Traditional learning systems manage courses. They do not understand knowledge.
Most learning platforms organize training around course containers, modules, and completion records. As content libraries grow, knowledge becomes fragmented across programs, duplicated across courses, and disconnected from each learner’s actual understanding.
Course silos
Content is stored course by course, with limited visibility across programs.
Hidden overlap
Repeated concepts and duplicated materials are difficult to detect or reuse.
Learner blindness
Completion data shows activity, but not true knowledge state or mastery.
Knav turns course libraries into connected learning intelligence.
Knav analyzes courses, organizes them into domains, constructs knowledge graphs, interacts with learners through an AI-native guide, infers learner knowledge state, and uses planning intelligence to generate personalized learning paths.
The Learning Intelligence Workflow
Knav transforms course libraries into an intelligent knowledge system that understands content, understands learners, and continuously plans personalized learning paths toward mastery.
What Knav enables
Connected Knowledge Graphs
Knav reveals concepts, relationships, prerequisites, learning resources, and assessments across an organization’s course library.
Learner Knowledge State
Knav identifies what the learner knows, where gaps exist, what preferences matter, and what goal they are working toward.
AI Planning Engine
Knav uses the knowledge graph and learner state to compute an optimal personalized learning strategy.
Continuous Replanning
As learners progress, the system updates their state and refines the learning path.
Content Reuse
Learning objects can be attached to concepts instead of being trapped inside individual courses.
Learning Governance
Organizations gain better visibility into knowledge structure, overlap, and curriculum maintenance.
Designed for modern learning organizations
Knav helps L&D teams move from static course delivery to intelligent knowledge management.