Knowledge
Policies, project materials, messages, code, and business records
Genly Enterprise Context
Help models read information—and understand what it means inside the enterprise and where the boundaries are.
Enterprise Context organizes content, people, business objects, relationships, permissions, and processes into one governed enterprise context shared by Search, AI Answers, and Agent.
Business object relationship examplePermissions inherited
Business objectProject XingheCustomer delivery · in progress
OwnerProject manager
ContentPlans and meeting notes
CustomerFinancial institution
Sources: collaboration · project systems · document librariesContinuously updated
01 / Context gap
Similar text does not mean business relevance.
Plain retrieval or RAG may find similar passages without knowing which customer owns the material, who is responsible, whether the current version is valid, or whether the asker may access it.
Enterprise Context makes these internal facts and boundaries explicit so models stop guessing business semantics.
02 / Context composition
Enterprise information must keep six dimensions at once.
Relationships
Links among people, organizations, content, and business objects
Permissions
User, group, space, and object-level access boundaries
Processes
Task state, owners, approvals, and tool actions
Timestamps
Versions, update times, validity periods, and data freshness
Evidence
Original sources, citation locations, and processing records
03 / From data to context
Connect data once—reuse semantics and governance continuously.
Learn Genly Connector →- 01
Connect
Connector syncs content, identities, permissions, and metadata from enterprise systems.
- 02
Resolve
Recognize pages, people, projects, and business records as computable objects.
- 03
Relate
Build object relationships while preserving sources and update times.
- 04
Govern
Queries and execution always follow source permissions and leave audit evidence.
04 / Context components
Organization-wide facts and personal relevance share the same boundaries.
Individual context
Personal Graph
Build a durable cognitive graph around personal knowledge, collaboration ties, and work context.
View details →Organization-wide context
Enterprise Graph
Connect people, organizations, content, systems, permissions, and business objects into organization-wide context.
View details →05 / Upper-layer reuse
Three product entry points—without building three separate context stacks.
Genly Search
Search content, people, and business objects with enterprise semantics and permissions.
Enter product →Genly AI Answers
Generate cited, verifiable answers on the same context.
Enter product →Genly Agent
Complete tasks through tools under explicit identity, authorization, and human confirmation.
Enter product →06 / Governance boundary
Building relationships does not expand permissions.
Graph relationships help the system understand relevance. Every search, answer, and tool call still checks source permissions for the current user—and traces to original sources, timestamps, and processing records.
Request a context modeling pilot