Some work starts privately. Some work needs collaboration. TeamUp supports both. Users can keep personal chats organised in projects, work inside shared team spaces, invite teammates by email, and move between individual thinking and shared discussion without switching tools.

Because messaging, team chats, and shared workspaces live in the same product, collaboration stays closer to the work itself. That makes it easier to keep context, decisions, and next steps connected.

TeamUp is a Bring Your Own Key (BYOK)-first AI workspace. Users are expected to connect their own API keys for supported providers, giving them the flexibility to choose the models that fit their work instead of being locked into a single AI setup.

That approach gives users more control over both workflow and cost. If a person or team already has access to preferred providers, they can use that access inside TeamUp while keeping projects, chats, files, team spaces, and collaboration in one organised workspace — without relying on a large flat subscription just to use AI.

For users who do not want to bring their own keys, TeamUp also includes managed options in beta. The platform currently provides a 1,000,000-token allowance on a standard chat model (currently DeepSeek) and offers credits for Google Vertex - Gemini multimodal chat, image and video models inside the app.

TeamUp is deployed on Google Cloud Platform and uses Cloud KMS (Key Management Service) technology to securely store and manage users' API keys. That means your credentials are protected with enterprise-grade security, encryption, and access controls built into the platform infrastructure.

TeamUp Assistants help users generate more reliable answers and content by grounding AI responses in the documents they upload. Instead of relying only on general model knowledge, Assistants use user-provided data to answer questions with stronger relevance, better context, and more useful output.

Users can create their own Assistants by defining a role, writing a task description, and uploading the documents the Assistant should use. Once set up, they can ask questions in natural language and receive grounded answers that often include citations to the retrieved source material.

This makes Assistants especially useful for work that depends on accurate internal context — such as manuals, policies, knowledge bases, PDFs, process documents, and other structured or unstructured sources. Newly ingested content can be reflected in answers, helping users work with information that stays current inside their own Assistant.

Built on Google’s RAG Engine, TeamUp Assistants prepare uploaded content for semantic retrieval and grounded answering. By retrieving relevant context before generation, Assistants are designed to reduce hallucinations and produce answers that stay closer to the source material provided by the user.

Users can also share their Assistants with teammates, making it easier to reuse trusted knowledge across a team. Once shared, an Assistant can be used in team chats and in individual projects outside team conversations, so the same grounded knowledge stays available wherever the work happens.

This helps teams stay aligned, avoid repeating setup, and keep answers consistent across shared and personal workflows. It is a simple way to turn one Assistant into a reusable team asset.

TeamUp may use Google sign-in and Google API access to support user-requested workspace features. This can include signing in with Google, connecting to Google Drive, selecting files for AI context, working with Google Docs or Sheets, and using user-selected content in AI chats or AI Assistants.

TeamUp uses Google user data only to provide the features requested by the user. We do not sell Google user data, use it for advertising, or use Google user data to train generalised AI models.

Users can revoke TeamUp’s Google access at any time through their Google Account permissions.

TeamUp AI Workspace is a product by ai4work. TeamUp is not affiliated with or endorsed by Google. Google, Google Cloud, Google Drive, Google Docs, Google Sheets, Gemini, and Vertex AI are trademarks of Google LLC.

When you need more than just a quick answer, the Research Agent is built to help you dig deeper. It acts as your dedicated research assistant, helping you gather information, summarize long documents, and explore complex topics without leaving TeamUp.

Instead of opening dozens of tabs and losing track of your notes, you can use the Research Agent to pull together facts, compare data, and organize your findings directly into your projects. It is perfect for market research, project planning, or anytime you need to turn scattered information into a clear summary.

Learning a new workspace should not feel like a chore. UpBuddy is our built-in platform agent, designed to help you get the most out of TeamUp from day one.

Think of UpBuddy as your friendly, always-available guide. Whether you want to know how to connect your own API key, how to share an AI Assistant with your team, or just how to organize your folders, UpBuddy is there to answer your questions instantly. You don't have to go digging through help articles—just ask UpBuddy, and get back to your work.

TeamUp is live in beta with practical core workflows ready to use today. Built-in feedback through Pulse lets users report issues, suggest improvements, and help shape what comes next directly from inside the workspace.

The current focus is to stabilise the product through real user feedback, strengthen the core experience, and continue development based on user requests and planned improvements. TeamUp is being refined in the open, with each round of feedback helping move the product closer to a stronger post-beta release.

TeamUp gives users one place to organise projects, use AI, work with files, message teammates, and collaborate in shared spaces — with BYOK-first flexibility at the core.