Knowledge is hard to manage in one place
Documents are scattered, systems are siloed, versions are messy. Knowledge islands block collaboration and reuse.
DeepAgent 4.0 Pro · AI Knowledge Hub
Turn enterprise knowledge into truly AI-callable assets
Seven specialized AI agents unify access to enterprise documents, systems, and business knowledge—building a trusted loop from processing and governance to distribution and calling, so every AI call is based on accurate, compliant, and up-to-date enterprise knowledge.
Enterprise AI transformation starts with the knowledge foundation
Knowledge quality is hard to guarantee
Content is inconsistent, incomplete, and slow to update—hurting the accuracy and trustworthiness of AI output.
Experience is hard to turn into assets
Business experience stays with individuals and teams; it cannot be structured, stored, and passed on.
Knowledge cannot be reused by multiple types of AI agents
Different agents face high access barriers and inconsistent formats, making it hard to call knowledge assets at scale.
From knowledge intake to intelligent calling: a full-chain knowledge loop
Usage feedback Gap detection Update & publish
7 AI agents that keep enterprise knowledge usable
AI Document Parsing
Parse multi-format documents, extract content, and output structured, usable knowledge.
AI Knowledge Structuring & Modeling
Entity recognition, relation extraction, and graph construction—so knowledge is easier to connect and understand.
AI Knowledge Governance
Quality checks, tag management, and version control to keep knowledge trusted, compliant, and usable.
AI Knowledge Governance & Inspection
Automated inspection and health scoring to find issues and keep optimizing the knowledge foundation.
AI Q&A Testing & Evaluation
Generate test sets and run multi-round Q&A to keep validating knowledge in question-answering scenarios.
AI Monitoring Insight
Full-chain monitoring and performance analysis to surface risks and usage opportunities in time.
AI Gap Detection
Identify knowledge gaps and weak spots to drive supplementation and knowledge production.
Customer case
AI Knowledge Hub · A leading global FMCG brand
100%
Knowledge accuracy
100%
Knowledge consistency
95%
Knowledge coverage
93%
Consumer satisfaction
A leading global FMCG brand｜Knowledge-base build
Building an AI Knowledge Hub management system for a consumer brand
Unify and parse unstructured enterprise knowledge, turn it into standardized assets such as SOPs and FAQs, and establish knowledge review and validation so enterprise knowledge stays accurate.
* Project data, confirmed with the customer before use
