The chaos of distributed context
Your team deserves better
Context chaos
Sarah's Claude has the latest API docs. Mike's doesn't. Support tickets get answered with outdated information.
Inconsistent answers
Same question, different team members, different AI responses. Customers notice. It looks unprofessional.
Manual syncing
"Hey team, I updated the docs. Make sure to re-upload them to your Claude." Sound familiar? It shouldn't have to be this way.
Onboarding delays
New team members start with zero context. Their AI assistant is useless until someone manually shares all the files.
Shared context, instant sync
Create a shared container for your team. Everyone's AI tools connect to the same source of truth. Update once, everyone's agents have the latest information instantly.
- One container for your entire team
- Updates propagate instantly to all connected tools
- New team members get full context immediately
Built for every team
Engineering
API docs, architecture diagrams, and coding standards in one place. Every engineer's AI has the same context.
Support
Product docs, known issues, and troubleshooting guides. Every support agent gives accurate, consistent answers.
Sales
Product features, pricing, and competitive intel. Every rep's AI assistant is a product expert.