Bordet is an AI collaboration platform for teams to run multi-LLM boardrooms, with roles, shared memory, and an auditable decisions log.
Roles come and go as your work needs them. You stay at the table.
Powered by the models you already trust
Four steps from a cold question to a decided, documented outcome, with your AI team and your people in one place.
Pick your AI team, a Strategist on Claude, a Maker on GPT, a Critic on Gemini, or start from a template. Mix any models, give each a role.
Ask one member, several, or @everyone. They respond in parallel and can hand off to each other, like a real round-table, not a single chatbot.
A shared, persistent memory keeps every member on the same page across the whole project, no re-pasting context between tabs.
Every call lands in an auditable decisions log the whole team can see, so nothing gets relitigated or lost.
Bordet's keystone memory keeps the project state, constraints and history in sync for every member, across every session. No re-pasting context between tabs.
An append-only record of what was decided and why, the institutional memory your AI team actually keeps, so nothing gets relitigated or lost.
Invite teammates into the same boardroom. People and models collaborate in one shared thread, in real time.
Each member has a clear role and the human stays the decision-maker. Address members by name; they build on, and challenge, each other.
Run Claude, GPT, Gemini and Grok in one room and let the best model own each role. Model-agnostic, no key juggling.
Connect a GitHub repo or a folder and let an agentic member make real changes you review, code, drafts, docs.
One model gives you one perspective and forgets between sessions. Bordet seats several models, and your teammates, at the same table, with a memory that persists and decisions that are recorded. You stop couriering context between tabs and start getting cross-checked answers you can trust.
No re-pasting. Your AI team remembers the project across sessions, and every decision is on the record.
A shared room where several large language models (e.g. Claude, GPT and Gemini) work together with you on one project, each with a role, a shared memory, and an auditable decisions log, instead of you copying context between separate chatbots.
Bordet is model-agnostic. You can mix models from OpenAI, Anthropic, Google and xAI in the same room, and assign different models to different roles.
A single chatbot gives one model's perspective and forgets between sessions. Bordet puts multiple models and your teammates in one room with shared memory, so you get cross-checked answers and the context carries across the whole project.
Yes. Invite people with a link and they join the same boardroom as the AI members, in real time, sharing the same memory and decisions log.
Your rooms are private to you and the people you invite. Messages are processed by the AI providers you choose to generate responses; see our privacy policy for details.
Open a multi-LLM boardroom in seconds, no setup, no key juggling. Bring your models, invite your team.