01
Recognizable problem
Privacy, continuity and cloud dependency make standard AI tools less logical for some internal use cases.
Use Case
Running local AI inside your own infrastructure
For organizations that want AI closer to their own environment instead of relying fully on external platforms.
Practical fit Local AI context For teams and organizations
02
Desired outcome
With AITJE Cube and AITJE OS, organizations get a workable local base for AI on their own hardware.
03
What fits here
- Relevant for organizations with stronger control requirements
- Creates a more solid foundation for continuity and ownership
- Fits teams that want to start or scale locally
More use cases
Use Case 01
Finding internal knowledge and policy faster
For organizations with a lot of documents, agreements and internal knowledge that is hard to find quickly.
Open use case
Use Case 02
Turning meetings and conversations into useful output
For teams that do not want to rework everything manually after every conversation.
Open use case
Use Case 03
Working on location or offline
For situations where internet is not a given or should not be the foundation.
Open use case