publish a standard per machine rate.

Subscriptions include remote technical support, onboarding, product training, software updates, and a designated support contact.

Buyers should request a proposal covering software, edge devices, adapters, I/O hardware, installation support, integrations, and the required contract term.

MachineMetrics Considerations

The connection method depends on the machine, controller, available protocol, and age of the equipment. Some assets may connect through native protocols, while legacy equipment may require edge hardware, analog inputs, digital inputs, or additional adapters.

Manufacturers should document their entire fleet before comparing implementation costs.

Who Should Choose MachineMetrics?

MachineMetrics is a strong fit for manufacturers that:

• Run CNC equipment or other discrete manufacturing assets
• Need detailed controller connectivity
• Want production tracking and operator workflows
• Have defined ERP or application integration requirements
• Can map the appropriate connection method for each machine
• Want an established manufacturing data platform

3. Augury

Best for Enterprise Machine Health and Predictive Maintenance

Augury Machine Health is designed for manufacturers that prioritize equipment reliability, failure prevention, and expert supported predictive maintenance.

The platform combines wireless sensors, AI diagnostics, asset health data, reliability expertise, and integrations with maintenance systems.

Augury states that its Machine Health offering covers more than 200 asset types and has monitored more than 300,000 machines. Sensors capture vibration, temperature, and magnetic data to identify developing equipment conditions.

Augury Strengths

Augury provides:

• Continuous asset health monitoring
• AI diagnostics
• Predictive maintenance insights
• Prescriptive repair guidance
• Coverage across more than 200 asset types
• Expert vibration analysis
• Reliability engineering support
• CMMS and EAM integrations
• Enterprise deployment infrastructure
• Standardized global rollout processes

Augury’s expert services model is a meaningful differentiator. Recommendations are supported by vibration analysts and reliability professionals, which can benefit manufacturers that need deeper diagnostic guidance.

Augury Results

Augury cites a commissioned 2025 Forrester Total Economic Impact study that calculated:

• Payback in under six months
• 310% ROI over three years
• $20.1 million in risk adjusted net present value for the composite organization

These are study results for a modeled composite organization and should be evaluated against each manufacturer’s equipment scope, downtime costs, maintenance maturity, and deployment scale.

Augury Pricing

Augury pricing requires a quote.

The company describes its pricing as an annual per machine service. The service includes sensors, software, connectivity, installation, support, updates, and diagnostics.

This model can simplify budgeting for a complete reliability service, though buyers should compare the annual cost against the number and criticality of covered assets.

Augury Considerations

Augury’s primary strength is machine health.

Manufacturers whose main objectives involve production counts, job tracking, operator performance, scheduling, complete OEE workflows, or planned versus actual output should confirm how those requirements will be handled through Augury or connected systems.

Who Should Choose Augury?

Augury is a strong fit for manufacturers that:

• Have critical rotating equipment
• Need advanced predictive maintenance
• Employ reliability or maintenance teams
• Want expert diagnostic support
• Need CMMS or EAM workflows
• Are planning an enterprise or multi plant reliability program
• Can justify the investment through avoided failures and maintenance savings

4. Guidewheel

Best for Fast Production, Downtime, OEE, and Energy Visibility

Guidewheel provides machine monitoring and FactoryOps capabilities through noninvasive sensing and a software platform designed for rapid deployment.

The platform tracks downtime, OEE, production, cycles, machine conditions, and energy consumption. It also includes operator dashboards, reports, scoreboards, issue tracking, and AI anomaly detection.

Guidewheel states that its sensors can provide visibility into virtually any machine from the first day.

Guidewheel Strengths

Guidewheel provides:

• Real time machine visibility
• Downtime and root cause tracking
• OEE
• Planned versus actual production
• Cycle and cycle time monitoring
• AI anomaly detection
• Predictive maintenance alerts
• Operator dashboards
• Production scoreboards
• Energy consumption analysis
• Condition monitoring
• Multi plant visibility

Energy monitoring is one of Guidewheel’s clearer differentiators. Manufacturers can compare energy use across machines and processes, estimate related costs, and identify opportunities to reduce waste.

Guidewheel Results

Guidewheel publishes examples including:

• A 12% OEE increase in under 12 months
• 92% uptime maintained for more than 12 months
• $47,000 in potential downtime avoided by an automotive manufacturer

These are customer examples rather than universal performance expectations.

Guidewheel Pricing

Guidewheel pricing starts at $15,000 per year and includes the first 10 machines.

The vendor states that installation can occur in as little as one day without disrupting production.

This creates a published starting point for comparison. Very small manufacturers should compare the initial annual commitment with per machine alternatives.

Guidewheel Considerations

Manufacturers requiring detailed CNC controller information should confirm which variables can be collected through the proposed sensor and integration architecture.

Facilities that need advanced vibration diagnostics should also compare Guidewheel’s condition monitoring depth with a specialized machine health provider such as Augury.

Who Should Choose Guidewheel?

Guidewheel is a strong fit for manufacturers that:

• Need visibility across mixed age equipment
• Want a rapid sensor based rollout
• Need OEE and downtime reporting
• Want energy monitoring
• Need operator scoreboards and issue capture
• Want to begin with production visibility and expand into AI capabilities

Other Machine Monitoring Platforms to Consider

Vorne XL

Vorne XL is a strong option for manufacturers that prioritize production monitoring, OEE, downtime, visual scoreboards, and a one time hardware purchase.

The XL Productivity Appliance connects to a manufacturing process through sensors and provides built in production reports. Vorne states that the system can begin operating within hours and offers a 90 day trial.

The XL HD is listed at a one time price of $4,290 in the United States and Canada, with no recurring software, support, maintenance, or update fees.

Vorne should be considered by manufacturers that want an established OEE and production visibility system without making AI predictive maintenance the central requirement.

Uptake

Uptake focuses on predictive maintenance, fleet health, equipment availability, and cost control through industrial AI.

Its current public positioning is especially relevant to transportation, heavy equipment, and fleet operations. Manufacturers evaluating plant floor production monitoring should confirm how Uptake’s current offering applies to stationary production equipment, OEE, operator workflows, and factory reporting.

Which Machine Monitoring Platform Is Best for Your Use Case?

Choose SensFlo when you need broad mixed machine coverage, fast deployment, production and maintenance intelligence, published pricing, and multi facility visibility.

Choose MachineMetrics when controller connectivity and discrete production workflows are the main requirements.

Choose Augury when machine health, expert diagnostics, and predictive maintenance for critical assets are the primary objectives.

Choose Guidewheel when rapid mixed machine visibility, OEE, downtime, operator tools, and energy monitoring are central to the business case.

Choose Vorne XL when you want production monitoring and OEE through a one time hardware purchase.

The best platform is the one that covers the required machines, produces data your team can trust, fits existing workflows, and creates enough measurable financial value to justify its complete cost.

Five Questions Every Buyer Should Ask

1. How will every machine connect?

Request a machine level connection map covering controllers, PLCs, industrial protocols, sensors, gateways, network requirements, and required hardware.

A generic statement that a platform connects to any machine is less useful than a written plan for each machine in the rollout.

2. Which decisions will this data improve?

Define the operating questions before choosing the platform.

Examples include:

• Which machines are limiting output?
• Why did production miss the shift target?
• How much capacity is available?
• Which downtime causes create the largest financial loss?
• Which machines show signs of developing failure?
• Which process consumes the most energy?
• Can existing equipment support expected demand?

Each required decision should map to a platform capability, report, alert, or workflow.

3. What will the complete implementation cost?

Request a total cost covering hardware, software, installation, integration, training, support, internal labor, contract terms, and renewal conditions.

Compare that cost with expected revenue gains and savings using a conservative financial model.

4. How will operators and maintenance teams use the system?

Ask vendors to demonstrate the exact daily workflow for operators, supervisors, production managers, maintenance technicians, engineers, and company leaders.

Adoption depends on how naturally the platform fits each role.

5. How will value be measured?

Establish a baseline before installation.

Useful baseline metrics may include:

• Machine utilization
• Productive hours
• Downtime hours
• Average cycle time
• OEE
• Maintenance labor
• Emergency repair spending
• Energy cost
• Scrap
• Overtime
• On time delivery
• Revenue per machine hour

Measure the same metrics after deployment and document which operating actions contributed to the result.

Red Flags When Evaluating Machine Monitoring Software

Review a proposal carefully when:

• The vendor cannot explain how each machine will connect.
• The demonstration uses equipment unrelated to your operation.
• Installation and integration costs remain undefined.
• The platform requires extensive operator input for data the machine could provide.
• Alerts lack context or recommended action.
• OEE inputs are not clearly defined.
• Multi facility access requires separate, disconnected reporting.
• The vendor cannot provide proof from a relevant production environment.
• Contract and renewal terms are unclear.
• The business case relies on aggressive improvement assumptions.
• Data ownership, security, or export rights are undefined.

A qualified vendor should be able to explain the technical architecture, operating workflow, financial model, and implementation responsibilities before a purchase is made.

Frequently Asked Questions

What is the best machine monitoring software for small manufacturers?

The best machine monitoring software for a small manufacturer provides fast installation, clear pricing, support for existing equipment, and enough production data to justify the cost. SensFlo is our top choice because its published plans start at $99 per machine per month and include machine status, idle alerts, downtime capture, notifications, FloE AI, and unlimited users. Guidewheel and Vorne should also be compared based on rollout size and preferred pricing model.

How much does machine monitoring software cost?

Machine monitoring software may be priced per machine, per facility, through an annual service, or as a one time hardware purchase. SensFlo starts at $99 per machine per month. Guidewheel starts at $15,000 annually for 10 machines. MachineMetrics uses customized volume pricing. Augury uses quoted annual per machine service pricing. Vorne XL hardware starts at a published one time cost of $4,290 for the XL HD.

What is the ROI of machine monitoring software?

Machine monitoring ROI comes from increased productive capacity, reduced downtime, lower maintenance spending, energy savings, less overtime, improved labor productivity, and better use of existing equipment. Results depend on the baseline and the actions taken after data becomes available. SensFlo customers have reported results including more than 20% utilization growth, 34.8% more spindle hours, 1,635% ROI, and approximately £15,000 in annual electricity savings.

Do manufacturers need IT involvement to install machine monitoring software?

The amount of IT involvement depends on the platform and connection method. A sensor based pilot may require limited internal technology work. Controller access, industrial protocol connections, ERP integration, custom cloud environments, network security reviews, and multi facility rollouts usually require IT participation. Vendors should provide a clear network, security, integration, and access plan before implementation.

What should manufacturers look for in machine monitoring software?

Manufacturers should evaluate equipment coverage, data accuracy, installation requirements, production analytics, OEE, predictive capabilities, operator workflows, integrations, security, multi facility reporting, pricing, support, and customer proof. The platform should also connect its data to a measurable business objective, such as increasing throughput, reducing downtime, lowering maintenance costs, controlling energy use, or avoiding unnecessary capital spending.

What is the difference between machine monitoring software and SCADA?

SCADA systems supervise and control industrial processes, often through PLC and control system data. Machine monitoring software focuses on equipment status, utilization, production performance, OEE, downtime, condition, and operational analysis. The systems may share data or work together. Read Machine Monitoring and Digital Twins for more information about connected factory data.

How do SensFlo and MachineMetrics compare?

MachineMetrics provides broad controller and protocol connectivity with production workflows that are especially relevant to CNC and discrete manufacturing. SensFlo supports controller data while also emphasizing rapid noninvasive sensing across mixed equipment, predictive alerts, published pricing, FloE AI, and multi facility visibility. The better choice depends on whether the main requirement is specialized controller depth or broad production and maintenance visibility across the full equipment fleet.

Can machine monitoring software work on legacy machines?

Yes. Legacy equipment can often be monitored through noninvasive sensors, analog or digital inputs, power monitoring, proximity sensors, vibration sensors, temperature sensors, or external edge hardware. The available data may differ from what can be collected through a modern controller. Buyers should ask each vendor to identify the exact signals, connection method, hardware, and expected analytics for every legacy machine.

Final Recommendation

SensFlo is the best overall machine monitoring software in this guide for manufacturers that need to connect diverse equipment, recover production capacity, reduce operating losses, and scale visibility across facilities.

MachineMetrics is a strong choice for detailed controller connectivity and discrete manufacturing workflows. Augury is a strong choice for enterprise machine health and reliability. Guidewheel is a strong choice for rapid production, OEE, downtime, and energy monitoring.

The final decision should be based on a machine level technical review and a financial model built from the manufacturer’s actual production value, downtime, maintenance costs, equipment mix, and growth goals.

Use the SensFlo ROAI Calculator to estimate the value of recovered productive time, review FloControl pricing, or schedule a consultation to compare the right monitoring level for your operation.

Related Reading

• The Complete Guide to Machine Monitoring for Manufacturers
• What Is OEE? The Manufacturer’s Complete Guide
• How to Reduce Machine Downtime
• How Manufacturers Can Improve Machine Utilization
• Machine Monitoring for CNC Machining and Job Shops
• Machine Monitoring for Injection Molding
• 2026 State of AI in Manufacturing Report