Fujitsu Limited launched a new multi-AI agent collaboration tool. This technology allows AI agents from various companies and vendors to work together securely within a supply chain. The company plans to commence field trials in January 2026 with Rohto Pharmaceutical Co., Ltd. and Science Tokyo.
This innovation seeks to change supply-chain operations. It allows for quick responses to changes, like sudden demand shifts or emergencies. The technology offers smoother logistics and quicker recovery. This boosts agility and resilience for businesses in complex, interconnected supply chains.
What the New Technology Does
The multi-AI agent collaboration framework includes two principal components: A global optimal control mechanism that allows AI agents from different firms to collaborate without revealing proprietary or sensitive data. Via negotiation-based exchanges suggestions and answers a “proposing” AI agent approximates the behavior of other agents to determine the overall optimal state for the entire supply chain.
A secure inter-agent gateway that preserves confidentiality and prevents data leakage. The gateway uses AI-learning and secure agent communication. This setup lets agents from different companies work together safely. It uses a knowledge-distillation method. This means it transfers knowledge from “teacher” models to “student” models. This helps with learning while keeping raw data private. The system detects harmful queries while it operates. It protects sensitive information by simulating agent behavior repeatedly. Responses are given in a format that can’t be reverse-engineered.
This design enables secure, privacy-preserving collaboration across a multi-vendor supply chain a critical need for industries requiring confidentiality while coordinating across partners.
Field Trials and Expected Impact
In collaboration with Science Tokyo and Rohto Pharmaceutical, Fujitsu conducted initial virtual-supply-chain simulations. Results showed the potential to reduce transportation costs by up to 30%.
Starting January 2026, Fujitsu plans large-scale, real-world supply-chain trials running through March 2027. If successful, the company will expand the deployment to more industries including manufacturing and roll out the solution globally by the end of fiscal year 2026 under its Uvance business model.
Fujitsu sees this technology as a base for strong and sustainable supply chains. It can quickly adapt to disruptions and support long-term industrial growth.
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A Strategic Move in Fujitsu’s Uvance Portfolio
Fujitsu’s new multi-AI agent collaboration fits into its Uvance mission. It uses data, AI, and secure teamwork to tackle challenges in society and industry. By enabling secure cross-company data and AI collaboration, Fujitsu aims to strengthen supply-chain resilience and support sustainable business operations across sectors.
Comment from Science Tokyo
Science Tokyo is promoting Cyber-Physical Systems (CPS) research. They aim to boost efficiency throughout the industrial value chain. We plan to work with Fujitsu’s AI technology to improve the supply chain. This will help advance the industry and tackle social challenges.”
Implications for Industry
Supply-Chain Resilience: This technology helps companies create supply chains that quickly adjust to changes in demand or disruptions. These can include natural disasters or unexpected market shifts.
Data Confidentiality & Collaboration: Allowing AI agents from different organizations to work together keeps sensitive data safe. This helps secure coordination across corporate supply chains.
Cost Efficiency: Early simulations show that transportation and logistics costs could drop by up to 30%. This is a strong benefit for manufacturers, distributors, and retailers.
Scalability & Broad Industry Appeal: The first trials target pharmaceuticals. But Fujitsu plans to expand to manufacturing and other sectors. This could make it important for global supply networks.