01
Multiple AI models
Work with different AI systems without making your project's knowledge dependent on a single model or provider.
Collaborative AI Workspace
Turn AI conversations into shared project knowledge.
CAWbase is a collaborative AI workspace where teams work with multiple AI models while keeping conversations, context and knowledge connected to the project.
The problem
Useful knowledge, scattered everywhere
Teams increasingly work with ChatGPT, Claude, Gemini, Copilot and other AI systems. These tools are useful — that's not the problem.
The problem is that the knowledge those conversations produce stays fragmented across people, conversations, tools and models. A decision made in one chat is invisible to the rest of the team. Context gets re-explained from scratch every time.
A few conversations from this week
- Engineering
ChatGPT Chose Postgres over Mongo for the billing service.
- Product
Claude Customers want CSV export before SSO.
- Design
Copilot Two onboarding directions, no decision yet.
- Support AI
Same rate-limit question, third time this month.
- Engineering Claude
Why the March cache rollback happened.
How CAWbase works
One project. Every model. One shared memory.
People on the team talk to different AI models — each conversation connects to a CAWbase project instead of staying in one person's history. Useful context becomes a knowledge node linked to the project, and those nodes connect to each other, forming a graph rather than a pile of transcripts. Later conversations, with any model, start from what the project already knows.
Your team
- Engineering
- Product
- Design
Different AI models
CAWbase project
Collaboration, context, governance
Shared knowledge graph
Later conversations
Pick up with full context
- Conversations, connected
- Each person's conversation with any AI model connects to the project, not just to their own history.
- Context becomes knowledge
- Useful decisions and context are captured as knowledge linked to the project.
- Knowledge, related
- Knowledge nodes connect to each other, forming a graph instead of a pile of transcripts.
- Reused, not repeated
- Later conversations, with any model, start from what the project already knows.
Core capabilities
What CAWbase gives your team
02
Shared project knowledge
Useful conversations and context become part of persistent, shared project knowledge.
03
Persistent project context
Important context can continue beyond one conversation, one tool or one team member.
04
Team collaboration
People can understand, continue and build upon work produced through AI conversations.
05
Content-aware AI governance
Define how different kinds of information may be shared with different AI providers.
06
Traceability and control
Understand where knowledge came from and how it relates to the project.
Your AI powers the conversations. CAWbase powers the collaboration.
FAQ
Common questions
A few things worth clarifying before you join.
What is a Collaborative AI Workspace?
It's a shared environment where teams work with AI models while conversations, context and the knowledge that comes out of them stay connected to the project instead of a single person's chat history.
How is CAWbase different from using ChatGPT or Claude individually?
Tools like ChatGPT and Claude are excellent for working through individual conversations. CAWbase sits around those conversations to add the project, the collaboration, the persistence, the governance and the traceability — so what one person learns in a chat can reach the rest of the team.
Does CAWbase provide its own AI models?
No. CAWbase is not primarily an AI model provider. It's designed to let your team work with the AI models you already use, while CAWbase handles the project and collaboration layer around those conversations.
What happens to knowledge created in AI conversations?
Conversations that matter to a project can become part of its shared knowledge, so people and AI models can build on them later — instead of that context staying inside one conversation.
How does CAWbase help control what information reaches AI providers?
CAWbase is built around content-aware governance: organizations can define how different kinds of project information should be handled when working with different AI providers.
Get early access
Join the waitlist
CAWbase is currently being built. Leave your work email and we'll keep you updated as it takes shape.