Palette
Palette provides a desktop application that lets teams work with AI coding agents like Claude Code, Codex, and Gemini on shared files and folders. The platform creates a durable company context layer that persists across projects and agent choices, enabling non-engineers to adopt AI workflows without turning their work into software projects. Palette Desktop is available for Mac, with Windows support in development.
Funding
Raised to date
€3MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $3.3Macross 1 round
DKJBJGJG+7€3M · Pre-Seed
Announced Aug 2026 · from article date
Disclosed cumulative: $3.3M
Founders
Founder details are not available yet.
Product
Problem
Teams adopting AI agents often re-explain their work across sessions, and knowledge gained by one person rarely benefits others. As AI models rapidly evolve, companies struggle to build durable workflows around any single agent without being locked into a specific model's limitations.
Solution
Palette provides a desktop application that lets teams work with multiple AI agents—including Claude Code, Codex, Gemini, and Mistral—on the same shared files and folders. The platform maintains a living context library that keeps company knowledge current, allowing people and agents to build on the same foundation across projects and teams. Users can choose the best agent for each task, work in separate sessions, and review changes before they save back. Palette also supports shared skills that work across agents, connections to company tools, and handoffs between AI sessions, making AI-native work accessible beyond engineering teams.
Target Audience
Primary users are product managers, engineers, and cross-functional teams at companies seeking to adopt AI agents across non-engineering functions, as well as design partners exploring AI-native workflows.
Features
- Desktop application for Mac with Windows support in development, enabling work with Claude Code, Codex, Gemini, Mistral, and other supported agents
- Shared folder structure that creates one durable context layer for the whole team, including projects, notes, and decisions
- Session-based workflow where users can switch agents per task and review changes before committing them back to files
- Living context library that stays current and preserves company knowledge across sessions and team members
- Shared skills that work across different AI agents, eliminating the need to rebuild workflows when switching models
- Connections to company tools and handoffs between AI sessions for seamless multi-step workflows