Teams
Shared institutional memory. New hires plug into the same context as senior staff on day one — no more "ask Maya, she knows."
For teamsShared memory
Shared memory
for shared work.
Onboarding takes hours, not weeks. Institutional knowledge survives turnover, model upgrades, and every new tool you adopt next.
Marketing
Campaigns, brand voice, what worked, what flopped. Every brief starts informed — not from a blank slate every Monday.
Sales
Customer history, prior deals, objections already handled. Every call starts with full context — across the team, not just the rep on the account.
How it might fit
Tiny workflows you can try this week.
Onboarding, in one prompt
Onboarding doc and decisions log in Organise, scoped via Teams. The new hire's first chat with Claude carries the same context a founder does.
Claude
ChatGPTBriefs that already sound like you
Last quarter's campaigns and the brand voice doc go into Organise. Shared via Teams, ChatGPT writes briefs the team does not have to re-edit.
ChatGPTClaudePre-call, pre-loaded
Call transcripts and objection-handling playbooks in Organise, shared via Teams. Each rep's pre-call brief from Gemini comes with the deal history already in scope.
GeminiClaudeOther use cases
Pick your starting point.
For you
Start using xysq.
Sign in, connect your favourite AI tools, and start carrying your context across them. No setup, no migration.
Open the app→For developers
Build with xysq.
API, SDKs, and reference architectures. Drop persistent memory into your agents in minutes — no rebuild required.
Read the docs→For businesses
Bring xysq to your team.
Institutional memory across Slack, Drive, Notion, and the rest. Your team’s knowledge, queryable from any agent.
Book a call→