Dubai, UAE, January 2026 – CalvinBall Technologies, whose AI technology stack is backed by the NVIDIA Inception program and trusted by global consumer leaders including Unilever, Colgate-Palmolive, and LVMH, will showcase its AI Decision Intelligence platform at Gulfood AI in Dubai this January. Founded by industry stalwarts from Google, Meta, Unilever, and Gojek, CalvinBall Technologies addresses a persistent enterprise challenge: while consumer brands generate massive volumes of data, their most valuable asset, tribal knowledge embedded in experienced teams, remains siloed, manual, and difficult to scale. The result is slow decision-making, inconsistent execution, and missed opportunities. CalvinBall Technologies converts this tribal knowledge into a programmable AI decision engine. By embedding real-world business expertise, decision logic, and domain context directly into AI agents, the platform enables enterprises to move from fragmented dashboards to clear, role-based actions delivered in seconds. Built by industry experts, the platform fuses human expertise with AI to unify siloed data, embed business logic, and deliver executable decisions securely at enterprise scale. Unlike generic AI copilots or analytics tools, CalvinBall Technologies’ agents are designed to mirror how seasoned professionals think and decide, recommending precise, explainable actions without hallucinations in a fully private environment. The impact is measurable. Enterprises using CalvinBall Technologies have achieved up to 4× productivity gains, 8× faster response times, and unlocked millions of dollars in value across commercial and operational decisions. CalvinBall Technologies’ leadership team brings rare depth of execution, having scaled startups from zero to $100 million in under two years, led $10 billion global partner programs at Google, and contributed to foundational AI systems including LLaMA at Meta. The platform meets enterprise standards, with ISO and SOC 2 certification. At Gulfood AI, CalvinBall Technologies will demonstrate how enterprises can scale decision-making by amplifying what their best people already know.