Honeywell Launched Forge Cognition AI Platform
The building management system uses NVIDIA models to automate equipment maintenance and energy optimization.
Updated on Oct. 14, 2026 in Artificial Intelligence
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Honeywell has released Forge Cognition, an artificial intelligence platform designed to manage building operations. The system is now live across pilot sites including the NVIDIA Voyager campus and Vanderbilt University.
Why it matters
The platform addresses the increasing complexity of large-scale infrastructure by using autonomous agents to diagnose equipment failures and manage energy use. It leverages existing hardware to bring real-time simulation to the facility management sector.
The system supports manual, semi-autonomous, and autonomous modes for facility control. It integrates real-time facility data with NVIDIA Nemotron, Omniverse, and Cosmos models running on Dell AI infrastructure.
The players
Honeywell
A conglomerate focused on building technologies, industrial automation, and aerospace systems with a global footprint of over 300,000 facilities.
NVIDIA
A semiconductor and software company providing the AI models and simulation infrastructure underpinning the Forge Cognition platform.
Dell Technologies
A hardware manufacturer supplying the AI infrastructure needed to host the Forge Cognition computational load.
The details
Forge Cognition functions by ingesting building telemetry to classify alarms and identify equipment failures before they result in downtime. It uses digital twin technology through Omniverse — a platform for building and operating industrial metaverse applications — to simulate operational scenarios based on real-time facility conditions. The AI agents autonomously analyze these simulations to optimize energy consumption and improve asset reliability.
Timeline
October 14, 2026: Honeywell launched the Forge Cognition AI platform.
The Tech Race
This launch signals a shift toward deploying industrial-grade simulation engines, such as NVIDIA's Omniverse, in commercial property management. It follows a trend of integrating edge AI into legacy building systems to transition from reactive maintenance to autonomous operational control.
Building operators and facility managers will see the platform deployed in select corporate and academic environments first. It replaces traditional manual diagnostic workflows with automated alarm classification and autonomous system adjustments.
The takeaway
The transition to autonomous building management relies on the ability of AI to accurately simulate complex mechanical environments. Watch for future reports on pilot outcomes from the Vanderbilt and NVIDIA campus sites to verify the system's performance in high-density environments.
Further reading
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