Augury is an industrial AI platform that monitors the health of manufacturing equipment in real time using IoT sensors and machine learning, detecting early signs of mechanical failure before they result in unplanned downtime or production loss. It combines hardware sensor deployment with a cloud-based AI platform that continuously analyzes vibration, temperature, and other machine data to predict failures, recommend maintenance actions, and track equipment health over time. Augury targets mid-market and enterprise manufacturers across process and discrete industries, with notable customers including Colgate-Palmolive, Heineken, and Pfizer. It differentiates through the combination of its proprietary AI models — trained on a large dataset of machine health signals across many industrial environments — and its managed sensor deployment, which reduces the implementation burden on operations teams.
Augury
Predictive machine health monitoring to prevent industrial downtime.
Compliance
ISO 27001 SOC 2
Key Features
- Continuous machine health monitoring: Deploys IoT sensors on manufacturing equipment that stream real-time data to the platform, providing constant visibility into machine condition rather than relying on periodic manual inspections.
- Predictive failure detection: Uses proprietary AI models to identify patterns in sensor data that precede equipment failures, alerting maintenance teams to take action before a breakdown occurs.
- Maintenance recommendations: Provides specific guidance on what maintenance action is required and when, giving maintenance teams actionable information rather than just an alert that something may be wrong.
- Production health analytics: Tracks machine performance trends over time, enabling operations and reliability teams to understand equipment aging, optimize maintenance schedules, and make informed capital investment decisions.
- Cross-machine learning: AI models trained across Augury’s customer base benefit from exposure to failure patterns across a wide range of equipment types and industrial environments, improving prediction accuracy over a single-site deployment.
- On-premise IoT integration: Combines cloud-based analytics with physical sensor hardware deployed on-site, covering the full stack from data capture to insight rather than requiring customers to source and integrate sensors separately.
Use Cases
- For manufacturers reducing unplanned downtime: A consumer goods manufacturer running continuous production lines deploys Augury sensors on critical equipment to detect developing failures weeks in advance, scheduling maintenance during planned stoppages rather than scrambling during an unplanned shutdown.
- For operations teams optimizing maintenance spend: A manufacturing organization moving from time-based to condition-based maintenance uses Augury to prioritize maintenance activity based on actual machine health, reducing both unnecessary preventive work and costly reactive repairs.
- For multi-site industrial companies standardizing reliability programs: A large manufacturer operating across multiple facilities uses Augury to bring consistent machine health monitoring and predictive maintenance capability to all sites, with centralized visibility into equipment health across the portfolio.
Pricing MODELS
Enterprise
Pricing Summary
Augury uses a custom enterprise pricing model based on the number of machines being monitored. No self-serve or publicly listed prices are available — organizations contact the company for a quote based on their fleet size and facility configuration.
Company Size Fit
Enterprise Mid-market
Technical Snapshot
API Available
Yes
LLM Provider
Proprietary
Open Source
No
Deployment Options
Cloud Saas, On-premise
Notable Customers
Colgate-Palmolive, Heineken, Pfizer