Why We're Building Palette
A short introduction to Palette β a shared context layer for your team and your AI, built by a team of six in Copenhagen.
Hello world. We're here.
We've been here for a while, actually. Just busy building. Still are, so consider this a short introduction. We'll make our splash later. Maybe.
We're Palette. A team of six based out of Copenhagen. We started building an AI company and pretty quickly found ourselves using AI for everything. Engineering, ops, go-to-market. New world, new way of working. But with that came new problems. New challenges. And if we're being honest, new opportunities we didn't expect.
We started building tools for ourselves to deal with it. Small things at first. Then we started talking with friends at other companies, our early design partners, and it turned out they had the same problems. And wanted what we were building. So you can see where this is going. What started as internal tooling became the product. New angle. New focus. A problem worth solving properly.
You might have experienced it yourself.
You're using AI across your team. Claude, Cursor, ChatGPT, whatever works. But every session starts the same way. Your AI doesn't know your org. Doesn't know who's on the team, what they're working on, what was decided last week. So you explain. You copy-paste. You give it the context it needs before it can actually help. Every person, every tool, every day. That adds up fast.
And it's not just the AI. Your team has the same problem. The real picture of what's happening lives in people's heads. Not in your tools. Not in your wiki. You can search Slack, scroll Linear, dig through Notion, and still end up pinging someone to ask what's actually going on.
That's the gap. Context. Not data, not search results. The interpreted, current understanding of how your org actually works.
That's what we're building. A shared context layer for your team and your AI. Palette connects to your existing tools, reads the signals, and maintains a living context map of your org. Who's here. What they're working on. How decisions get made. What's blocked. Plain English, always updating. Readable by your team, consumable by your AI tools.
Your tools show what happened. Your team knows what it means. Palette connects the two.
Who we are
We are Lars, Christian, Steffen, Brian, Raul, and Tiffany. We've worked in startups, scaleups, consultancies, and large tech companies. Now we're working out of Copenhagen building the context layer we wished we had at every one of them.
