Predictive Maintenance AI
Augury
SF 9.0AI-driven machine health diagnostics
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Predictive Maintenance AI
Petasense
SF 8.1Wireless sensors for machine health
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Quick decision guide
Choose based on your workflow
Augury may fit better if...
- Vibration Sensors
- AI Diagnostics
- Expert Review
Petasense may fit better if...
- Wireless Motes
- Cloud Analytics
- Health Scores
Overview
How each tool is described
Augury
What is Augury?
Augury is an industrial AI platform for manufacturers that combines machine-condition monitoring, prescriptive diagnostics, process optimization, and role-based AI agents. Its current Industrial AI Workforce connects machine and operational data to help reliability, maintenance, and operations teams identify risks, improve production performance, and move from diagnosis toward approved actions.
- Machine health: Augury’s Machine Health uses continuously connected industrial sensors to capture condition data such as vibration, temperature, and magnetic signals. AI diagnostics identify anomalies, faults, and severity, while Augury reliability experts validate important findings and provide guidance on what is failing, when action is needed, and what maintenance teams should do next.
- Process optimization: Process Health analyzes production data to identify root causes of inefficiencies and provides real-time recommendations to operators and engineers. Teams can adjust process controls and setpoints to pursue objectives such as higher throughput and yield while reducing waste, energy consumption, and process losses.
- Implementation checks: manufacturers should assess which assets justify continuous monitoring, sensor and connectivity requirements, production-data integrations, CMMS and maintenance workflows, process-data availability, and adoption by reliability, maintenance, and operations teams. Augury can also integrate with systems including CMMS, EAM, SCADA, and APM platforms.
- Commercial considerations: Machine Health is offered as a turnkey annual service billed per machine, per year. Augury states that the fee includes sensors, software, connectivity, installation, support, updates, and unlimited diagnostics rather than requiring customers to purchase the monitoring hardware separately.
Augury is particularly relevant to manufacturers that want predictive maintenance and process optimization connected to prescriptive guidance and industrial AI workflows rather than relying only on condition alerts or standalone analytics.
Petasense
What is Petasense?
Petasense is an industrial asset reliability and predictive maintenance system that combines wireless condition-monitoring hardware with cloud software, machine learning, and web and mobile applications. It is designed to continuously monitor rotating and non-rotating equipment, identify abnormal asset behavior, and give reliability teams earlier visibility into developing faults.
- Condition monitoring: Petasense's current Vibration Mote line includes the VM4 and VM4 Pro for equipment such as motors, pumps, fans, compressors, and gearboxes. Both collect triaxial vibration and temperature data, while the VM4 Pro also detects running speed and is intended for variable-speed, batched, and spared equipment. The separate Transmitter can connect to vibration, temperature, pressure, current, ultrasound, and many third-party industrial sensors for monitoring a broader range of assets.
- ARO Cloud analytics: The Asset Reliability & Optimization Cloud processes sensor data and uses machine learning to create asset-specific health scores based on deviation from established operating baselines. Engineers can investigate problems through trend charts, time waveforms, spectra, harmonic and sideband analysis, bearing tones, configurable vibration measurements, demodulated spectra, alerts, and other diagnostic tools.
- Deployment and integration: Sensors normally communicate over enterprise Wi-Fi, although cellular gateway options are available where plant Wi-Fi is unsuitable. Petasense provides REST APIs and integrations with process historians and CMMS/EAM systems, while its cloud currently runs on Google Cloud with a private-cloud option available by request. Buyers should therefore assess network coverage, sensor and measurement requirements, integration needs, and internal cloud policies before deployment.
- Commercial model: Petasense deployments combine upfront hardware and setup costs with an ongoing ARO Cloud subscription. The total investment depends on factors such as the number of monitored assets, sensor types, installation requirements, and the scale of the condition-monitoring program rather than a simple public per-user software price.
Petasense is most relevant to industrial reliability and maintenance teams that want to replace or supplement periodic manual inspection with continuous remote condition monitoring. Its value depends on asset criticality, the faults and parameters that need to be monitored, existing maintenance practices, connectivity, and whether earlier detection can reduce unplanned downtime or unnecessary maintenance.
Side-by-side
Key differences
Criteria
Predictive Maintenance AIAugury
Predictive Maintenance AIPetasense
Best for
Predictive Maintenance AI
Predictive Maintenance AI
Score
9.0/10
8.1/10
Pricing
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Category / audience
AI Maintenance, CMMS & Asset Reliability Software › Predictive Maintenance AI
- predictive maintenance
- machine health
- vibration analysis
AI Maintenance, CMMS & Asset Reliability Software › Predictive Maintenance AI
- predictive maintenance
- machine health
- wireless vibration
OVERLAP
Where Augury and Petasense are similar
Both tools cover similar catalog signals. The deciding factor is usually workflow fit, implementation needs, and ecosystem fit.
0 capabilities1 workflows
Shared workflows
Workflow overlap
Feature check
Side-by-side feature check
Feature
Augury
Petasense
Vibration SensorsWireless sensors on rotating critical machines
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AI DiagnosticsDetects bearing imbalance and looseness faults
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Expert ReviewReliability analysts validate machine health alerts
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Health DashboardsPlant-wide views of rotating asset health
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CMMS IntegrationSends recommendations into existing work order systems
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Failure LibraryTrained on extensive industrial fault data
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12 capabilities compared.12 differentiating rows are shown first.
Use cases
Who they're built for
Augury
- Protect critical rotating equipmentCatch motor pump and fan issues weeks early
- Reduce unplanned production downtimeUse diagnostics to schedule fixes during planned windows
- Support reliability without analystsGet diagnoses without hiring full-time vibration specialists
Petasense
- Monitor critical pumps and motorsAdd wireless vibration on essential rotating plant equipment
- Avoid expensive routine inspectionsReplace some manual rounds with continuous sensor data
- Catch early bearing wearSpot bearing issues before they cause breakdowns
The trade-offs
Pros & cons of each tool
Trade-offs
Augury
Pros
- Trusted diagnostics on critical rotating equipment
- Bundled experts review machine health alerts
- Fast time to value on pilot lines
Cons
- Subscription cost adds up across many machines
- Less self-service customization than analytics platforms
Trade-offs
Petasense
Pros
- Sensors install fast on rotating equipment
- Cloud platform shows clear health trends
- Suits focused predictive pilots on key assets
Cons
- Cost grows fast across plant-wide rollouts
- Process and fixed assets need other tools
Shared trade-offs
Catalog data lists these trade-offs for both tools.
Cons
- Coverage focused on rotating equipment classes
Final verdict
Best fit depends on your workflow
Current catalog data shows meaningful overlap between Augury and Petasense. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.
Shared catalog overlap
Augury and Petasense share 1 catalog signal, so the decision should focus on fit rather than broad capability alone.
Differentiators available
Augury has 4 visible decision signals and Petasense has 4.
Score signal
Augury has the higher SoftFinders Score in the current catalog data.
Choose Augury if…
- Protect critical rotating equipment
- Reduce unplanned production downtime
- Support reliability without analysts
- Vibration Sensors
Choose Petasense if…
- Monitor critical pumps and motors
- Avoid expensive routine inspections
- Catch early bearing wear
- Wireless Motes
TRY THEM YOURSELF
See which one fits your workflow
Both tools have their strengths, the best way to decide is to spend a few minutes inside each.