One shared context layer for people and AI agents.
The context brain is the basis for everything AI: it gives people and agents the latest company knowledge to work from, in chat, in copilots, in portals and in automated workflows. Output stays in sync with your business, and knowledge becomes easy to reach for everyone.
Three things change immediately.
Better AI output
Models and agents work from the latest decisions, data and insights instead of stale prompt context.
A queryable company
Anyone can ask a question across the company and get the current answer, without chasing files or colleagues.
Traceable answers
Every record carries its source, owner, scope and review status. Any answer can be inspected back to its origin.
From raw knowledge to usable context.
Five layers turn scattered company knowledge into governed, agent-ready context.
Turn raw input into clean, searchable context. The engine decides what gets stored, how it is represented, who can see it, and how it stays fresh.
Store and structure the processed knowledge in a company-owned database. Containing readable digests, chunks, embeddings, versions and access rules.
Supabase · Postgres · pgvector · row-level security
Give every employee and agent one secure gateway to your company’s knowledge. Permissions and audit trails built in.
Search & retrieve
Find the relevant pages, facts and links before an agent answers.
Ingest & update
Capture new knowledge and write approved context back in.
Access for everywhere. Claude Code, ChatGPT, custom agents, copilots and workflows can all plug into the same governed knowledge layer
Three insights keep coming back across the last three workshops:
- 1Partners ask first for co-branded onboarding material.
- 2Deals move roughly twice as fast when legal review starts in week one.
- 3Quarterly check-ins are the strongest expansion signal.
The operating rules that keep the brain trustworthy.
Once the architecture is agreed, we define the governance underneath it: source of truth per domain, full mirror versus condensed note, canonical versus signal, conflict review, private memory and human approval.