CoChat is a collaborative AI workspace built for teams rather than individual users. Instead of giving every employee a separate AI assistant, it provides shared projects, shared chats, team assistants, automations, and access to multiple AI models from providers such as OpenAI, Anthropic, Google, Meta, DeepSeek, Mistral, and others.
The product positions itself as a workspace where AI becomes part of a team’s workflow instead of living in isolated conversations.
Many companies struggle with AI adoption because knowledge gets trapped inside individual chats. One person finds a useful prompt or workflow, but nobody else can reuse it.
CoChat addresses this by making AI conversations collaborative and persistent. Teams can work in the same conversation, share context, compare model outputs, create automations, and manage permissions centrally.
It is especially useful for:
- Research teams
- Agencies
- Startups
- Engineering teams
- Marketing departments
- Organizations concerned about AI governance
Users create projects and invite teammates into shared workspaces. Conversations, files, assistants, and project memory can be shared across the team.
The platform supports:
- Multiple AI models in one interface
- Shared team chats
- Project-based memory
- File uploads
- Citation verification
- Workflow automations
- Integrations with external tools
- Role-based controls for larger organizations
Notable transparency points:
- Some advanced models require paid credits.
- Enterprise security controls are reserved for custom plans.
- Bring-your-own API keys are not currently available.
- The platform is relatively new compared to mature collaboration suites.
- Heavy AI usage can increase costs because premium models are billed based on actual consumption.
