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Palantir and Fujitsu Expand Partnership to Accelerate Enterprise AI Adoption

Palantir Technologies and Fujitsu have expanded their strategic partnership to accelerate enterprise AI adoption in Japan and global markets, with Fujitsu becoming a Global Forward Deployed Engineering (FDE) Partner.

Under a new agreement with Palantir Technologies Japan, Fujitsu will expand its use of Palantir’s Artificial Intelligence Platform (AIP) and Foundry while investing in FDE capabilities. The partnership will focus particularly on sovereign AI, allowing enterprises to deploy AI applications while maintaining greater control over their data, models, infrastructure and operations.

The companies highlighted an existing deployment in which Fujitsu used Palantir technology to build a supply-chain resilience system for a major Japanese manufacturer. The platform integrated information from more than 3,000 suppliers and 18 factories, generating more than $10 million in cost savings within one year while doubling operational productivity.

Fujitsu plans to combine Palantir AIP and Foundry with its own technologies, including its Takane large language model and Uvance offerings, to develop customized enterprise AI applications.

The expanded agreement builds on a strategic relationship dating to 2020 and comes as Palantir broadens its enterprise AI ecosystem.
Fujitsu Financial Statements are released

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Fujitsu Limited and Carnegie Mellon University have launched a joint Physical AI Research Center to advance the development and real-world application of AI systems that interact with physical environments.

The center will focus on integrating technologies such as robotics, machine learning, simulation, and human–robot interaction to address challenges in sectors including manufacturing, logistics, infrastructure, and healthcare. It will leverage interdisciplinary expertise from both academia and industry to accelerate deployment of physical AI solutions.

A key initiative includes the development of Fujitsu’s “Kozuchi Physical OS,” a platform designed to coordinate robots, sensors, and systems in real-world environments by combining adaptive “brain intelligence” and environmental “spatial intelligence.” Technologies developed at the center are expected to be gradually integrated starting in fiscal 2026.

The collaboration aims to support automation, improve productivity, and enable safer human–robot collaboration, contributing to the development of sustainable and resilient social infrastructure.
Fujitsu and Japanese startup BULL have signed a memorandum of understanding to jointly develop a high-precision space situational awareness (SSA) service aimed at improving the monitoring of space debris and supporting safer space operations. The initiative is intended to help establish a de facto standard for space traffic management as orbital congestion increases.

The collaboration will combine BULL’s data collection capabilities, including its “HORN” device designed to prevent satellites and rockets from becoming debris, with Fujitsu’s expertise in large-scale data processing and orbital analysis. Together, the companies plan to build a comprehensive service covering satellite tracking, collision risk analysis, and operational support.

The move comes amid rapid growth in satellite deployments, which has heightened the risk of collisions in orbit. Fujitsu and BULL said the partnership aims to contribute to safer, more sustainable space activities while supporting the development of effective space traffic management systems.
Fujitsu announced the launch of GLOVIA One, a new cloud-based ERP solution designed for mid-sized Japanese enterprises, integrating core business functions such as accounting, HR, sales, and production into a single platform.

The system incorporates an AI agent that centralizes and visualizes business data, supporting real-time decision-making and operational insights. Future enhancements include a “Chat BI” feature, enabling conversational data analysis and providing actionable recommendations.

GLOVIA One is built with a flexible, API-based architecture, allowing seamless integration with third-party solutions while minimizing customization needs. It operates on Fujitsu’s Uvance platform, ensuring high security and stable performance, and is tailored to Japan’s specific regulatory and business environment.

The solution targets challenges such as labor shortages and digital transformation gaps, aiming to support business growth and adaptability. Fujitsu plans to expand the platform’s capabilities and ecosystem, positioning GLOVIA One as a scalable, AI-driven foundation for enterprise management in Japan.
Kawasaki/Hiroshima, April 15, 2026 — Fujitsu Limited and Chugoku Electric Power Transmission & Distribution have signed an intellectual property licensing agreement to support renewable energy integration and modernize power transmission maintenance.

Under the deal, Fujitsu will utilize Chugoku Electric’s dynamic line rating technology and related IP to launch a new service for power transmission and distribution operators. The service combines vibration data from optical fiber sensing with AI analytics to optimize real-time transmission capacity and predict future conditions, enabling more efficient use of existing grid infrastructure.

The solution also supports drone-assisted inspections and data-driven maintenance, reducing reliance on manual processes and addressing workforce challenges. Both companies aim to accelerate digitalization in power infrastructure while improving grid resilience and facilitating greater adoption of renewable energy.
Fujitsu Limited announced the launch of a new generative AI service designed to analyze source code and automatically generate system design documents.

The service, “Fujitsu Application Transform” powered by Kozuchi AI, can reduce document generation time by up to 97%, significantly accelerating the modernization of legacy IT systems. It supports languages such as COBOL and improves documentation accuracy and readability compared to conventional methods.

By leveraging proprietary technologies, including knowledge graph–enhanced retrieval systems, the solution minimizes errors and ensures comprehensive analysis of complex codebases.

Fujitsu said the offering will be provided as a SaaS solution in Japan and plans to expand its capabilities to include automated code rewriting and system maintenance support, helping organizations streamline digital transformation efforts.
Fujitsu Limited announced the development of a world-first high-sensitivity, high-resolution infrared sensor designed to enhance monitoring capabilities in defense and disaster prevention.

The new sensor features over one million pixels and dual-band detection, enabling it to capture both mid- and long-wavelength infrared signals while detecting temperature differences as small as 0.05°C. This allows for precise monitoring in both day and night conditions and improves detection and identification performance compared to conventional sensors.

Developed under a project with Japan’s Acquisition Technology & Logistics Agency, the technology is expected to support applications such as disaster response, environmental monitoring, early fire detection, and surveillance systems mounted on satellites or aircraft.

Fujitsu plans to leverage this technology for commercial products starting in fiscal 2026, targeting monitoring cameras and other advanced sensing applications across multiple sectors.
Fujitsu and Umios announced the successful completion of a pilot project for an electronic traceability system designed to track seafood distribution and enhance supply chain transparency.

The system enables consumers to access full production history—from farming to retail—via smartphones, with pilot results showing strong consumer trust and willingness to pay more for traceable products.

The initiative aims to combat illegal fishing and support sustainable fisheries, with plans to expand the system to additional species and begin commercial deployment by fiscal year 2027.
Fujitsu announced that its traffic simulation system has been adopted in Maebashi City’s regional public transportation plan, supporting efforts to modernize and optimize local transit systems in Japan.

The system, developed under a government-backed digital transformation project, enables simulation of both fixed-route and demand-responsive transport—marking a first in Japan—and provides data-driven insights to support policies such as expanding bus routes.

Leveraging AI and digital twin technology, the solution helps forecast travel demand and evaluate policy impacts, reducing planning time by about 25% and aiding the development of sustainable, efficient transportation networks.