We build DeepWiki-style semantic documentation layers for your organization — markdown wikis of your tools and systems that enable Mob Spec-driven Discovery workflows where teams and AI reason together.

Your tools fragment context — Miro boards, decks, docs, research PDFs — they all need to be machine-readable. When AI can't see across them, it operates blind. Discovery work happens in Miro, documentation in Confluence, delivery in Jira, and none of it connects or enables AI to reason about your systems.
This isn't an AI problem — it's a context problem. Without machine-readable documentation of your tools and systems, teams can't collaborate effectively with AI, and organizations lose institutional memory with each cycle.
We build DeepWiki-style semantic documentation layers for your organization — complete markdown wikis of your tools and systems that become machine-readable discovery artifacts. This documented layer enables Mob Spec-driven Discovery workflows where your team and AI reason together using shared context.
Complete documentation of your systems, tools, and architecture in structured markdown. Machine-readable artifacts that preserve institutional memory and enable AI collaboration.
DeepWiki-style semantic documentation that connects code, tools, APIs, and architecture decisions. A unified intelligence graph across your entire system landscape.
Set up your documented layer to enable Mob Discovery workflows — where PM, Designer, Engineer, and AI reason together using shared context. AI becomes your always-on teammate.
Everything in markdown, versioned, queryable — PRDs, opportunity trees, hypotheses. When humans and AI share the same artifacts, both can reason together effectively.
Git-style version control for your documentation layer. Every change tracked, branchable, mergeable. Treat your system documentation with the same rigor as your code.
A complete semantic documentation layer for your organization — both the markdown wiki of your tools and the Mob Spec-driven Discovery workflows it enables. Context that compounds intelligence instead of fragmenting it.

Let's discuss how we can build a semantic documentation layer for your organization — a markdown wiki of your tools that enables Mob Spec-driven Discovery workflows where your team and AI reason together.