Machine Failures Are Predictable. Treat Them That Way.
Take control of your industrial machines. Augury’s Reliability Expert solutions provide the prescriptive insights you need to keep your production lines running.
The Augury difference: Machines talk, we listen™
Blind spots are where failures hide. Augury’s Reliability Expert eliminates them.
With continuous coverage across 200+ asset types of all criticalities, your teams get the visibility, diagnostics, and expert support they need to catch failures early and act. And because Augury unifies asset health data, AI diagnostics, and expert services in a single platform, you get results from day one that scale across your entire operation.
Complete coverage

Accurate AI insights

Built for teams

Expert services

Scalable infrastructure
Augury’s standardized deployment and repeatable playbook deliver consistent results.

Complete coverage for your assets
AI predictive maintenance. Real results.
Save time and money while reducing operational risk. Here’s what you’ll see with Augury’s Reliability Expert solutions.

Maintenance planning that works on your schedule
Extend asset life cycles and strategically plan your work and resources
Increasing output from your current machines
Improve availability and output from the machines you already have
Validated by industrial customers
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AI for predictive maintenance detects equipment problems before they cause failures. Augury’s Machine Health solutions do exactly that, using Internet of Things (IoT) sensors that capture vibration, temperature, and magnetic data to provide real-time visibility into the condition, performance, and reliability of your industrial equipment.
Traditional monitoring systems trigger alerts when a single value crosses a fixed threshold. That approach catches acute events but misses the gradual, multi-variable degradation patterns that precede most industrial failures. AI-based diagnostics recognize those patterns across hundreds of variables simultaneously, identifying developing faults weeks before a threshold alarm would fire.
By applying artificial intelligence and advanced analytics to collected data, Machine Health proactively detects anomalies and faults before failures occur, allowing your teams to see, understand, and fix problems before they escalate. By knowing exactly when and where maintenance is needed, you can prevent downtime and keep production running.
Watch the Machine Health video to learn more.
By applying artificial intelligence (AI) and advanced analytics to collected data, machine health proactively detects anomalies and faults before failures occur, allowing your teams to see, understand, and fix problems before they escalate. By knowing exactly when and where maintenance is needed, you can prevent downtime and keep production running.
Watch our complete video below to learn more:What’s Machine Health? | Predictive Maintenance for the Manufacturing Industry
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Real-world examples of AI for predictive maintenance strategies include accurately predicting potential equipment faults, scheduling repairs before production is disrupted, and helping teams direct maintenance resources to the machines that need attention most. Across industries, manufacturers use these insights to improve equipment reliability, production planning, and operational performance.
Here are some benefits across industries:
- Food and Beverage: Production uptime during peak seasons, food safety compliance, and waste reduction through improved process stability.
- Chemicals: Process safety in hazardous environments, yield optimization, and emissions reduction
- Pulp and Paper: Web break prevention on high-speed lines, energy efficiency, and quality consistency across global sites.
- Pharmaceuticals: Batch integrity, stringent quality control, and downtime avoidance for critical packaging and production equipment.
- Building Materials and Cement: Operational stability for heavy assets like kilns and crushers, asset life extension, and productivity gains.
- Mining and Metals: Equipment availability in extreme conditions, cost optimization, and throughput increases
- Consumer Packaged Goods: Line reliability across high-volume operations, consistent product quality, and reduced losses from unplanned disruptions.
- Oil and Gas: Asset reliability in hazardous and high-stakes environments, unplanned shutdown prevention, and maintenance cost reduction across complex mid and downstream operations.
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Yes. Machine Health solutions are built to fit into your operation without adding friction. The platform integrates with leading Computerized Maintenance Management System (CMMS) and Enterprise Asset Management (EAM) systems, including SAP PM, IBM Maximo, and Infor EAM, automatically triggering work orders complete with diagnostics and repair guidance so insights flow directly into your existing maintenance workflows.
Beyond CMMS, Augury connects with cloud and industrial data platforms, historians, and Supervisory Control and Data Acquisition (SCADA) systems via industry-standard protocols, surfacing machine data where your operators already work. And for environments with specific requirements, our open, partner-friendly platform supports custom integrations through public APIs or certified system integrator partners.
View our complete list of partners and integrations.
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The ROI of AI predictive maintenance is driven by operational improvements such as:
- Fewer emergency callouts, which carry premium labor and expedited parts costs
- Shorter troubleshooting cycles as teams arrive with diagnosed faults, not symptoms
- Less unnecessary scheduled downtime
Over time, catching degradation early also extends asset life cycles, shifts capital expenditure timelines, and reduces replacement frequency.
According to a Forrester Total Economic Impact™ study, a composite organization based on Augury’s Machine Health customers typically sees payback in under six months, driven by early reductions in unplanned downtime and more efficient maintenance planning. Over three years, Forrester calculated 310% ROI and $20.1M net present value, after risk adjustment.
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AI-based predictive maintenance reduces unplanned downtime by continuously monitoring equipment condition, identifying developing faults early, and giving teams time to schedule the right maintenance before an issue disrupts production. Earlier, more precise insights can reduce emergency repairs, shorten troubleshooting time, and help maintenance teams coordinate work around production schedules.
Augury’s Machine Health solutions provide advanced anomaly detection and help diagnose specific faults. Expert validation and prescriptive guidance help teams understand:
- What is happening
- How serious is it
- What action to take?
Unlike preventive maintenance, which services equipment on a fixed schedule regardless of actual condition, AI-driven predictive maintenance intervenes only when data indicate intervention is needed. That means fewer planned outages for unnecessary work and fewer surprises from failures that develop between service windows.
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AI predictive maintenance is less difficult to implement than you might expect. Machine Health solutions are designed for fast deployment and low disruption. Wireless sensors are installed directly on your equipment, and the platform connects to your existing systems from day one.
Most teams see their first machine improvement within 30 days. And because Augury’s expert support team guides you through deployment and beyond, with vibration analysts, reliability engineers, and support across 40+ countries and 10+ languages, so you’re not figuring it out alone.
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Manufacturers should look for a platform that provides continuous machine health monitoring, specific fault diagnostics, and clear guidance that your team can act on. It should:
- Cover the equipment types and operating environments across your facility
- Integrate with existing CMMS, Enterprise Resource Planning (ERP), and maintenance workflows
- Scale across assets, production lines, and sites
You should also evaluate how diagnostics are validated, how quickly the platform can deliver value, and what support is available to drive adoption. Augury combines Industrial AI diagnostics with expert validation, broad asset coverage, integrated workflows, and documented ROI to help teams move from machine data to confident maintenance action.
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Most solutions give you data. Augury’s Machine Health gives you answers and the support to act on them. From deployment through daily use, Augury’s reliability experts, vibration analysts, and delivery team are available to support your teams, so you’re never navigating the technology alone.
That combination of AI accuracy and human expertise in the loop is what makes Machine Health prescriptive rather than just predictive. Your teams get guidance they can trust and defend, backed by 1.1 billion hours of machine data and 260+ combined years of reliability expertise across 40+ countries.
See why manufacturers choose Augury.
*The Total Economic Impact™ Of Augury Machine And Process Health” commissioned study conducted by Forrester Consulting on behalf of Augury, July 2025. Results are based on a composite organization representative of interviewed customers over three years.




