Augury
Machine health AI platform combining vibration, ultrasonic, and electrical sensing with deep learning to predict failures on rotating equipment.
Overview
Augury: Machine Health AI for Rotating Equipment
Augury is Machine health AI for pumps, motors, fans, and compressors. Augury combined three things competitors don't: their own sensor hardware, deep learning trained on millions of machine-hours, and a service layer that turns alerts into actionable work orders. That stack is the moat.
Key Features
- Machine health AI for pumps, motors, fans, and compressors
- Combines vibration, ultrasonic, and magnetic sensing with ML
- Customers include Colgate-Palmolive, Roche, Heineken
- Joint venture with Grundfos for embedded pump intelligence
- Series F backed by Insight Partners, Eclipse, and Qumra
Ideal Use Case
Reliability and maintenance teams responsible for rotating equipment — pumps, fans, motors — who want machine-health insight without lab-grade vibration analysts on staff.
Why Use Augury
Augury combined three things competitors don't: their own sensor hardware, deep learning trained on millions of machine-hours, and a service layer that turns alerts into actionable work orders. That stack is the moat.
FAQ
What does Augury do? Augury is a machine health AI platform that uses vibration, ultrasonic, and electrical sensing combined with deep learning to predict failures on rotating equipment before they happen. This helps prevent costly downtime and maintenance emergencies.
Who should use Augury? Augury is built for engineering teams and operations managers responsible for maintaining rotating machinery in manufacturing, industrial, and facility environments who want to shift from reactive repairs to predictive maintenance.
What is Augury's pricing model? Augury operates on a freemium model, allowing you to explore the platform's core capabilities at no cost. Visit the Augury pricing page for current plans and to inquire about paid tiers that unlock advanced features.
How does Augury compare to similar tools? While alternatives like Applied Intuition, Boston Dynamics, and Fictiv serve adjacent industrial and engineering niches, Augury uniquely specializes in AI-powered machine health monitoring and predictive failure detection for rotating equipment specifically.
tl;dr
Machine health AI. Vibration, ultrasonic, electrical sensing for rotating equipment.
More Details
- Multi-modal sensors combining vibration, ultrasonic, and magnetic sensing
- Deep learning trained on millions of machine-hours across industries
- Joint venture with Grundfos for embedded pump intelligence
Additional FAQ
Q: Sample customers? A: Colgate-Palmolive, Roche, Heineken, Smurfit Kappa.
Q: Sensor cost? A: Sensors are bundled with subscription — no separate hardware cost.
Related
Looking for more options? Browse the Engineering & Simulation directory or read our best AI engineering tools listicle. Augury is also tracked on Crunchbase.
Why Use Augury
Editorial Review
Our take on Augury.
Specialized predictive maintenance for rotating equipment; strong signal from community but narrow use case limits broad appeal.
What works
- Multi-sensor fusion (vibration, ultrasonic, electrical) captures diverse failure modes
- Strong community rating (4.93) from actual users suggests real operational value
- Freemium entry point lowers barrier for testing on live equipment
What doesn't
- Narrow addressable market; only relevant for industrial rotating equipment operators
- Low likes relative to community rating suggests limited awareness outside niche
Augury combines vibration, ultrasound, and electrical sensing with deep learning to catch failures before they happen on motors, pumps, compressors, and similar rotating equipment. The sensor fusion approach is sensible—different failure modes show up in different domains, and you need all three to get confident predictions. The 4.93 community rating is genuinely solid and suggests real users are seeing value.
The catch is applicability. This isn't a tool you reach for unless you're running industrial equipment at scale—factories, plants, utilities, that kind of thing. If your spinning equipment downtime costs money (and it does), predictive maintenance pays for itself fast. But if you're not in that world, Augury isn't for you. The freemium model suggests a reasonable entry point, though the actual cost structure requires a conversation with their team.
The comparison to Boston Dynamics and Fictiv is a bit odd—those are very different beasts—which hints the alternatives list may not be perfectly calibrated. Real competitors would be traditional condition monitoring platforms or internal monitoring systems. Augury's edge is the AI layer automating the detective work rather than dumping sensor data on you to interpret manually.
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