Industrial AI for machine health and manufacturing production insights
Augury sells industrial AI that turns machine sensor data into maintenance and production guidance for manufacturers. The stack pairs Bluetooth Low Energy, NFC and Flutter field apps with an LLM layer (Azure OpenAI, Gemini, LangChain, LangGraph, LangSmith), which points to agentic workflows built on top of IoT hardware. Hiring leans toward sales and senior roles, consistent with a push into account expansion and partner revenue.
Augury, founded in 2011 and headquartered in New York, builds industrial AI software and connected hardware for manufacturers. Its products focus on machine health and predictive maintenance, helping production teams cut downtime, lower asset costs and increase yield and capacity. The company is privately held with 201–500 employees and hires across the United States, Israel, Bulgaria, India and the United Kingdom. Its business systems include Salesforce, Gainsight, NetSuite and Coupa, supporting a subscription-style, customer-success-driven model.
Augury uses Python, Go, Node.js, React, Flutter and Dart, with MongoDB Atlas, Kafka and RabbitMQ, plus Azure OpenAI, Gemini, LangChain and LangGraph for AI, and Salesforce, Gainsight and NetSuite for business operations.
Yes. Sales is Augury's largest hiring area, alongside engineering, marketing and operations, with a tilt toward senior and manager-level roles in the US, Israel, Bulgaria, India and the UK.
Job posts point to industrial AI offerings, IoT hardware integration, guided installation workflows, a machine coverage strategy, partner enablement and a scalable monorepo architecture.
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Augury's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.