KBR, Inc. and Applied Computing announced the launch of INSITE 3.0, an AI‑powered platform that uses machine‑learning models and real‑time process data to fine‑tune operating parameters in ammonia plants, aiming to cut greenhouse‑gas emissions and boost energy efficiency.
The platform processes 100 % of operational data in real time, delivering physics‑grounded insights that operators can act on immediately. By integrating AI with KBR’s existing ammonia licensing network—covering roughly 50 % of global capacity—INSITE 3.0 positions the company to capture demand from utilities and industrial customers seeking cleaner production pathways.
Dan Jeavons, president of Applied Computing, said the collaboration “unlocks value that traditional systems cannot by providing explainable, real‑time insights.” KBR’s senior vice president of Sustainable Technology Solutions, Hari Ravindran, added that the platform “has the potential to fundamentally change ammonia plant operations, maximizing yields, lowering emissions, and improving economic performance.”
Ammonia is a key molecule for the energy transition, serving as a zero‑carbon fuel and a hydrogen carrier. KBR’s involvement in both blue and green ammonia projects complements INSITE 3.0’s focus on low‑emission production, offering customers a pathway to meet net‑zero targets while maintaining profitability.
The launch underscores KBR’s broader strategy to embed AI and digital solutions across its sustainable technology portfolio, signaling confidence that the platform will drive growth in the company’s high‑margin, high‑growth segment. While immediate market reaction data are not available, the announcement is expected to reinforce investor perception of KBR’s commitment to decarbonization and technological leadership.
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