Top 3 Augury Alternatives

Augury delivers machine health monitoring through its Halo sensor platform that captures vibration, temperature, and magnetic field data to detect both mechanical and electrical anomalies in industrial equipment. Operating on a Machine Health as a Service model, the company deploys wireless sensors with edge computing capabilities and AI algorithms trained on extensive operational data. 

The platform promises guaranteed diagnostics backed by insurance coverage up to $150,000 per machine annually. However, teams increasingly find that Augury's model creates dependencies through its pure subscription pricing structure, lacks native maintenance management capabilities, and requires lengthy sales engagements for pricing transparency that complicates budgeting and total cost calculations.

As with any serious project investment with significant scope and scale, researching your options and asking the right questions of providers is vital for understanding the relative benefits and drawbacks of specific solutions.

We know this takes you away from work that already drains every hour and bit of energy you have. That’s why we’ve dug in and done some of the hard work for you. Fortunately, you're on a path that is bringing you closer to solutions that will positively transform your everyday experience.

Why Teams Are Exploring Augury Alternatives

While Augury delivers AI-powered machine health monitoring with guaranteed diagnostics backed by insurance coverage, maintenance teams increasingly encounter limitations that constrain their reliability programs. The platform's sole focus on machine health, without integrated maintenance workflows, and dependency on automated AI without optional expert support, creates operational friction as programs scale. 

Advanced reliability teams need comprehensive condition monitoring capabilities and the flexibility to execute maintenance within a unified platform rather than managing disconnected systems. Teams exploring alternatives report consistent challenges across several critical areas.

Lack of integrated maintenance workflows: Augury provides machine health monitoring without native CMMS capabilities, requiring teams to integrate with separate maintenance management systems for work order creation and execution. This creates additional complexity, potential compatibility issues, and separate subscription costs rather than having everything unified in a single platform.

Limited comprehensive Reliability capabilities: While Augury offers machine health monitoring with AI diagnostics, it lacks the broader Asset Performance Management tools needed for enterprise reliability programs. Teams cannot access built-in FMEA tools, root cause analysis modules, or multi-technique data consolidation within Augury's platform.

Dependency on pure AI without expert support options: Augury's model relies entirely on automated AI diagnostics without offering optional human expert review when needed. Teams dealing with complex vibration spectra or unusual failure modes have no path to request specialist interpretation, leaving them dependent solely on the AI's conclusions.

Delayed benefits during implementation: Teams report that the implementation process was complex and resource-intensive, requiring coordination of personnel for asset inventory, sensor deployment, system calibration, and extensive data collection well in advance of seeing benefits. Organizations experienced uneven platform adoption, with experienced maintenance leads initially distrustful of the alerts.

Key Capabilities to Prioritize When Replacing Augury

When evaluating alternatives to Augury, successful teams focus on solutions that deliver immediate autonomous insights while maintaining the flexibility to access expertise when complex issues arise. 

The ideal platform combines comprehensive reliability tools with native maintenance workflows, enabling teams to move from detection through resolution without switching systems or waiting for external analysis. And multi-technique data consolidation ensures no critical insights are missed by relying on vibration alone. These capabilities distinguish truly unified reliability solutions from standalone monitoring services:

• Comprehensive Condition Monitoring: A unified APM platform that consolidates vibration, oil analysis, thermography, and ultrasound data with failure libraries, FMEA tools, and root cause analysis capabilities in a single system rather than machine health monitoring alone.
• Native CMMS integration: Seamless workflow from condition monitoring insights to work order execution within a single platform, eliminating integration complexity and enabling automatic work order generation from sensor alerts with full audit trails.
• Automated AI diagnostics with expert backup: Autonomous fault detection that delivers immediate insights for 70+ failure modes, with optional expert analysis available on demand when complex cases require specialist interpretation rather than pure AI dependency.
• Multi-technique data consolidation: Platform capability to unify vibration, temperature, oil analysis, thermography, and ultrasound data into a single timeline and dashboard for comprehensive asset health visibility beyond vibration-only monitoring.

Augury Alternatives at a Glance

Top 3 Augury Alternatives

Tractian

Best for: Teams that want a powerful, sensor-first reliability solution that delivers autonomous diagnostics at the asset level, while also connecting seamlessly to a complete maintenance solution natively.

Tractian delivers an AI-powered condition-based maintenance solution that combines Smart Trac Ultra wireless sensors with a comprehensive condition maintenance platform and an integrated CMMS. Unlike pure machine health monitoring services, Tractian's AI autonomously detects all major failure modes with patented Fault-Finding Auto Diagnosis™ algorithms trained on 3.5 billion samples. 

The platform consolidates all predictive maintenance techniques, including vibration, oil analysis, thermography, and ultrasound, into a unified timeline with FMEA tools, root cause analysis modules, and criticality-based alert timing that adjusts based on P-F curves.

The solution provides both immediate automated insights and optional Supervised Analysis when complex vibration spectrum require expert interpretation. With transparent per-sensor pricing and proven results across 1,500+ deployments, documented teams have achieved 297% ROI in under 12 months while maintaining operational independence rather than vendor dependency.

Key features

• Patented AI auto diagnostics with expert backup: Identifies all major failure modes automatically with plain-language prescriptive guidance, plus optional Supervised Analysis for complex cases requiring specialist interpretation.
• Native CMMS with seamless integration: Sensor insights automatically generate prioritized work orders with procedures and tracked resolution, eliminating manual handoffs between monitoring and maintenance execution.
• Comprehensive Reliability suite: Full platform including FMEA tools, root cause analysis, asset health scoring, and multi-technique data consolidation across vibration, oil, thermography, and ultrasound.
• Industrial-grade sensor capabilities: IP69K- and ATEX/NFPA-certified hardware with 3-5 year battery life, 3,300 ft wireless range, and RPM/runtime tracking for variable-speed equipment.
• Fast rollout with predictable scaling: Wireless, IT-light deployment means minutes-per-sensor install and rapid time-to-value. Transparent per-sensor subscription keeps budgeting straightforward as you expand across lines and sites.

Why real customers choose Tractian over Augury

• “I like that I can track all of our assets from one location. If a motor is having issues in one part of the plant, and then another on the other side of the plant I am able to basically troubleshoot both motors in one location.” Nicholas D. Lead Maintenance Supervisor
• “The ease of tracking equipment without having to constantly observe. Tractian does the work for you.” Jordan D., Enterprise Maintenance Supervisor
• “Easy to use and understand. Helpful for showing non-reliability trained teammates issues with assets.” Verified Enterprise User in Food & Beverages

Why companies choose Tractian over Augury

• “The sensor became part of our routine. The maintenance team requests the shutdown, and the production team is already prepared. We've gained agility and mutual trust. We managed to remove that 12-day shutdown from our calendar and gain 7 to 10 extra days of production. We reach nearly 40 tons per day, so if we're talking about a 10-day gain, that's 400 additional tons to turn into product." Rafael Tomei, Production Coordinator at ICL
• “I'm really impressed by the reliability metrics that Tractian is able to calculate in real time, and the level of detail when it comes to the failure modes and the insight generation. Tractian has really improved our asset availability.” Guatam Sane, Senior Reliability Engineer at CP Kelco
• “Tractian has allowed us to move from firefighting mode to proactive maintenance. We can plan ahead and keep things running smoothly, which makes a huge difference for the team and for the animals we care for.” Georgia Aquarium Plant Engineer

Pro and Cons at a Glance

How much does Tractian cost?

Tractian offers custom, subscription-based pricing for its condition-monitoring sensors, along with dedicated sales consultations tailored to each deployment and the customer’s operational needs. Teams can request a quote without a credit card and typically achieve full setup and measurable ROI within just a few months.

IFM (moneo)

Best for: Manufacturing operations with existing IO-Link infrastructure seeking modular condition monitoring that integrates with established automation systems through standardized protocols.

IFM Electronic provides vibration monitoring through its moneo RTM platform and wireless sensor ecosystem, offering both wired IO-Link sensors and battery-operated wireless options. The system monitors vibration in accordance with ISO 10816 standards, incorporating temperature tracking, to enable condition-based maintenance through real-time data visualization and alerting. 

The moneo software platform serves as the central hub for data analysis, providing dashboards, trend monitoring, and automated alerts when thresholds are exceeded. Integration with existing systems is achieved through standard protocols such as MQTT and OPC UA, with direct connectivity to SAP PM modules via the Shop Floor Integration interface.

The platform supports predictive maintenance through continuous monitoring but relies on threshold-based alerting rather than automated diagnostics, requiring internal expertise or external analysts for fault identification and root cause determination.

Key features

• Modular sensor ecosystem: Combination of IO-Link wired sensors and wireless vibration monitoring with battery life up to 5 years, supporting various mounting configurations and measurement requirements.
• ISO 10816 compliance monitoring: Standard vibration monitoring with temperature tracking, providing overall machine condition assessment according to established industry standards.
• moneo RTM platform: Centralized software for visualization, alerting, and trend analysis with user-configurable dashboards and threshold management across multiple assets.
• Standard protocol integration: MQTT and OPC UA connectivity enables data export to existing systems with direct SAP PM integration through Shop Floor Integration interface.
• Advanced vibration analysis add-on: Optional license for raw vibration data recording and frequency analysis, though interpretation requires vibration expertise.

Real Customer Gaps with IFM moneo

As of October 2025, teams implementing IFM's moneo RTM platform likely discover several operational gaps in their condition monitoring deployment.

• Modular complexity without unified intelligence: IFM's ecosystem requires teams to piece together IO-Link sensors, gateways, software modules, and optional analysis licenses to build a complete solution. Each component needs a separate configuration, and the platform provides threshold-based monitoring rather than integrated AI diagnostics, leaving teams to manually interpret what combinations of sensor readings actually indicate about asset health.
• Integration-focused rather than comprehensive: While moneo connects to existing systems through MQTT and OPC UA protocols, it lacks native maintenance management capabilities. Teams get visualization and alerting, but must rely on external, non-native CMMS platforms for work orders, separate tools for oil analysis or thermography data, and additional software for reliability tools like FMEA or root cause analysis.
• Technical expertise requirements: Successful deployment demands understanding of IO-Link protocols, parameter set configuration, threshold tuning, and frequency analysis interpretation. The platform assumes internal vibration expertise or access to specialists who can translate raw data and alerts into actionable maintenance decisions, making it challenging for teams without established predictive maintenance capabilities.

Pro and Cons at a Glance

How much does IFM cost?

IFM Electronic uses quote-based pricing that varies by sensor type, quantity, and software licensing requirements. The moneo software can run on existing infrastructure or on IFM's dedicated appliance hardware. Pricing typically includes sensor hardware purchase with software licensing fees, though specific costs require engagement with IFM sales representatives for configuration and quotation.

Waites Sensor Technologies

Best for: Mid-market operations seeking basic vibration monitoring with analyst-led interpretations that prefer service-led diagnostics over autonomous AI capabilities.

Waites provides wireless condition monitoring through its SM6 vibration/temperature sensors paired with cloud software and a team of analysts who interpret data and provide maintenance recommendations. The system is deployed via adhesive or stud mounting, with data transmission facilitated through gateways to the cloud platform, where analysts review trends and generate alerts. 

Operating on a service model, Waites assigns analysts to monitor equipment 24/7 and deliver guidance when issues are detected, though this creates ongoing dependency on external interpretation rather than instant automated insights.

The platform focuses on vibration and temperature monitoring, without RPM tracking or multi-technique integration, which limits diagnostic accuracy on variable-speed equipment. While Waites positions itself as costing a fraction of competitors, no public pricing is available, and all deployments require custom quotes. 

The absence of hazardous area certifications and minimal public customer validation raises concerns for teams evaluating enterprise-scale deployments.

Key features

• SM6 wireless sensors: Basic vibration and temperature monitoring with adhesive or stud mounting, requiring cure time before operation and difficult relocation once installed.
• Analyst-led Results: Human experts review data and provide interpretations, though this creates dependency on analyst availability for all diagnostic decisions.
• Cloud monitoring platform: Web-based dashboard for viewing trends and receiving analyst-generated alerts, with mobile app limited to action items and messaging.
• API integration: Basic API for connecting sensor data to other systems, though work order creation requires an external CMMS with manual handoffs.
• Service-led deployment: Analyst setup and configuration with ongoing service interaction required for scaling or adjustments to monitoring coverage.

Real customer gaps with Waites Sensor Technologies

• Analyst dependency for every decision: Waites' entire diagnostic model revolves around human analysts reviewing data before providing guidance, creating a bottleneck where teams wait for external interpretation rather than receiving instant insights. This service dependency means diagnostic speed and quality vary based on analyst availability and workload, preventing autonomous decision-making even for routine issues that teams could handle independently.
• Limited sensing without operational context: The SM6 sensors capture only vibration and surface temperature without tracking RPM, runtime, or other operational parameters. This narrow data scope reduces diagnostic accuracy on variable-speed equipment and provides no visibility into non-vibration failure modes like lubrication degradation or electrical issues, forcing teams to maintain separate monitoring systems for comprehensive coverage.
• Permanent mounting with restricted flexibility: Sensors require epoxy or stud mounting with a cure time before operation, making them essentially permanent once installed. Teams cannot easily relocate sensors as monitoring priorities shift, test different mounting positions for optimal readings, or redeploy units when equipment is retired, limiting the system's adaptability as maintenance programs evolve.

Pro and Cons at a Glance

How much does Waites cost?

Waites requires custom quotes for all deployments after initial engagement. The subscription model includes sensors, software, and analyst services bundled together with pricing dependent on asset count and service level requirements.

Why Tractian is the Smarter Choice Compared to Augury

Augury focuses on machine health monitoring through AI algorithms and insurance guarantees. However, its model creates fundamental dependencies that limit reliability programs. Teams must integrate separate CMMS platforms for work order management, navigate opaque per-machine pricing through sales engagements, and rely entirely on automated AI without access to expert interpretation when complex cases arise.

Tractian eliminates these constraints by delivering comprehensive reliability management in a single platform. The system provides autonomous AI diagnostics across all major failure modes with plain-language prescriptive guidance, but critically maintains optional Supervised Analysis when specialist interpretation adds value. 

Native CMMS integration automatically creates prioritized, tracked work orders from sensor alerts, eliminating system friction. The comprehensive reliability and asset condition monitoring suite combines vibration, oil, thermography, and ultrasound data with FMEA and root cause analysis, which are features Augury lacks.

Transparency and proven scale provide the confidence teams need for enterprise deployment. With documented success across 1,500+ deployments and verified ROI metrics, teams can validate performance through real customer outcomes rather than insurance promises. The plug-and-play sensors install in minutes and begin delivering insights after a brief baseline period, compared to Augury's resource-intensive implementation that delays time to value.

Most critically, Tractian delivers what advanced reliability programs actually need:

• Flexible diagnostic intelligence that combines autonomous AI with optional expert support
• Unified Reliability and CMMS that turns insights into tracked work without system switching
• Multi-technique consolidation across all predictive maintenance methods in one timeline
• Transparent economics with proven scale and ROI from real deployments and sensor-pricing estimators per asset
• Operational independence that empowers internal teams rather than creating vendor dependency

While Augury locks teams into pure machine health monitoring with external dependencies for everything else, Tractian provides the complete reliability solution that scales with your program. It’s a choice between managing multiple disconnected tools with opaque costs or deploying a unified platform with proven results.

Book a demo and see what your team can achieve with truly autonomous condition monitoring.

FAQs about Augury

1. Does Augury provide optional expert analysis when AI diagnostics need specialist interpretation?No. While their algorithms are trained on extensive datasets, teams cannot request specialist review when dealing with unusual vibration spectra or ambiguous failure modes. This creates dependency on product-only conclusions even when experienced maintenance professionals identify patterns that warrant deeper investigation.
2. Does Augury offer native CMMS capabilities for work order management?No. Augury focuses exclusively on machine health monitoring and requires integration with external 3rd-party CMMS platforms for work order creation and management. This means teams must maintain separate subscriptions, manage API integrations, and handle data synchronization between systems rather than having sensor insights flow directly into maintenance workflows within a unified platform.
3. How do Tractian's condition monitoring, reliability, and CMMS solutions work together?Tractian's solutions operate as a fully integrated platform where sensor data automatically flows into both asset condition analytics and maintenance workflows. When vibration sensors detect an anomaly, the AI diagnosis triggers an alert in the reliability module, which can instantly generate a work order in the native CMMS with the fault description, recommended procedures, and required parts already populated. All predictive maintenance data from vibration, oil analysis, thermography, and ultrasound consolidates into unified asset timelines, while FMEA and RCA tools help teams understand patterns and prevent recurring failures.
4. How quickly can Tractian be deployed and operational?Tractian's plug-and-play sensors install in under 3 minutes each using magnetic or adhesive mounting, with no wiring or IT infrastructure required. Most facilities achieve full operational status within 14 days, which includes the initial machine learning baseline period where the AI learns normal operating patterns. The built-in 4G/LTE connectivity means sensors begin transmitting data immediately upon installation, and teams typically see their first actionable insights within the first week of deployment.