A truly future-facing intelligent transformation starts with true control over data.
The wave of generative AI (GenAI) is reshaping industries at an unprecedented pace. Gartner predicts that by 2028, at least 15% of daily work decisions will be made autonomously by AI Agents, and 33% of enterprise software applications will integrate Agent capabilities. This transformation is not a short-lived technology boom, but the "new normal" of the business world.
However, behind the excitement in consumer applications, the enterprise market is facing a more complex trust crisis. Research shows that more than 80% of enterprise AI projects stall after the POC stage. When AI Agents hallucinate or provide incorrect information in critical business scenarios, how can enterprises trust GenAI in core production, risk control, and decision-making systems?
The Root Cause: Data, Not Models
The real challenge is not model capability, but the data foundation. The current state of enterprise data is like an iceberg and faces six core challenges.
Enterprise data is severely fragmented, and multimodal data integration is complex. Unified management is lacking, and requirements for parsing, governance, and enterprise data capabilities are extremely high. At the same time, most enterprises lack evaluation and feedback optimization mechanisms, making it difficult to capture interaction data and user feedback. As a result, Agents cannot complete a closed loop of optimization. In addition, there are scalability bottlenecks when moving from demo to production, with strict requirements for response, stability, and resource elasticity. Data security and governance challenges, together with complex technology stacks and talent gaps, make the deployment path for AI Agents even more difficult.
The Breakthrough: A Data Intelligence Flywheel
As a leading data intelligence platform provider, we believe the real breakthrough is to build a data intelligence flywheel unique to your enterprise.
A data flywheel is a self-reinforcing intelligence loop. Its core logic is simple: first control the data and form high-quality AI-Ready assets; then use trusted AI applications to feed back into the data, continuously optimizing through user feedback and completing a closed-loop acceleration. Repeating this cycle ultimately accelerates enterprise innovation and business growth. Therefore, we believe this closed-loop system should consist of two major engines:
Intelligence from data (Control Your Data): Break down data fragmentation through unified access, transform unstructured knowledge into AI-Ready structured assets through intelligent processing, and achieve version management, lineage tracing, and strict permission control through refined governance.
Data governed by intelligence (Trust Your AI): Use trusted AI applications, such as RAG, to provide services, collect user feedback, and automatically route that feedback back into data processing, optimizing data assets and processing models.
September 12: A Moment to Witness Change
On September 12, 2025, MatrixOrigin will hold an offline launch event in Shanghai under the theme "Intelligence from Data, Data Governed by Intelligence", presenting a complete new enterprise-grade solution.
Three Major Sessions Unlock a New Data Paradigm for the AI Era
- Frontier product launch: in-depth interpretation of the latest capabilities of the hyper-converged database and intelligence platform
MatrixOrigin will officially launch the hyper-converged database MatrixOne and the enterprise-grade AI-native multimodal data intelligence platform MatrixOne Intelligence, focusing on frontier capabilities including Data Branching, Serverless, Agentic architecture, and MCP support.
- Real-world multi-industry case studies: learn from the successes and lessons of leading practitioners
Practitioners from finance, industry, retail, and other fields will share how enterprises address challenges in AI implementation, analyze lessons learned, and provide reusable practical experience.
- Roundtable forum: "Core Competitiveness of Enterprises in the AI Era: Data, Models, or Ecosystems?"
The roundtable will discuss key technical questions such as how enterprises can build a sustainable Data + AI competitive moat, the keys to differentiated competition in the AI era, the interaction between the data flywheel and industry ecosystems, and the balance among data, models, and ecosystems.
Scan the QR code to register and reserve your seat. We look forward to seeing you on September 12 to explore the new commercial future of GenAI together.
About Us
MatrixOrigin is a leading provider of data intelligence (Data & AI) platform technologies and services. Its core team comes from well-known technology companies in China and around the world, with broad industry and international perspectives. MatrixOrigin's core product, MatrixOne Intelligence, is an enterprise-oriented AI-native multimodal data intelligence platform. By using artificial intelligence technologies, including large models, and an innovative hyper-converged data foundation, it helps enterprises uniformly manage and govern multimodal data and transform private-domain data into AI-Ready data assets. It has already served leading enterprises across industries, including StoneCastle, China Mobile IoT, Amway Nutrilite, Jiangxi Copper, and XCMG Hanyun, helping enterprises transform and upgrade from informatization and digitization to intelligence.