Kanwas targets a specific failure mode in AI-assisted product work: the assistant has no idea what the team has already decided. Strategy docs live in one tool, research in another, and the agent doing the work starts from an empty prompt every time. Kanwas positions itself as the team's context brain, a single workspace where those artefacts stay connected so an agent can act against the organisation's real situation instead of a generic one.
The practical unit is a workspace that holds strategy documents, market signals and the agent workflows that run against them. Because the context is persistent rather than pasted into a chat window, the output is meant to arrive as a sharp deliverable rather than a first draft that a product manager then has to rewrite against knowledge the model never had.
It is aimed at product teams rather than individual users, which shapes the design: the value grows as more of the team's thinking is captured in one place. Teams that keep strategy scattered across personal documents will get less out of it than teams willing to consolidate.
