500+ manufacturers on AI, downtime, and what’s getting in the way.

Augury vs AssetWatch

Customers & analysts agree

Three award badges: G2 rating with 4.8 stars, Gartner Peer Insights rating with 4.7 stars, and Verdantix Green Quadrant Leader 2025 for Industrial AI Analytics Software.

 

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Why production teams choose Augury

Trusted by global manufacturers, Augury has spent 15+ years as the predictive maintenance leader, combining proprietary sensors, experts with 260+ years of combined reliability experience, and AI trained on 1.1B+ real machine hours.

Here’s the ways Augury leads the competition.

Capability
Proven ROI
Externally validated 310% ROI, and payback in 6 months or less*
Claims of 4x ROI
Diagnostics
Explainable diagnostics: every critical alert is reviewed by a CAT II/III vibration analyst before delivery, RCA in minutes
AI-generated diagnostics reviewed by Condition Monitoring Engineers as part of the monitoring service
Sensor technology
Monitors temperature, vibration, and magnetic flux (advanced diagnostics) and leverages 1.1B+ hours of Machine Health data to contextualize
Monitors temperature, vibration, and ultrasound; no magnetic flux monitoring
Agentic capabilities
An Industrial AI Workforce with role-based agents can orchestrate and synthesize data across your operations
No agentic workflows
Reporting
Enterprise and cross-site operational insight
Asset and workflow visibility only; no corporate view
Global scale
Supports multi-national programs across sites and geographies
Primarily US-based, international expansion underway but unproven
Ecosystem
Works with the partners you already trust: AVEVA, Microsoft, Google, Bain, Baker Hughes
Partners focused on maintenance integrations and services

*“The Total Economic Impact™ Of Augury Machine And Process Health” commissioned study conducted by Forrester Consulting on behalf of Augury, July 2025. Results are based on a composite organization representative of interviewed customers over three years.

What our customer say

Outcomes that speak for themselves

A middle-aged man with short gray hair and light skin, wearing a dark suit jacket, white shirt, and patterned tie, smiling slightly against a plain light background.
Now that we have data that tells us what’s going on with our equipment, we can make exact plans to make our equipment run the way it’s designed.
Adam Kilgore
Jim Hunt

In our implementations so far, we’ve had 100% accuracy in our predictions. We’ve had no misses.

Jim Hunt
Ready to see the difference?

Keep production running. On your terms.

We’re here to make sure your team has everything it needs to make that happen.