Data sovereignty
Documents, vector search, logs and local models can run entirely in your own environment.
Local-first AI · on-premise or hybrid
Local AI agents for business. Use knowledge without giving up control.
PaulinAI combines local AI models, approved company knowledge and controlled agents in a secure working environment for SMEs and industry.
For SMEs & industry
Local AI becomes productive when knowledge, permissions and processes work together.
A local language model alone does not solve a business process. PaulinAI adds knowledge sources, roles, logs, approvals and P-Apps. This creates an accountable AI platform that starts with one clear use case and grows step by step.
Permissions before answers
Sources are filtered by user, role and group before search results enter the AI context.
Cloud is optional
External models and web search are enabled transparently only for explicitly approved tasks.
From chat to process
Agents connect knowledge with workflows, applications and human approvals.
Accountable
Sources, relevant steps and approvals remain traceable and documented.
Modular growth
P-Apps and connectors are combined to match the department, process and security requirements.
Introduce with control
From a defined process to productive local AI.
- 01
Select a use case
We start with a specific bottleneck and measurable business value.
- 02
Classify data
Sources, roles, storage locations and permitted models are defined clearly.
- 03
Integrate locally
Knowledge and applications are connected securely with minimum privileges.
- 04
Expand under control
After the pilot, further P-Apps, teams and automations can follow.
Practical use cases
What companies can improve in concrete terms.
Company knowledge
Find and use approved documents and data faster, with source references.
Technical support
Connect incidents, manuals, maintenance knowledge and previous solutions in one agent.
Document processes
Capture, review and classify content, then prepare it for subsequent steps.
Related solutions
Continue with the topics that fit your project.
Frequently asked questions
Clear answers.
Can PaulinAI run entirely locally?+
Yes. Knowledge stores, search, logs and local models can run in your own infrastructure. External services remain optional.
Is local AI automatically GDPR-compliant?+
No. Local operation reduces data transfers but does not replace role, deletion, purpose and security concepts. PaulinAI provides technical controls; compliance depends on implementation and use.
Do we need to introduce a large AI platform immediately?+
No. A clearly scoped pilot with real value, defined sources and a small number of roles is usually the best starting point.
Which process is suitable for local AI?
Together we assess the data, value, security needs and a realistic first productive use case.