One AI workspace for real operational work
UniDeck brings together chat, files, search, image generation, and model choice so teams can work in one governed place instead of jumping between disconnected AI tools.
AI models available in one interface
workspace for chat, files, and search
token and cost visibility per workflow
Why teams switch
Replace fragmented AI usage with one operating surface
Most teams do not need more AI tabs. They need one place where prompts, files, decisions, and usage stay connected.
Keep work organized by context
Use folders to group conversations, files, notes, and custom instructions around the actual project or team workflow.
Work with the inputs your team already has
Move from plain prompting to conversations grounded in documents, spreadsheets, PDFs, images, and web context.
Choose the right model without changing tools
Switch between reasoning, coding, vision, image, and long-context models inside the same workspace.
What UniDeck includes
Built for daily AI operations, not isolated demos
UniDeck supports the behaviors teams actually rely on once AI becomes part of day-to-day work.
Streaming chat with control
Teams can stream responses, stop generation, regenerate outputs, and stay in control when they need another pass.
Search, file, and image modes in the same flow
Use web search, image generation, and file-grounded conversation without rebuilding context for each task.
Searchable institutional memory
Find past chats and decisions with full-text search instead of recreating the same prompts every week.
Operational benefit
Make AI adoption measurable and easier to govern
When one workspace holds the work, it becomes much easier to manage access, usage, and cost.
Usage is no longer a black box
Track token and cost details at the message level so teams can see what work is efficient and what is wasteful.
Model access can be controlled centrally
Enable or limit model availability by organization instead of leaving model choice entirely unmanaged.
Collaboration scales with seats and roles
Move from a single-user AI setup to a shared workspace with seats, invitations, and role-based access.
FAQ
Common questions
Who is this page for?
Teams that want AI to be part of repeatable work, not just occasional experimentation. That usually includes operations, enablement, support, research, and internal knowledge teams.
Can the workspace handle both research and execution?
Yes. UniDeck combines chat, web context, file grounding, and tool-based actions so teams can move from finding information to acting on it.
Do teams need to commit to one model?
No. UniDeck is designed for model choice. Teams can select models based on the task while keeping governance and context in one place.
Next step
Start with a workspace your team can actually run
Bring chat, files, search, and model choice together before AI sprawl becomes harder to control.