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Augury

Augury

Machine health platform using AI and vibration sensors to predict equipment failures before they occur.

Pricing
$$$
Classification
AI-Native
Type
Platform Suite

What it does

Augury is an AI-powered machine health platform that predicts equipment failures before they happen - using vibration and ultrasound sensors attached to industrial machinery to continuously monitor equipment health and detect early signs of bearing wear, imbalance, misalignment, and other failure precursors. Augury's AI models, trained on data from thousands of machines across industries, can identify specific failure modes weeks or months before catastrophic failure - giving maintenance teams time to plan and execute repairs during scheduled downtime rather than responding to unplanned breakdowns. Augury serves manufacturers, facilities teams, and utilities looking to shift from reactive or time-based maintenance to condition-based predictive maintenance.

Why AI-NATIVE

Augury is AI-native - the predictive failure detection, anomaly identification, and root cause diagnosis capabilities are built on machine learning models trained on large-scale equipment vibration data. There is no non-AI version of continuous predictive maintenance.

Best for

Mid-Market

Mid-size manufacturers and facilities teams use Augury to move critical equipment like pumps, motors, fans, and compressors from time-based to condition-based maintenance - reducing unplanned downtime and extending equipment life without over-maintaining.

Enterprise

Large manufacturers and industrial operators use Augury across hundreds or thousands of machines - with AI continuously monitoring equipment health across facilities and prioritizing maintenance resources toward assets with the highest failure probability.

Limitations

Sensor installation required on each asset

Augury requires physical vibration sensors installed on each monitored machine — hardware procurement, installation, and connectivity add upfront cost and project time before monitoring begins.

AI models improve with machine-specific data

Generic models provide immediate value, but accuracy improves as the AI learns the specific operating patterns of each individual machine — organizations should expect model improvement over the first six to twelve months.

Value concentrated in rotating equipment

Augury is most effective for rotating machinery — pumps, motors, compressors, fans. It provides less value for static assets, electrical systems, or process equipment where vibration monitoring is not informative.

Alternatives by segment

If you need…Consider instead
Broader asset management platformIBM Maximo
Fleet and equipment IoT platformSamsara
Manufacturing execution with maintenanceTulip
Pricing

Augury pricing is not publicly disclosed. Contracts are subscription-based per monitored machine per year. Hardware sensor costs are typically included in multi-year subscription contracts. Mid-market implementations covering dozens of assets typically start in the $50,000 to $150,000 range annually.

Key integrations
SAP
IBM Maximo
Rockwell Automation
Siemens
AWS
Last reviewed

2026-03-31