To The Moon

Recently, a global leading new materials company partnered with Radnova Intelligent Technology ( $YXT.COM GROUP HOLDING LIMITED(YXT)$ ) to build an integrated system covering knowledge accumulation, learning operations, capability certification, and knowledge management through Radnova’s TalenNova intelligent talent development platform. The project reflects Radnova’s evolving product direction: using AI to reshape how enterprise knowledge is created, operated, and applied, while extending traditional corporate learning scenarios into enterprise knowledge intelligence and organizational productivity.

For large manufacturing companies, production capacity, equipment, and supply chain capabilities remain important. However, as industries enter a more mature stage of competition, the gap between companies is increasingly shaped by how efficiently they can accumulate, replicate, and apply organizational knowledge. With products continuously upgraded, processes constantly iterated, and expert experience steadily accumulated, the key challenge is no longer simply how to expand capacity, but how to ensure that knowledge can keep pace with business growth.

From Having Experience to Operating Knowledge Continuously

Manufacturing companies often have a large amount of critical know-how, much of which resides with R&D experts, process engineers, and key business personnel. The successful introduction of new products, continuous optimization of process parameters, and accurate implementation of safety standards often depend on the experience of a limited number of core employees.

In the past, this knowledge was mainly transferred through documents, offline training, and mentorship. While useful, these methods can be slow to update, difficult to scale, and highly dependent on individual employees. As companies expand and business complexity increases, traditional training management is no longer sufficient to support sustained organizational growth. Enterprises need more than a course platform; they need a system that can continuously accumulate, update, and operate knowledge.

AI Is Reshaping Enterprise Knowledge Production

In this project, Radnova integrated AI capabilities into the full process of enterprise knowledge production. Through AI-powered course creation, product materials, process standards, and expert experience can be quickly converted into structured courses, shortening the content development cycle and enabling training content to respond more quickly to product iterations, safety standard updates, and role-based capability development needs.

At the same time, the company continues to capture expert experience, process standards, and operating procedures through the platform, gradually forming a knowledge system that supports unified management, continuous updates, and intelligent search. Knowledge that was previously scattered across individuals, departments, and documents is being transformed into organizational assets that can be accumulated and reused over time.

In the critical scenario of production safety, the company further uses AI-powered exams and intelligent assessment capabilities to build a closed loop covering learning, evaluation, certification, and capability analysis. With automated test generation, intelligent grading, and capability tracking, safety training is being upgraded from “completion of learning” to “continuous validation of role-based capability.”

From knowledge production to learning operations and capability certification, the company is gradually building a complete knowledge operations system.

In the AI Era, Enterprises Need Operable Knowledge Systems

More companies are realizing that deploying AI does not necessarily mean completing digital or intelligent transformation. Whether AI can truly create value depends on whether the enterprise has a knowledge system that can be continuously accumulated, updated, and called upon.

Product knowledge, process standards, business workflows, and expert experience have traditionally supported employee training. In the AI era, they will also become an important foundation for AI to understand the enterprise, assist role-based work, and support business workflows.

This is also an important direction of Radnova’s intelligent productivity strategy. Around Enterprise Knowledge Intelligence, Radnova helps enterprises turn scattered internal knowledge, policies, workflows, and best practices into intelligent knowledge assets that can be accumulated, searched, called upon, and continuously evolved.

From Knowledge Management to Intelligent Productivity

On the surface, this is an upgrade of a manufacturing company’s knowledge management system. At a deeper level, it reflects a shift in the path of enterprise intelligence. In the future, knowledge will not only support employee learning, but also serve AI agents and business workflows.

When knowledge can be continuously operated and jointly used by employees and AI, companies gain more than improved talent development efficiency. They gain a capability foundation that supports long-term organizational evolution. As AI moves deeper into enterprise operations, the key to future competition in manufacturing will extend beyond equipment and production lines to knowledge accumulation, experience replication, and the continuous release of intelligent productivity.

About YXT.com

YXT.com (NASDAQ: YXT) is a technology company focusing on enterprise productivity solutions. With a mission to "Empower people and organization development through technology," the Company strives to become the supreme provider in building and boosting enterprise productivity by combining over a decade of experience in tech-enabled talent learning and development and with AI-augmented task copilots and unleashing the power of knowledge and synergy. Since its inception, YXT.com has supported and received recognition from numerous Global and China Fortune 500 companies.