Projects

Collaborative AI work needs structure.

Projects consolidate documents, data, and knowledge in one place. This way, teams can collaboratively work with AI on a clean, shared knowledge base.

Plan a solution

Plan a solution

Test now

Test now

Test now

Test now

7 days of free access to

neuland.ai HUB

  • Project Growth 2026

    366 Chats • 262 Documents

    Project Growth 2026

    366 Chats • 262 Documents

  • Social Media Guides

    21 Chats • 65 Documents

    Social Media Guides

    21 Chats • 65 Documents

  • Customer file: Müller GmbH

    116 chats • 41 documents

    Customer file: Müller GmbH

    116 chats • 41 documents

  • Product launch Q2

    211 Chats • 33 Documents

    Product launch Q2

    211 Chats • 33 Documents

  • Internal Policies

    21 Chats • 65 Documents

    Internal Policies

    21 Chats • 65 Documents

  • Competitive analyses

    29 Chats • 64 Documents

    Competitive analyses

    29 Chats • 64 Documents

  • Employee Onboarding

    38 Chats • 14 Documents

    Employee Onboarding

    38 Chats • 14 Documents

  • Sales Pitches

    138 Chats • 28 Documents

    Sales Pitches

    138 Chats • 28 Documents

  • IT system documentation

    108 Chats • 42 Documents

    IT system documentation

    108 Chats • 42 Documents

  • Management Reports

    61 Chats • 361 Documents

    Management Reports

    61 Chats • 361 Documents

  • HR processes

    42 Chats • 23 Documents

    HR processes

    42 Chats • 23 Documents

  • ESG & Sustainability

    36 Chats • 62 Documents

    ESG & Sustainability

    36 Chats • 62 Documents

AI PROJECTS IN THE COMPANY

Where AI work gets a solid framework

Shared knowledge. Clearly organized.

Bundle documents and content in clearly structured project spaces. Information can be combined, structured, and searched purposefully.


All participants work with the same knowledge base for consistent results.

AI work in the team

Projects are designed for collaborative AI work. Colleagues work together with documents and collections in a shared workspace.


The AI accesses the entire context and helps to utilize knowledge.

Seamlessly connected to your systems

The HUB can be directly connected to your business tools and "talks" with their content.


Complex system landscapes and legacy systems can also be integrated.

All integrations

All integrations

All integrations

All integrations

This is how projects work in the neuland.ai HUB

step 1

Create project

Start a new project, give it a name, and create a clear framework for your topic.


The project forms the common basis for documents, data, and AI interactions.

step 2

Consolidate knowledge

Add relevant documents and data sources needed for your project.


Internal files, external sources, and connected systems can be combined in a structured way.

step 3

Working with AI

Create project-specific chats that automatically access the underlying knowledge base.


This results in precise answers and outcomes in the correct professional context.

step 4

Use in the team

Share projects with colleagues or entire teams. Everyone works from the same knowledge base and can jointly develop results.

step 1

Create project

Start a new project, assign a name, and create a clear working framework for your topic.


The project serves as the common basis for documents, data, and AI interactions.

step 2

Consolidate knowledge

Add relevant documents and data sources needed for your project.


Internal files, external sources, and connected systems can be combined in a structured way.

step 3

Working with AI

Create project-related chats that automatically access the underlying knowledge base.


This leads to precise answers and results in the right professional context.

step 4

Use in the team

Share projects with colleagues or entire teams. Everyone works from the same knowledge base and can jointly develop results.