- Companies with scattered internal documents that are hard to search
- Teams that need a knowledge assistant without sending sensitive data to public AI
- Operations that want to automate classification, summaries, or approval flows
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Local AI
Private AI that understands internal company knowledge
For teams that want AI over internal documents, data, and workflows with stronger control over privacy, user access, and where information is stored.

Working overview
Business context comes before the solution.
For teams that want AI over internal documents, data, and workflows with stronger control over privacy, user access, and where information is stored.
- Use case, data source, security, and infrastructure assessment
- Knowledge base creation with RAG and user access controls
- Local model integration with documents, databases, APIs, or internal workflows
- Answer quality evaluation, observability, and admin training
- Local AI prototype or app ready for user testing
- Structured ingestion pipeline and knowledge base
- Deployment, security, evaluation, and model operations documentation