Honeywell launches Forge Cognition to apply AI and simulation to facility operations

Honeywell is rolling out Forge Cognition, a new AI and simulation platform designed to improve facility operations, as companies seek to move from rule-based controls to decision-making tools that can adapt to changing conditions. The announcement positions Forge Cognition as a way to model operational scenarios and use AI to help teams manage real-world systems more efficiently.

In the company’s latest move, Honeywell said Forge Cognition is being developed in partnership with NVIDIA and Dell Technologies. The goal is to bring AI capabilities and simulation together so operations teams can evaluate “what-if” changes and then apply recommendations in physical environments, rather than relying solely on manual engineering analysis and fixed operating procedures.

Forge Cognition is described in the announcement as targeting facility operations, a broad category that can include how industrial sites and large buildings are controlled and optimized. By combining AI with simulation, Honeywell’s intent appears to be to reduce the time and cost of planning operational changes, while also supporting more consistent responses when equipment performance, demand, or operating constraints shift.

The platform framing matters because many facility optimization efforts traditionally depend on specialized modeling and slow iteration cycles. Honeywell’s approach, based on the platform description, suggests a more repeatable workflow where a digital representation and AI tools can be used to test alternatives and surface operational guidance.

Honeywell’s move also reflects a wider industry shift toward “digital” operational decision layers. Across energy, manufacturing, and building technologies, companies are increasingly using AI-assisted analytics, simulation, and optimization to manage complex systems such as energy usage, asset reliability, and process variability.

Still, the announcement as presented does not spell out several operational details that would be needed to judge how quickly Forge Cognition could be deployed at scale, including what specific facility subsystems it initially supports, what data sources it can ingest, how performance is measured, or whether it is available as a standalone software offering or bundled into Honeywell services.

For investors and customers, the key near-term question is how Honeywell will demonstrate practical outcomes from Forge Cognition, such as measurable improvements in operating efficiency, reductions in downtime or energy costs, or faster deployment of operational changes. Future disclosures, including customer pilots, performance benchmarks, and integration details with existing control and analytics stacks, will likely determine how the market views Forge Cognition’s impact.