Public Roadmap for MAIA
Last updated 1 day ago
We are constantly working to make MAIA the leading AI platform for knowledge management in organizations.
That is why we release relevant new features every few weeks. You will always find the most recent ones in the release notes.
✅ Recently shipped
These items were on the roadmap until recently and are now available:
- Workflows and Personal Memory – release 1.24
- Custom Instructions – release 1.23
- File generation and Outlook integration – release 1.22
🚧 In active development
Our goal for the next releases: MAIA should not just answer individual questions well, it should be the place where a team's work comes together. The knowledge about a project, the recurring procedures, and the systems your work already lives in.
📦 Features we are actively working on
Projects - One shared place for everything that belongs to a single project: the files, the knowledge about it, and the chats around it. Files and project context are shared with your team, your chats stay private. Every chat in the project automatically knows the project files and the key decisions, so you do not have to explain them again each time. Decisions, requirements and lessons learned are captured in seconds, typed or dictated. Projects can be shared, handed over and archived without anything getting lost.
Answer effort and model selection - Instead of several technical toggles there will be a single choice: how fast or how thorough MAIA should be. Everyday questions become noticeably faster, while the full depth stays available for complex research across many sources. MAIA picks a suitable model automatically, or you select one yourself.
Integrations - MAIA will work directly with the systems your work already lives in. Connections are built on MCP, the open standard for connecting AI applications to external systems. Microsoft 365 and Atlassian come first, and a wide range of further MCPs will follow over the coming months. Your administrators decide which integrations are permitted in the workspace, and each person connects their own account. MAIA sees exactly what you are allowed to see yourself. Write actions always require your explicit confirmation before they are carried out.
🔒 Sovereignty
For many organizations it matters not only what an AI can do, but also where it runs and who operates it. We are working on this at two levels.
MAIA already runs exclusively in European data centers. We rely on server capacity from Microsoft Azure, Google Cloud, and Amazon Web Services, with a contractual guarantee that the service is hosted in Europe and that no data is transferred to the U.S.
We want to go further. Our goal is for MAIA to be able to run entirely on German systems in the future. To achieve this, we are relying on open-weight models that make us independent of the major hyperscalers.
🔮 Within the next weeks
MAIA is already the smartest way for organizations to access their knowledge. We are not stopping there, and we are working on making sure the results reach you in the form you actually want to use them in.
🧱 Expansion: results, presentation and everyday usability
Charts in chat - Figures from your documents or from the conversation directly as a finished chart, instead of a table you rebuild somewhere else. Ready to copy and download.
Image generation - Create images directly in the chat and refine them in the conversation, without switching tools.
Formula rendering - Mathematical formulas are typeset cleanly and readably in the chat instead of appearing as raw text.
Many small improvements - More file formats, a copy button for code sections, drag and drop into newly created Data Collections, a collapsible sidebar, sharing chats and prompts within the workspace, a profile picture for your workspace, and a direct way to report a bug or request a feature from inside MAIA.
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