Local AI tools: from your own computer to on-premise platform

Use AI in your own environment

Local AI processes requests with models in your own environment. This can be a single computer for personal tasks or a central server your team accesses in the browser.

For your own business solution, we connect models, document search, and storage to existing applications. You decide which data is used and which access your team receives.

Three typical paths for local AI

• Single workstation: Use a locally executable model for your own tasks and documents.
• Internal AI server: Provide your team with a shared application with central login and access rights.
• On-premise platform: Connect multiple data sources, applications, and teams in your company environment.

Want to outsource operation? Your own cloud environment in Germany or the EU combines data location and managed infrastructure. Discover the possibilities with Private AI and on-premise AI.

Select capacity to suit your team

Model size, document volumes, and concurrent users determine what hardware your AI needs. A short personal assistant has different requirements than a knowledge system for multiple departments.

Use typical requests to compare response times, quality, and load. For your business project, we support you with architecture and capacity planning. This gives your team an environment that fits its tasks.

Include your own documents without losing track

For an internal knowledge assistant, a search across approved documents is often combined with a language model. Clarify beforehand which file formats are needed, who may see a source, and how updates are adopted. A model does not need to be retrained just because it should consider a current manual.

Test a documented question, a question with conflicting sources, and a question without matching information. A good result states the basis and shows limits. You can find more selection criteria in our ChatGPT alternative for businesses.

Checklist before use in the team

• Your AI works with your team's technical terms and documents.
• Users gain access to the data intended for them.
• Sources make results traceable.
• Updates and stored versions support further development.
• Backups and recovery are set up and tested.
• Data flows and external connections are documented.
• Contacts support operation and rollout.

Want to introduce local AI in your company? Discuss your solution with LXI. A pilot makes the benefit tangible for your team.