AI-powered machine health platform for industrial downtime prevention
Augury detects and predicts equipment failures in industrial operations using embedded sensors (Bluetooth, BLE) paired with machine learning models deployed at scale. The tech stack reveals a dual-track engineering approach: firmware-heavy embedded systems (Yocto, FreeRTOS, Zephyr, ARM) feeding sensor data into cloud analytics (BigQuery, MongoDB, Python), with Salesforce anchoring enterprise sales motion. Active hiring skews heavily toward sales (10 roles) over engineering (7), signaling a shift from product-market fit validation toward go-to-market scaling—supported by concurrent projects in enterprise sales, outbound campaigns, and win/loss analysis.
Notable leadership hires: Embedded Firmware Lead
Augury is an industrial AI company founded in 2011 that prevents unplanned equipment downtime and improves production efficiency for manufacturing and process-heavy customers. The product combines edge-deployed sensors and firmware with cloud-based predictive and prescriptive analytics. Customers report 5–20x ROI through reduced downtime, improved process efficiency, higher yield, and lower emissions. The company operates from New York with engineering and sales presence across the United States, Israel, and Bulgaria, serving a mid-market and enterprise customer base in the industrial sector.
Embedded layers (Yocto, FreeRTOS, Zephyr, ARM Cortex-M, C/C++, Go, Rust); wireless (Bluetooth, BLE); cloud (BigQuery, MongoDB, Python, SQL); sales/analytics (Salesforce, Sisense); DevOps (Docker, Jenkins, Git).
United States, Israel, and Bulgaria. Current hiring includes an Embedded Firmware Lead, reflecting focus on firmware and edge systems.
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