Y Combinator-backed Hyper has launched a "company brain" that watches a team's activity across Notion, Slack, email, Cursor and Claude Code, then feeds cleaned-up context back into those same AI tools on every turn.
The bet, from founders Shalin Shah and Kanyes Thaker, is that the binding constraint on AI at work is not model quality but missing company knowledge: the stuff stuck in people's heads, stale docs and one-off chats with AI. Hyper's agents dedupe and synthesise all of it into a shared, live picture and inject it at inference time, so every teammate's tools get the same context instead of each person re-explaining the company.
It is a crowded idea, with per-user memory layers shipping constantly. The open question is whether team-wide, always-on context injection earns trust faster than it leaks the wrong thing into the wrong chat.