That is why QBIT42 follows a consistently modular approach: language models, tools, skills and data storage are independent of one another. Organizations can integrate their own or external models, develop their own tools and continue operating their AI processes independently of individual model providers.
A key element of this approach is portability. Skills and Tools developed with QBIT42 remain the property of the users and can be exported and taken along when changing providers or platforms.
This gives organizations the freedom to build their AI strategy for the long term without becoming fully dependent on a single technology ecosystem.
Even when changing infrastructure, their own tools and workflows remain available.
