Connect your knowledge and collaborate in Projects

Give your AI assistant the right context for every conversation with dedicated Projects

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Helping teams work with AI from day one

Work smarter in dedicated spaces

Group related work in Projects where the AI knows your context and thinks like your team

Smart organization

Find what you need, when you need it

Create dedicated spaces to organize AI chats and Pages by teams, clients, initiatives, or any way that makes sense for your team.

Color-code folders, search through conversations by date or participant, and turn chats into trackable tasks that your team can work on together.

Built-in intelligence

The AI that knows your context

No need to set the focus for each chat. Insert files, web pages and guidelines to your Projects once.

From product specs to brand books and legal documents - the AI automatically brings relevant context to every conversation.

Access control

Work together, stay aligned

Give Project access to the right team members - they can all contribute to building your knowledge base.

Keep everything accessible to your teammates and easily find what you need with powerful filters.

Simplify the path to extreme productivity

Get started with Team-GPT in 3 simple steps

Discover Use Cases

Explore our library of AI use cases tailored to your industry and team needs

Customize & Collaborate

Modify use cases to achieve your specific goals and collaborate seamlessly with your team

Implement & Scale

Deploy the use cases across your organization and watch as AI transforms your productivity

Successful client use cases

Team-GPT helps boost productivity in teams of all sizes, across dozens of industries

Government

Federal agencyslashes report generation time by 75%, improving citizen services and saving taxpayer dollars

Human Resources

HR team was able to build a prompt library thatsaves about 20 hours of work for each team member per week

Marketing

Global consumer goods companycuts content creation time in half with AI-driven market insights and copywriting

Finance

Financial consultants at  top US bank generate over$30.5B in new assets thanks to the 30% increase in operational productivity

Frequently asked questions

Can’t find what you’re looking for here? Feel free to reach out:[email protected]

How does Team-GPT ensure data security and privacy?

At Team-GPT, data security and privacy are a priority. We offer on-premise deployment and private cloud options, allowing you to choose where your data is stored. You can deploy Team-GPT on your own servers or any cloud provider like Vercel, AWS, Azure, or GCP. This means you have full control over your sensitive data, ensuring compliance with your organization’s security policies.

Can we use our preferred AI models with Team-GPT?

Yes, Team-GPT is model-agnostic. You can choose the AI model that best suits your business needs. Supported models include, ChatGPT by OpenAI, Google Gemini, Claude by Anthropic, Microsoft Azure, and LLaMA.

This flexibility allows you to tailor your AI experience to your unique requirements.

How does the AI assistant know our Project context?

By adding relevant files, web pages, and guidelines to a Project, you provide the AI assistant with the context it needs. The AI automatically incorporates this information into every conversation within that Project, allowing it to “think like your team” and deliver more accurate and relevant responses based on the specific details of your work.

How does access control contribute to data security?

Access control is crucial for maintaining data security in Team-GPT. By controlling who has access to specific Projects and their contents, you can prevent unauthorized access to sensitive information. This helps protect your data and ensures compliance with your organization’s security policies.

What our customers are saying

Team-GPT has transformed our M&A advisory services. We’re now able to handlemore deals, withgreater accuracy and efficiency, ultimately delivering superior results for our clients.

Christian Bax
Partner,
Head of US Operations

Read full story

The key factors to consider are collaboration capabilities, flexibility to adapt to different AI models, avoidance of dependencies on major providers, and robust data security measures. In our experience, Team-GPT effectively met all these criteria, making it the right choice for our needs.