
Augury
Machine health platform using AI and vibration sensors to predict equipment failures before they occur.
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-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.
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
Augury requires physical vibration sensors installed on each monitored machine — hardware procurement, installation, and connectivity add upfront cost and project time before monitoring begins.
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.
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 platform | IBM Maximo |
| Fleet and equipment IoT platform | Samsara |
| Manufacturing execution with maintenance | Tulip |
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.
2026-03-31





