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Augury

Emerging#13 in Manufacturing & Industry

New York industrial AI with machine health monitoring sensors on rotating equipment for predictive maintenance; $237M raised at $1B valuation serving Colgate and Hershey competing with SKF Enlight for manufacturing uptime.

Best for: AI/Predictive MaintenanceEmerging, rapid growth
42
AI Score
Grade C
AI Visibility Score (Beta)
Manufacturing & IndustryAI/Predictive MaintenanceWebsiteUpdated October 2026

Brand Intelligence Graph

Capabilities
AI/Predictive Maintenance

Company Overview

About Augury

Augury is a New York-based industrial AI company providing machine health monitoring and predictive maintenance for manufacturing facilities — deploying vibration, ultrasonic, and temperature sensors on rotating equipment (motors, pumps, compressors, fans, gearboxes) and using machine learning models trained on the largest industrial machine health dataset to predict failures weeks before they cause unplanned downtime. Founded in 2011 by Saar Yoskovitz and Gal Shaul and backed with $237 million raised from Insight Partners, Qualcomm Ventures, and others at a $1 billion valuation, Augury serves 100+ global manufacturers including Colgate-Palmolive, Hershey, and Johnson Controls.

Business Model & Competitive Advantage

Augury's continuous monitoring model installs permanently mounted sensors on critical equipment — unlike periodic manual vibration readings by maintenance technicians that capture machine health only at the measurement moment, Augury's sensors stream data 24/7 to Augury's cloud analytics platform. The machine health cloud processes vibration spectral data, comparing each machine's signature against normal baseline and detecting deviations that indicate bearing wear, imbalance, misalignment, and lubrication failures before they become catastrophic. Augury's "Machine Health as a Service" (MHaaS) model provides installation, sensor hardware, software analytics, and a 24/7 expert diagnostician service — delivering actionable maintenance work orders rather than raw sensor data that requires in-house vibration analysis expertise.

Competitive Landscape 2025–2026

In 2025, Augury competes in the industrial predictive maintenance market with SKF Enlight (Swedish bearing manufacturer's IoT monitoring), Emerson AMS Device Manager, and Samsara (NYSE: IOT, fleet and equipment telematics) for manufacturing asset health monitoring. The industrial AI market has matured from pilot programs to production deployments — Augury's customer base includes food and beverage, consumer packaged goods, and industrial manufacturers running continuous production where unplanned downtime costs $5,000-$250,000 per hour. Augury's Process Health product extension (2023) monitors process parameters like flow, temperature, and pressure to correlate machine health with process performance — expanding Augury's value from maintenance cost reduction to production optimization.

Founded
2011
Curated content • Fact-checked and verified

Recent Activity

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Asset Condition Monitoring: Analysis and Management

Key highlights: What is asset condition monitoring and how does it work in manufacturing? Asset condition monitoring is the ongoing collection and analysis of equipment health data. It helps your team find developing faults and act before they become failures. ISO 17359 is the international guideline for setting up condition monitoring programs. It lists parameters... The post Asset Condition Monitoring: Analysis and Management appeared first on Augury .

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Knowledge Doesn’t Have to Retire

“Please clone Bill.” That’s what a customer told me during a meeting earlier this year, referring to their senior process engineer. It was partly a joke, but there was real truth in it. Bill is 66. He’s ready to retire. He knows the plant better than anyone alive, and without him, nobody else could tell... The post Knowledge Doesn’t Have to Retire appeared first on Augury .

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Predictive maintenance software: A buyer’s guide

Key highlights: What is predictive maintenance software for manufacturing? Predictive maintenance software for manufacturing continuously monitors equipment condition and flags developing faults before they cause a breakdown. Sensors mounted on critical assets stream vibration, temperature, and other condition data into AI models. These models are trained to recognize the early signatures of specific failure modes,... The post Predictive maintenance software: A buyer’s guide appeared first on Augury .

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People First, Everywhere: A Conversation With Dana Teplitsky

You’re new to manufacturing. What made you say yes to Augury? A few things came together. First, I wanted to join a global company that was expanding its footprint, because that’s work I’ve done before and love doing. Augury’s roots in Israel were part of the draw, too. I admire the pace, intellect, and resilience... The post People First, Everywhere: A Conversation With Dana Teplitsky appeared first on Augury .

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Machine Learning in Manufacturing: Use Cases, Applications, and Adopting Agentic AI

It’s a perpetual goal in manufacturing: produce more, higher-quality products at minimum cost.  Machine learning (ML) is the technology that makes this goal achievable at scale. It’s also what helps manufacturers extend the life of their assets, improve yield while reducing waste, and lower maintenance costs.  This article covers how ML works in manufacturing, the... The post Machine Learning in Manufacturing: Use Cases, Applications, and Adopting Agentic AI appeared first on Augury .

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The Benefits of Predictive Maintenance: Uptime, ROI, and Data-Backed Results

With the right predictive maintenance solution, manufacturing teams can transform maintenance from a reactive and panicky “fire-fighting” workflow into a strategy that directly impacts operational efficiency and bottom-line performance.  Predictive maintenance empowers teams to make the right decisions based on real-time equipment conditions, making it a major advancement from traditional reactive maintenance (where things are... The post The Benefits of Predictive Maintenance: Uptime, ROI, and Data-Backed Results appeared first on Augury .

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Overall Line Efficiency (OLE): Formula, Calculation, and How It Compares to OEE

Overall Equipment Effectiveness (OEE) is a widely accepted and utilized manufacturing evaluation method. While still an essential metric for manufacturers, Overall Equipment Effectiveness (OEE) is limited in its ability to give your manufacturing teams the “big picture.”  To respond to this need for a better-suited metric, a technique known as Overall Line Efficiency (OLE) is... The post Overall Line Efficiency (OLE): Formula, Calculation, and How It Compares to OEE appeared first on Augury .

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“Knowledge is the new gold”: Ronen Salomon on the OKF Industrial Profile

You lead hardware and ecosystem work at Augury. How did you end up building a knowledge format? I’ve been at Augury for seven years, building sensors and systems. In that time, we built sensors, gateways, the lab, test guidelines, and the team around all of it. There was no cookbook for any of that. We... The post “Knowledge is the new gold”: Ronen Salomon on the OKF Industrial Profile appeared first on Augury .

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Using Manufacturing AI Agents for Real-Time Process Optimization

Plant floors are more tech-enabled than ever before. The problem is that highly skilled production and process Subject Matter Experts (SMEs) are still stuck being the “glue” between the different data systems running within your operations. Manually combining data from your historian, MES, ERP, and CMMS systems is time-consuming, ineffective, and a waste of your... The post Using Manufacturing AI Agents for Real-Time Process Optimization appeared first on Augury .

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Role-Based AI Agents for Manufacturing: Accelerating Operational Performance

Growing challenges in manufacturing You are already dealing with tighter staffing, rising downtime risk, and growing pressure to hit plan with fewer resources. As experienced technicians retire and take decades of their operational expertise with them, your operation faces even greater risk. The 2026 State of Production Health, which surveyed more than 500 manufacturing leaders,... The post Role-Based AI Agents for Manufacturing: Accelerating Operational Performance appeared first on Augury .

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Machine Downtime Tracking and Analysis: Techniques and Best Practices

What is machine downtime tracking and analysis? Machine downtime tracking and analysis is the process of recording when equipment stops, how long each stoppage lasts, and why it occurred, then analyzing that data to identify the issues causing the greatest production losses. Tracking downtime in production and analyzing it are two different jobs, and you... The post Machine Downtime Tracking and Analysis: Techniques and Best Practices appeared first on Augury .

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The 7 Best Machine Health Monitoring Systems in 2026

Top machine health monitoring systems Category Best for Key features Augury AI diagnostics with expert validation Reliability leaders standardizing machine health across multiple sites Triaxial vibration, temperature, and magnetic flux in one sensor AI diagnostics supported by CAT III and IV vibration analysts Prescriptive fault calls with severity and recommended action Role-based AI agents that... The post The 7 Best Machine Health Monitoring Systems in 2026 appeared first on Augury .

Key Differentiators

Emerging Innovator

Augury is an emerging player bringing innovative solutions to the Manufacturing market.

Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

42
→ Stable

Based on estimated brand signals. Historical tracking coming soon.

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