- Core
- 33%
- Required
- 67%
- Context
- 0%
- Nice
- 0%
Augury
About Augury
Augury combines IoT sensors with AI diagnostics for machine health and process health, predicting industrial equipment failures before they happen. Founded in Haifa.
People & hiring
Company scale, with the denominator visible
Employee figures and vacancy signals describe different things. Each chart names its scope and observation period.
ApplyDjinn hiring evidence · current 30-day window
Explore these jobs →Current open roles
Change versus 2026-10-07.
Technical open roles
Classified from the same current vacancies. This is a hiring mix, not the employee mix.
Live vacancy evidence
Technology coverage at Augury
Coverage always uses all 3 active roles as the denominator. Scope only changes which requirement signals count.
- Active roles
- 3
- Technologies
- 7
- Hard mentions
- 9
- Core
- 50%
- Required
- 0%
- Context
- 50%
- Nice
- 0%
- Core
- 0%
- Required
- 33%
- Context
- 67%
- Nice
- 0%
- Core
- 0%
- Required
- 50%
- Context
- 50%
- Nice
- 0%
- Core
- 0%
- Required
- 100%
- Context
- 0%
- Nice
- 0%
- Core
- 0%
- Required
- 100%
- Context
- 0%
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- Core
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- Required
- 100%
- Context
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- 0%
Curated company stack
Company-level metadata, kept separate from live vacancy requirements.
Perks & Benefits
Company Details
Industry
Industrial AI / IoT
Company size
500-1000
Headquarters
New York, USA / Haifa, Israel
Founded
2011
Domain
augury.com
Rating
—
Open roles
3
Technical roles
1 of 3
Observed hiring change
-1 roles
Hiring and market history
Daily vacancy snapshots show this company’s observed hiring; no standalone public ticker is assigned.
Vacancy history
Current role mix
1 technical · 2 other
33% of currently observed roles are technical.
Employee perspectives
Reviews of Augury
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Company monitor
Published about Augury
Official updates and independent stories that name Augury, with dates and source attribution. Each preview opens here first.
Root Cause Analysis in Manufacturing: A Guide
Key highlights: What is root cause analysis in manufacturing? Root cause analysis in manufacturing is a structured investigation that traces an equipment failure, quality defect, or process upset to its underlying cause. Then the team puts a fix in place to keep the failure from recurring. The symptom is the evidence: a failed bearing, an... The post Root Ca
Open story →How to Minimize Downtime Costs
Key highlights: What are downtime costs? Downtime costs are the total financial impact of any period when equipment scheduled to run isn’t producing, including lost output, recovery costs, and effects on schedules and customers. Downtime cost type What it includes Where to find the number Lost production Output lost during the stoppage and while the... The p
Open story →Agentic AI in Manufacturing: Applications and Benefits
AI agents are one of the next big steps for artificial intelligence (AI) in industrial manufacturing. Specialized AI agents can understand your specific process context, reason through complex multistep challenges, and perform independent actions across systems so your teams can move faster (and more accurately) than ever. In this article, you’ll learn how a
Open story →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 par
Open story →Knowledge Doesn’t Have to Retire
A customer’s senior process engineer, let’s call him “Bill,” is 66 and ready to retire. He knows the plant better than anyone alive, and without him, nobody else could tell you why one fix works and another doesn’t. “I wish we could capture everything in his head,” the customer told me. There was real truth... The po
Open story →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
Open story →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,
Open story →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 ma
Open story →