Company Brain · memory
Your company's memory, made operable.
Company Brain rebuilds your company's knowledge as a graph you can read, edit, and operate. The context that lives in people's heads, scattered docs, and old threads becomes one connected asset your team and your AI can actually use. Not a black box.
Scattered knowledge, rebuilt as a graph.
How it works
- It maps where your knowledge actually lives, across docs, threads, tools, and the heads of the people who hold it.
- It rebuilds that into a connected graph, structured and navigable, instead of a pile of files nobody can find.
- You read it, edit it, and operate it. Your AI queries the graph instead of guessing, so it stops getting your company wrong.
Why it holds
A small set of data you own, curated by someone who knows what matters, beats a large set you scraped.
Easy to claim, so here is the smallest place it holds. This vault runs my whole operation. Every decision, every post-mortem, every reason behind an architecture choice, typed and linked by hand. Next to what a frontier model trained on, it is a rounding error. It is also the only thing that can tell you what I decided in March and why.
Two things make that work, and neither one is the model. The data is owned and typed, so it stays mine and stays readable when the tools change. And a human stays on the curation, which is the part everyone skips. Capture without curation is just a bigger pile.
That is your company in miniature. Your decisions, your post-mortems, your customer calls, the real reason you chose the architecture you chose. Small, owned, and the only record that explains how the business actually works. Right now it sits in threads and in three people's heads with nobody curating it, while your AI answers from the open internet and gets you confidently wrong.
Start free
See where your knowledge hides first.
Start with the free Memory Audit. Twelve questions, one score. A map of where your knowledge lives right now, and where it quietly disappears. It is step one of Company Brain.
Read the position paper → Memory Engineering, grounded in the research.