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ZAWYA: Kodamai solves enterprise AI’s hardest problem
ZAWYA: Kodamai solves enterprise AI’s hardest problem
About this update from First Milling Co.
First Mills named as inaugural customer, deploying the world’s first mathematically verified agentic AI solution to strengthen food production and supply chain operations across Saudi ArabiaRIYADH, Saudi Arabia & GLASGOW, Scotland--(BUSINESS WIRE/AETOSWire)-- Emerging from stealth, Kodamai launches the world’s first enterprise AI agent platform built on mathematical first principles — using Category Theory, Type Theory, and Neuro-Symbolic AI — to give every agent a formally verified interface contract. Where other agentic platforms produce results that are plausible, Kodamai produces agents that are provably correct: every action is mathematically verified before execution, while every decision is fully auditable after the fact.The company simultaneously announced First Mills TADAWUL:2283 — Saudi Arabia’s market-leading flour milling company and a cornerstone of the Kingdom’s food security ecosystem — as its first enterprise customer. First Mills is deploying Kodamai’s Kelvingrove platform across its four production facilities. This deployment is the first use of mathematically verified AI agent infrastructure at this scale in Saudi Arabia and aligns directly with Vision 2030’s ambition to build a resilient, technology-driven economy.“AI is moving from experimentation to enterprise deployment, and that shift demands a new standard of trust,” said Maha Achour, PhD, Co-Founder and Chief Executive Officer, Kodamai. “We built Kodamai to give enterprises the ability to deploy AI agents they can govern — systems that are not only intelligent but provably correct, explainable, and auditable by design.”Thousands of operational decisions must be made daily across supply chain coordination, quality control, and demand forecasting, many of which traditionally rely on manual processes. Kodamai’s platform introduces a new operational model for First Mills, deploying scalable and coordinated fleets of AI agents across its business to:Optimize supply chain operations by managing procurement signals, supplier coordination, and inventory levels in real time.Monitor production and quality outputs against precise specifications, triggering adaptive and verified responses.Reduce operational burden by automating repetitive decision cycles, allowing teams to focus on growth and expansion initiatives.Ensure full governance and auditability, with every agent action traceable and...