Stelax Enterprise Digital Employee Platform

Xingmang Zhiyuan is a set of knowledge platforms that make enterprise knowledge truly work. With a self-developed high-precision RAG engine as the core, we search, sort, and synthesize knowledge across documents, work orders, wikis, emails, and product manuals — delivering well-documented and traceable answers the moment the team needs them. We are not satisfied with storing knowledge; what we need to do is let the knowledge run — build the enterprise's own knowledge retrieval infrastructure, so that every accumulated content asset can be instantly retrieved and accurately reused.

The lifeblood of business operations is not limited to databases. The experience, context, and judgment that truly underpins everyday decisions are scattered across documents, work orders, and employees' minds. Traditional knowledge banks can be stored, but cannot be found; enterprise searches can locate files and cannot provide answers. The customer is waiting. Every day, senior engineers are stuck with elementary work orders — not because they don't have enough ability, but because they can't find the knowledge. The support team couldn't cross time zones and couldn't catch up. What Xingmang Zhiyuan wants to solve is this fundamental problem: let corporate knowledge stop falling asleep, search is what you get, and the results can be trusted.

The self-developed high-precision RAG engine is the technical foundation for the entire platform. Hybrid search deeply integrates semantic search with keyword matching to make up for the lack of accuracy of pure vector solutions. Query rewriting transforms vague search intent into precise search targets. Multi-language support eliminates the need for separate pipelines for each language. The AI Focus summary intelligently compresses long documents into context where answers are ready. Each answer is marked with a reference to the source document — the team can trust the answer or check the original text with one click. The answers are presented through web conversations, embedded components, Zendesk, internal IM, browser extensions, and APIs in the work interface the team is already using.

Xingmang Zhiyuan was created for the production environment and is not a PoC experimental product. The platform supports flexible use of multiple models. It is compatible with Amazon Bedrock, Anthropic Claude, OpenAI, and customer self-deployment models. The enterprise chooses the model independently, and the platform is responsible for searching the entire link. Flexible deployment methods: SaaS, deployment within the customer VPC, or complete local privatization, as a controlled AI system that keeps the data completely within the enterprise infrastructure boundary. SSO/SAML, RBAC, full-link encryption, audit logs, four-layer AI content security protection (intent recognition → prompt injection blocking → sensitive content filtering → output compliance review), and GDPR aligned data processing mechanisms have been built in since the first day of the product.

At present, dozens of enterprises have proven their actual results, including: the knowledge accuracy rate is over 90%, the user self-service resolution rate is over 70%, and the self-service work order resolution rate is as high as 86%, saving the enterprise 300+ hours of manpower every month of deployment. Customers have achieved 7×24 hour uninterrupted service across time zones, organizational experience continues to accumulate without loss due to personnel turnover, the start-up cycle for new hires has been drastically shortened, and senior employees are freed from repetitive work orders — giving back time to things that really require human judgment.