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Palette is the shared context layer for organizations using AI.
It connects to your tools, talks to your people, and maintains a living context map of your organization. Think of it as a structured, plain-English representation of how your company actually works: who's here, what they're focused on, how decisions get made, what's in flight.
Your tools show what happened. Your team knows what it means. Palette connects the two.
Your team reads from it to stay aligned. Your AI tools read from it via MCP to start every session with real organizational context, not a blank slate.
Your company's knowledge is scattered. It lives in Slack threads, Linear projects, Notion docs, meeting notes, and people's heads. No single person holds the complete picture, and no single tool does either.
Now add AI to the mix. Every time someone on your team opens Claude or ChatGPT, that tool starts from zero. It doesn't know what your company is building, who's responsible for what, or what was decided last Tuesday. So people copy-paste context, re-explain strategy, and hope the output is relevant.
This doesn't scale. And it gets worse as you grow.
AI-forward companies, typically 30 to 250 people, that are actively rolling out AI tools across their team and hitting the context wall. You've got the tools. You've got smart people. What's missing is the connective tissue between them.
Ready to try it? Follow the Quick Start to get set up in minutes. For a deeper look at the architecture, see How Palette Works.
Wikis go stale. Dashboards show metrics. Status tools create reporting work. Palette is none of those.
Connecting tools gives you data. Your org needs context. Palette maintains that context automatically, keeps it current, and makes it readable by both humans and AI. One person updates, every tool and every teammate benefits.
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