Augury Machine Health vs Honeywell Forge

Augury Machine Health is a cloud platform for monitoring industrial equipment and guiding maintenance teams. Its sensors capture vibration, temperature, and magnetic data for real-time visibility into condition and performance. Augury says coverage spans more than 200 asset types and four criticality levels. AI diagnostics are intended to identify machine failures early, with prescriptive guidance backed by Category III and IV vibration analysts. The platform connects with CMMS and EAM systems, including SAP PM, IBM Maximo, and Infor EAM, and can trigger work orders with diagnostic findings and repair guidance. It also connects to cloud and industrial data platforms, historians, and SCADA systems; custom integrations can use public APIs or certified system integrator partners. Mobile access includes status monitoring, troubleshooting, QR scanning, and device configuration updates. Apps are listed for Android, iOS, and web.

Honeywell Forge is a portfolio of applications and services for operating complex industrial environments and regulated industries. It links installed assets, brings their data together, and provides enterprise-level insights in real time. Its tools combine deterministic models with operational constraints to support automated processes and operational decisions. Product areas include industrial operations, connected buildings, life sciences, supply chain, and OT cybersecurity. Advanced Process Control coordinates planning, control, and blending in real time, with cloud-based or on-premise analytics. Inspection Rounds lets teams configure and schedule operator rounds, monitor them, review issues, and prepare compliance reports; field data can be captured offline and synchronized after connectivity returns. The Forge API Marketplace offers bidirectional access to building data, with APIs available as add-ons to existing Forge applications. Listed platforms are Android, iOS, Linux, macOS, web, and Windows. Pricing is on request; product offerings may have term-based licensing and feature choices.