Augury

Augury Meaning — Definition, Machine Health & Everything You Need to Know

You may have searched "augury meaning" expecting a dictionary entry — and you'll get that here. But "augury" is also the name of one of the most talked-about industrial AI platforms on the market today. This guide covers both, clearly and completely, so you leave with a full picture.

What is augury?

The word "augury" has been around for over 2,000 years. At its core, it means reading signs to predict what will happen next. In ancient Rome, augurs were official priests whose job was to observe birds — their flight patterns, feeding behaviour, and calls — and interpret what those signs meant for the future of the empire.

Today, we still use the word in everyday speech. When someone says "this is a good augury," they mean it's a positive sign of things to come. Writers, journalists, and historians use it frequently, which is why it appears in dictionaries, literature, and — interestingly — in the name of a cutting-edge tech company.

Augury machine health monitoring software

Overview

Augury is a New York-based industrial AI company founded in 2011. Its platform helps manufacturing and industrial companies predict and prevent machine failures — before those failures cause costly downtime.

Think of it as a doctor for your factory equipment. Instead of waiting for a motor, pump, or conveyor to break down (and shut your entire production line), Augury's sensors continuously listen to your machines and flag early warning signs — sometimes weeks before anything visible goes wrong.

Who uses it

Large manufacturers across food & beverage, chemicals, pharmaceuticals, paper, and consumer goods. Notable customers include DuPont, Nestlé, and Schneider Electric. The platform is designed for reliability engineers and maintenance teams who manage critical rotating equipment at scale.

Key features

• Continuous vibration and acoustic monitoring
  Proprietary sensors attach to motors, pumps, fans, compressors, and gearboxes. They sample at high frequency 24/7, not just during scheduled inspections.

• AI-powered fault diagnosis
  Augury's machine learning models are trained on data from millions of machine operating hours. They can identify specific fault types — bearing wear, misalignment, imbalance, cavitation — not just flag "something's wrong."

• Machine Health Scores
  Every monitored asset gets a clear health score. Maintenance teams can see at a glance which machines need attention now versus which ones can wait until the next planned maintenance window.

• Human-validated diagnostics
  Unlike pure software tools, Augury backs its AI alerts with a team of certified reliability engineers who review flagged issues. This reduces false alarms significantly.

• Process Health monitoring
  Beyond machine condition, Augury also monitors production process quality — catching inefficiencies in yield, energy consumption, and waste before they become financial problems.

• Ultra Low RPM support (2025)
  The Machine Health 360° suite now covers machinery rotating as slow as 1 RPM — equipment like slow-speed mixers, paper calenders, and cooling towers that most competitors can't monitor effectively.

• CMMS and ERP integrations
  Augury connects to SAP, IBM Maximo, Infor, and other systems to auto-generate maintenance work orders when a fault is confirmed.

Pricing

Augury does not publish pricing on its website. It operates on a subscription model based on the number of monitored assets and the level of service. However, based on industry reports and user reviews, here is what buyers should expect:

Starter

~$30K–$50K

per year (est.)

• Small-to-mid site deployment

• Up to ~20–30 assets

• Basic Machine Health

• Standard support

  
  

Enterprise

$50K–$200K+

per year (est.)

• Multi-site, unlimited assets

• Machine + Process Health

• CMMS/ERP integration

• Dedicated reliability experts

Free trial

Available

Pilot programmes offered

1. POC deployments available

2. Site assessment included

Typically 60–90 day.

Pros and cons

No platform is perfect. Here is a balanced view based on customer reviews, analyst reports, and comparison studies:

Pros

• Industry-leading AI accuracy (99%+ claimed on rotating assets)

• Human expert validation reduces false alarms

• Largest machine data library in the industry

• Strong ROI track record (DuPont: 7x in under 1 year)

• Easy to use — no vibration analysis expertise needed

• Covers ultra-low RPM machines (1 RPM+)

  
  

Cons

• Proprietary sensors required — no third-party sensor support

• Short wireless range (50 ft) — needs more gateways vs competitors

• Mobile app limited to installation only

• Enterprise pricing — expensive for small operations

• Primarily vibration-based — weaker on non-rotating assets

• Requires internet connectivity; no offline mode

Best for

Plant size

Mid to large facilities with 20+ critical rotating assets

Industry

Food & beverage, chemicals, pharma, paper, consumer goods

Team type

Reliability engineers wanting expert-backed AI diagnostics

Use case

Eliminating unplanned downtime on motors, pumps, fans, compressors

Not ideal for

Small shops, non-rotating equipment focus, or tight budgets

Augury CMMS integration — SAP and IBM Maximo

One of Augury's biggest practical strengths is how it connects to existing enterprise systems.

When the AI detects a machine fault, it doesn't just send an email alert — it can automatically create a maintenance work order inside your CMMS or ERP, assign it to the right team, and attach the full diagnostic report.

Supported Integrations

Augury can easily connect with many common maintenance and asset management systems, including:

• SAP PM / SAP S/4HANA – for maintenance planning and asset tracking

• IBM Maximo – for enterprise asset management

• Infor EAM – for managing equipment and maintenance operations

• Oracle EAM – for asset lifecycle management

• UpKeep – for mobile maintenance management

• Fiix CMMS – for maintenance scheduling and tracking

• Limble CMMS – for work order and maintenance management

• ServiceMax – for field service and equipment maintenance

• REST API – for custom software integrations

• OPC-UA – for connecting directly with industrial machines and sensors

These integrations make it easy to bring Augury’s predictive maintenance insights into the tools maintenance teams already use every day.

How the SAP integration works

1. 1 Augury detects a bearing fault on a pump motor and assigns a severity level.

2. 2 The alert is validated by Augury's reliability engineers (or auto-approved for high-confidence cases).

3. 3 A work order is automatically created in SAP PM with the fault description, recommended action, and time-to-failure estimate.

4 Maintenance planners see the work order in SAP — no need to log in to a separate system.

Deployment

Deployment model

Cloud-native SaaS (Augury-hosted). No on-prem option.

Connectivity

Requires Wi-Fi or Ethernet at sensor gateway level. No cellular option (currently).

Sensor installation

Professional installation by Augury team. Takes 1–3 days for typical mid-size site.

Brownfield readiness

Designed for existing facilities. No production shutdown required for installation.

Edge processing

Partial — gateways pre-process raw sensor data before cloud transmission.

Time to value

4–6 weeks from installation to first actionable insights (per customer reports).

Augury vs Tractian

Tractian is the most direct competitor to Augury right now and the comparison is all over manufacturing trade publications. Both platforms use vibration sensors and AI to predict rotating equipment failure — but they differ in meaningful ways.

Which one should you pick?

If you are a large enterprise with complex assets across multiple sites and you want expert-validated diagnostics with the deepest AI training data available — Augury is likely the better choice.

If you need faster deployment, better mobile access, and a wider wireless range at a lower entry cost — Tractian is worth a serious look.

Alternatives to Augury

Tractian

Best direct alternative. Stronger mobile app, longer wireless range, more accessible pricing.

Siemens Senseye

Another leading predictive maintenance platform used by large manufacturers. It focuses on AI-driven machine health monitoring and enterprise-scale analytics, making it a common option for organisations evaluating industrial reliability software alongside Augury. Ideal for mid-market manufacturers.

Factory AI focuses on using artificial intelligence to improve factory operations, equipment reliability, and maintenance decision-making. Manufacturers exploring modern AI-powered maintenance platforms often evaluate Factory AI alongside Augury and other predictive maintenance solutions.

SparkCognition (SparkPredict)

Industrial AI built for high-stakes assets — wind turbines, oil rigs, power plants. Uses SCADA data, not additional sensors. Strong prescriptive analytics.

Aspentech APM

Asset performance management with deep process integration. Wider asset coverage beyond rotating equipment. Complex to implement.

Enterprise

Fiix (by Rockwell Automation)

Cloud-based CMMS with growing predictive features. Better fit if you primarily need maintenance workflow management, not deep machine diagnostics.

Mid-market

IBM Maximo Application Suite

Combines CMMS, EAM, and predictive analytics. Broad asset coverage and deep ERP integration. Significant implementation effort required.

Enterprise

FAQ

What does "augury" mean in simple terms?

Augury means reading signs or omens to predict what will happen next. It comes from ancient Rome, where special priests called augurs watched birds to forecast the outcome of battles and political events.

Today, the word also refers to a sign or indication of what's to come — for example, "a good augury for the future."

Is Augury the software cloud-based?

Yes. Augury is a fully cloud-hosted SaaS platform. Data collected by sensors is transmitted to Augury's cloud for processing and analysis. There is no on-premises deployment option. You will need Wi-Fi or Ethernet at the plant level for sensor connectivity.

How accurate is Augury's predictive maintenance?

Augury claims accuracy rates exceeding 99.9% on fault detection for rotating equipment. This figure is supported by real-world deployments — for example, DuPont reported zero missed predictions in their initial implementation.

The combination of AI trained on a massive proprietary dataset and human expert validation keeps false alarm rates low.

Augury vs Tractian — which is better?

It depends on your needs. Augury is better for large enterprises that need expert-backed diagnostics, ultra-low RPM coverage, and deep integration with SAP or Maximo.

Tractian is better for teams that want a strong mobile app, longer sensor range, faster self-serve deployment, and more accessible pricing. Both are solid platforms — the right choice depends on plant size, budget, and technical requirements.

Does Augury integrate with SAP?

Yes. Augury has a native integration with SAP Plant Maintenance (SAP PM) and SAP S/4HANA. When a machine fault is confirmed, Augury can automatically generate a maintenance work order in SAP — with fault details, recommended actions, and time-to-failure estimates pre-filled. This eliminates manual data entry and speeds up the maintenance response cycle.

What is the synonym for augury?

Common synonyms include: omen, portent, harbinger, presage, sign, auspice, and foreboding. "Auspice" is the closest in historical meaning — it also derives from Roman augury practice. In modern English, "omen" is the most commonly used everyday equivalent.