Press Release

A Star Quantum Awarded Contract by JAL Engineering to Develop Aircraft Fault Prediction Analytics Platform

AQCloud’s high-speed analytics server enables fast and easy analysis of hundreds of terabytes of data

August 6, 2026

Japan Airlines Co., Ltd. A Star Quantum Inc.

Japan Airlines Co., Ltd.
A Star Quantum Inc.

A Star Quantum Inc. (President & CEO: Koji Funabashi) has been awarded a contract by JAL Engineering Co., Ltd. (President: Takashi Hamamoto; hereinafter "JALEC") to develop a data analytics platform. The platform will store and analyze in-flight sensor data collected from aircraft operated by JALEC to predict potential faults.

Leveraging the speed and security of AQCloud, its high-speed Quantum AI cloud computing platform, A Star Quantum will provide the “AQ Data Nexus × Data Analytics Platform.” Powered by a proprietary ultra-high-speed database, the platform can sort, cluster, search, and perform operations such as sorting, clustering, and searching on datasets containing up to 100 trillion records in under one second.

By deploying the AQ Data Nexus × Data Analytics Platform, A Star Quantum will accelerate data analytics workflows and contribute to JALEC’s ongoing efforts to improve aircraft reliability.

■About the AQ Data Nexus × Data Analytics Platform

Heading: 1. Uniqueness and Technological Advantages. AQ Data Nexus breaks through data analytics latency bottlenecks by processing 100 trillion records in under one second. Side-by-side comparison: On the left, "Conventional Standard Architecture" highlighting limitations of large-scale, complex queries (queries taking over 20 seconds or timing out) and rising costs due to parallel processing. On the right, A Star Quantum "AQ Data Nexus" highlighting: 1) Processes 100 trillion records in under one second via a proprietary ultra-high-speed database algorithm, and 2) 10,000x greater capacity (expanding from TB to PB scale) and dramatically lower costs by eliminating parallel servers.

AQ Data Nexus × Data Analytics Platform — 1. Uniqueness and Technological Advantages

Heading: 2. Technology Foundation and Proven Track Record. Subtitle: Proprietary AQCloud optimization technology with a proven track record of deployment and co-creation for social infrastructure. Diagram: Architecture of the Quantum AI Cloud Platform "AQCloud" consisting of three components: 1) AQ High-Speed Database (Data Nexus) for ultra-fast extraction and visualization of information from massive core databases in under one second; 2) Conventional AI / CPUs & GPUs for demand forecasting, hypothesis generation, and real-time data visualization; 3) Quantum Technology x Proprietary Mathematical Optimization combining various quantum computers and quantum-inspired systems with proprietary algorithms to optimize resource allocation and planning.

AQ Data Nexus × Data Analytics Platform — 2. Technology Foundation and Proven Track Record

Heading: 3. Business Use Cases. Subtitle: Five ways an ultra-high-speed database enables "instant data access x optimized action". Grid showing 4 key scenarios: 1) Accounting & Order Inquiries (Core Database Integration) [Action: Instant Inquiry & Allocation] to search hundreds of millions of order records for immediate responses and inventory allocation. 2) Operations, Dispatch & Resource Optimization [Action: Mathematical Optimization Tools] for real-time calculations for optimal routes, vehicle assignments, and staff allocation. 3) Customer Support & Incident Response [Action: Log Search & Initial Response] to identify similar cases from tens of millions of product logs and FAQs. 4) Sales & SFA (CRM Integration) [Action: Transaction Analysis & Proposal Drafting] to instantly analyze complete historical transaction records and customer behavior logs.

AQ Data Nexus × Data Analytics Platform — 3. Business Use Cases: Accounting and Order Inquiries / Operations, Dispatch and Resource Optimization / Customer Support and Incident Response / Sales and SFA

Infographic of Case 5: Financial & Payment Transaction History Analysis. Illustrates a 4-step workflow: 1) Data Generation from users, apps, and AI agents into massive payment history. 2) High-Speed Search & Sort allowing instant extraction of needed transactions. 3) Accounting Support with AI Agent answering transaction inquiries, analyzing trends, and generating reports. 4) Value Delivered showing benefits for users, accounting teams, and businesses (instant search, streamlined month-end processing, and lower operating costs).

AQ Data Nexus × Data Analytics Platform — 3. Business Use Cases: Financial and Payment Transaction History Analysis