Application Software

Yonyou

Yonyou released FY2026 Q1 earnings on April 24 Pre-Market (BJT), actual revenue CNY 1.459 B (forecast CNY 1.222 B), actual EPS CNY -0.22 (forecast CNY -0.1564)

Yonyou to Release FY2026 Q1 Earnings on April 25 Pre-Market (BJT), Forecast Revenue CNY 1.222 B, EPS CNY -0.1564

Yonyou released FY2025 Q4 earnings on April 17 After-Market (BJT), actual revenue CNY 3.597 B (forecast CNY 3.602 B), actual EPS CNY 0.0025 (forecast CNY 0.2609)

Yonyou released FY2025 annual earnings on April 17 After-Market (BJT), actual revenue CNY 9.182 B (forecast CNY 9.263 B), actual EPS CNY -0.41 (forecast CNY -0.3631)

Yonyou to Release FY2025 Earnings on March 14 After-Market (BJT), Forecast Revenue CNY 9.273 B, EPS CNY -0.3332

Yonyou released FY2025 Q3 earnings on October 30 After-Market (BJT), actual revenue CNY 2.003 B (forecast CNY 2.363 B), actual EPS CNY -0.14 (forecast CNY -0.1)

Yonyou released FY2025 9 Months earnings on October 30 After-Market (BJT), actual revenue CNY 5.584 B, actual EPS CNY -0.4223

Yonyou to Release FY2025 Q3 Earnings on October 31 After-Market (BJT), Forecast Revenue CNY 2.363 B, EPS CNY -0.1

Yonyou released FY2025 Semi-Annual earnings on August 26 After-Market (BJT), actual revenue CNY 3.581 B (forecast CNY 3.598 B), actual EPS CNY -0.2822

Yonyou released FY2025 Q2 earnings on August 26 After-Market (BJT), actual revenue CNY 2.203 B (forecast CNY 2.202 B), actual EPS CNY -0.0623 (forecast CNY -0.13)

Yonyou to Release FY2025 Semi-Annual Earnings on August 30 (BJT), Forecast Revenue CNY 3.598 B

UFS 2023 Globalization Phase 2.0 Layout

Huatai Securities Gives Buy Rating to Yonyou Network

Guotai Hetao Securities: Yonyou Network's Performance Revives, Maintains 'Overweight' Rating

Ufriend Network and Japanese Companies Reach Agreement on AI-powered Scrap Steel Grading Project

Yonyou Network Launches Secondary Listing

Hang Seng Upgrades Youdao Network Rating to Buy

Yonyou Network Hits Limit Up During Trading

Yonyou Network Expected Net Loss in First Half of 2025

Yonyou Network's ESG Rating Dropped to BB

600588

Yonyou AI Lab has introduced the Large Ontology Model (LOM), which enables AI to autonomously construct structured business logic systems from raw enterprise data. This model addresses the limitations of traditional large models by providing stable, reliable, and deterministic reasoning. LOM achieved an accuracy of 88.8% in ontology completion and 94% in complex graph reasoning tasks, outperforming existing models. Its tripartite architecture integrates semantics and structure, allowing for real-time updates and precise reasoning, making it suitable for high-accuracy enterprise applications in finance, supply chain, and production.

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02:48 ETLOM: Unifying Ontology Construction and Semantic Alignment for Deterministic Enterprise Reasoning at Scale

Yonyou AI Lab has introduced the ontology harness, a framework aimed at making enterprise AI decisions traceable and auditable. The research highlights that the accountability crisis in enterprise AI stems from architectural issues rather than model capabilities. The ontology harness shifts the authority to the Enterprise Ontology, ensuring every decision is traceable. Benchmarking against general-purpose LLMs shows that the ontology-governed model, LOM-action, significantly outperforms in compliance and accuracy. The paper outlines four principles for deploying this framework effectively in enterprise settings.

06:14 ETYonyou AI Lab Introduces Framework to Make Enterprise AI Decisions Traceable and Auditable

Yonyou has launched the Large Ontology Model (LOM), a transformative tool for enterprise digital transformation. This model shifts from traditional data management to a knowledge graph-based architecture, enabling efficient handling of complex datasets. LOM enhances decision-making across procurement, production, sales, and finance by providing deep insights and automating processes. It boasts state-of-the-art performance in logical reasoning tasks, achieving 89.47% accuracy. The LOM empowers enterprises to optimize workflows, manage risks, and improve customer insights, ultimately driving business momentum and operational efficiency.

20:08 ETYonyou Unveils the Large Ontology Model (LOM): Forging a Deep-Thinking Digital Core for the Enterprise

On March 1, 2026 in Beijing, the advancement of enterprise digital transformation is progressing with greater depth and precision. The key competitive barrier lies in efficiently managing and utilizing vast datasets. One of the major challenges is integrating data from multiple sources.

Unusual Whales

Yonyou introduces Large Ontology Model (LOM) for enterprise digital core advancement in Beijing on March 1, 2026.

Yonyou(600588.SH)

02:48 ETLOM: Unifying Ontology Construction and Semantic Alignment for Deterministic Enterprise Reasoning at Scale

06:14 ETYonyou AI Lab Introduces Framework to Make Enterprise AI Decisions Traceable and Auditable

20:08 ETYonyou Unveils the Large Ontology Model (LOM): Forging a Deep-Thinking Digital Core for the Enterprise

Yonyou introduces Large Ontology Model (LOM) for enterprise digital core advancement in Beijing on March 1, 2026.