
Industrial AI for machine health and predictive maintenance
By Tanmay Verma, Founder · Last verified 19 Jun 2026
In short
Augury — Industrial AI for machine health and predictive maintenance. Best for Manufacturing plants with large fleets of rotating equipment seeking to reduce unplanned downtime, Reliability teams wanting AI-driven root cause analysis and ranked alerts, Food & beverage, chemicals, metals & mining industries needing predictive maintenance at scale. Contact Sales pricing.
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Augury delivers proven machine health AI with deep industrial validation. If you need predictive maintenance with actual outcomes—not just dashboards—this is a strong choice. But if you don't have sensors or connected machines, the onboarding requires hardware investment.
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Last verified: June 2026
Augury stands out for its focus on outcomes over outputs. With 1.1B+ hours of machine data and CAT III/IV vibration analysts on support, it's built for serious manufacturing environments. The AI agents provide root cause analysis and ranked alerts, reducing alert fatigue. However, it's not a plug-and-play SaaS—it requires sensor deployment and integration with existing systems, which may take weeks. For teams already using generic condition monitoring tools, Augury's contextual intelligence is a clear upgrade. But for small shops with limited budget or no IoT infrastructure, the total cost (hardware + subscription) might be prohibitive. The platform's strength lies in scaling across large plants with rotating equipment, where false positives are costly. Its reliance on vibration analysis means it's less effective for non-rotating assets or extremely slow-moving machinery.
Skip Augury if Skip Augury if you operate fewer than 10 assets, have no sensor infrastructure, or need a self-serve software-only solution with transparent pricing.
How likely is Augury to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: June 2026
How we score →Augury is an industrial AI platform that combines machine and operational data to give manufacturing teams predictive insights, reduce downtime, and optimize productivity. Built for plant managers, reliability engineers, and maintenance teams, Augury uses AI agents to monitor equipment health, prioritize alerts, and suggest corrective actions. The platform processes over 1.1 billion hours of real machine readings to deliver context-aware alerts, root cause analysis, and automated workflows. Unlike generic AI chats, Augury's agents are trained on industrial data and validated across thousands of machines, providing actionable outcomes rather than raw outputs. It serves industries like food & beverage, chemicals, metals & mining, and more, helping teams shift from firefighting to proactive planning.
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Concrete scenarios for the personas Augury actually fits — and what changes day-one when you adopt it.
You walk into the plant and check the operational intelligence dashboard. Augury has already ranked alerts by urgency, showing a pump with a 2-month predicted failure. You review the root cause and recommended corrective action, then assign the work order via the MaintainX integration directly from the dashboard.
Outcome: You prevent the failure before it happens, avoiding unplanned downtime and scheduling maintenance during a planned shutdown.
You receive a notification on your mobile app (Auguscope) about a motor bearing that shows early-stage wear. The alert includes vibration data, severity score, and a recommended action: replace the bearing. The system automatically creates a work order in your CMMS.
Outcome: You replace the bearing during a scheduled window, extending motor life and avoiding emergency repair costs.
You use Augury's operational intelligence to correlate machine health data with production throughput. You notice a compressor's efficiency dip correlates with yield losses on a specific line. The AI agent suggests a maintenance intervention and provides before-and-after expected output.
Outcome: You schedule the intervention, recover yield, and document the improvement for future planning.
Pricing is not publicly disclosed — requires a sales conversation. Physical sensor installation is a prerequisite for machine health data. AI model accuracy depends on sufficient historical data and asset baseline; custom setup may take weeks. API documentation is not publicly available without an account. The platform is not designed for small workshops or non-industrial use cases.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Augury tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Enterprise
Custom
Ideal for
Large manufacturing plants with hundreds of rotating assets looking for end-to-end predictive maintenance with dedicated expert support
What this tier adds
Includes custom proof-of-concept, payback guarantee, and dedicated reliability expert support; pricing is per-machine per-year.
The company stage and team size where Augury's pricing actually pencils out — and where peers do it cheaper.
Augury's pricing is contact-based and per-machine per-year, making it best suited for large enterprises with many rotating assets. For smaller operations with fewer than 50 machines, competitors like Uptake or Fluke may offer simpler entry points with public pricing. The 'Diagnostics as a Service' model includes sensors, software, installation, support, and diagnostics, which can be cost-effective at scale but unclear for smaller deployments.
How long it actually takes to get something useful out of Augury — broken out by persona, not the marketing-page minute.
For a standard deployment with 50 machines, initial sensor installation and baseline setup typically takes 2-4 weeks with white-glove installation. Self-serve deployment may take longer. Full value with predictive alerts begins after baseline data collection (2-4 weeks). Training via Augury Academy is available immediately, and support from CAT III/IV analysts is included from day one.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
Visit our collection of resources to learn more about industrial AI and how Augury's solutions help you achieve your manufacturing goals.
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Visit our collection of resources to learn more about industrial AI and how Augury's solutions help you achieve your manufacturing goals.
Visit our collection of resources to learn more about industrial AI and how Augury's solutions help you achieve your manufacturing goals.
Visit our collection of resources to learn more about industrial AI and how Augury's solutions help you achieve your manufacturing goals.
Visit our collection of resources to learn more about industrial AI and how Augury's solutions help you achieve your manufacturing goals.
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