Personal & Private LLM Development

Your knowledge. A system built around your work.

A private LLM solution combines a model, a document retrieval layer, a usable interface and deployment controls. It does not necessarily mean training a new foundation model from scratch. We start with the task and select prompting, retrieval or fine-tuning based on evaluation.

What can we build?

• Personal assistants for searching notes, organising documents and preparing drafts.
• Internal knowledge assistants with source references and role-based document access.
• Domain-specific assistants connected to approved business tools and human review steps.
• Local or private-cloud deployments, subject to hardware, licensing and operational requirements.

How the project works

We define your use cases, review available data and processing terms, establish a baseline and test a representative prototype. The handover covers access controls, evaluation results, updates and recovery procedures. External integrations are scoped separately so you know which actions require internet access or third-party services.

Can it work offline?

Local inference and local document retrieval can work without internet when the hardware and chosen model support the task. External search, cloud services and connected business applications still need a connection. Offline operation must be tested for the intended workflow.

Does private mean risk-free?

No. Privacy depends on deployment, permissions, logs, backups and provider agreements. Models can still make mistakes. We combine model evaluation with security testing and human review for consequential work.