Workspaces for owned knowledge
Separate procedures, decisions, files, and reusable context by organisation, team, customer, project, or public documentation set.
Usable keeps the story simple: store knowledge, control who can use it, and expose it through the right interface, from browser chat to MCP and APIs.
Memory you own, governance you set, and retrieval that brings the source back.
Separate procedures, decisions, files, and reusable context by organisation, team, customer, project, or public documentation set.
Keep knowledge scoped to the people, assistants, and product surfaces that should be allowed to use it.
Find relevant knowledge and fetch the full context before an assistant answers, writes, or helps with work.
The knowledge stays in Usable. The interface depends on who needs it: staff, customers, developers, or DevOps teams.
A governed home for fragments, files, collections, workspaces, roles, and approved AI access.
A browser chat and embeddable assistant that answers from selected Usable workspaces.
Developers can connect compatible AI tools through MCP and build internal workflows with the API.
Enough structure for serious use, with deeper controls available for technical teams.
Capture knowledge as reusable source material, then group it so teams and assistants know what they are using.
Prompts and responses used by AI features are not used for model training by supported providers.
Encrypted storage, access control, event logging, and traceable changes support organisational use.
Capture solved problems, standards, runbooks, and implementation lessons so future AI-assisted work starts with context.
Keep the buyer story simple. Give builders and platform teams the paths they need.
Use browser chat or embeds when people need direct answers from selected workspaces.
Connect compatible AI tools when technical teams want memory inside their existing workflow.
Build internal workflows and product experiences on top of approved organisational memory.
Use the Flowcore-backed event trail and transformer model when teams need production-grade data flow and traceability.