Palette context layer

The Palette context layer is a living map of your organization that your AI tools can read.

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. The context layer 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.

The problem it solves

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.

Who it's for

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.

How it works

1. Connect your tools. Slack, Jira, Linear, GitHub, Notion, Calendar. You pick which channels and projects.
2. The context layer builds your context. It synthesizes signals from your tools and your team into a living context map. Connecting tools takes a few minutes. Building the initial context can take up to 30 minutes depending on data volume.
3. Install Palette MCP in your AI tools. Claude and ChatGPT.
4. Your AI tools now start with context. Every session begins with your org's real state, not a blank prompt.