For organizations
Private on-premise AI for organizations
A complete local-AI workstation path from use-case clarification to a reviewed configuration and handover.
What LLMLab.ee delivers
Work starts by clarifying the use case, models, data volume, user count, and existing IT environment. LLMLab.ee then selects the hardware, assembles the system, configures the agreed local-AI software, and checks the agreed core functions before handover.
- Hardware and memory selection for the agreed workload.
- Computer assembly, operating-system setup, and agreed local tools.
- Compatibility, scope, delivery, and final price confirmed in a written quote.
- An agreed handover checklist with known limitations explained.
Data boundary and privacy
A locally run model can process input on the organization's own hardware without requiring a public AI service. The real data path still depends on the selected model, software, updates, integrations, and network configuration, so it is reviewed explicitly before handover.
- LLMLab.ee does not call a system air-gapped, certified, or compliant with a named regime without a separately evidenced scope.
- Model licences, permitted uses, and organizational data classification must be agreed with the customer.
- Quote-request contact data follows the privacy notice and is not used for model training.
Suitable workflows and limits
Typical starting points include private chat, questions over documents, a local coding assistant, and adapter-based customization of smaller models. The exact model, context length, concurrency, and performance are checked before quote.
- Very large, multi-GPU, or high-concurrency systems need individual architecture, power, and cooling review.
- Full model training from scratch is not presented as a normal small-workstation capability.
- Mac, CUDA, and experimental external-GPU paths are not treated as interchangeable.
Quote process
- Describe the workflow, model class, user count, data volume, and current environment.
- LLMLab.ee responds with clarifying questions and a proposed system path.
- The written quote confirms the exact configuration, availability, scope, total price, and delivery.
- Payment or hardware ordering follows only after the written offer is accepted.
Next steps
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