PRIVACY

Local AI runs models on hardware you control, such as a laptop, a workstation or your own servers. Prompts, documents and results stay with you instead of being sent to an outside service.

No. We start with local and private options, and we use hosted AI services when they are the better fit for quality, scale or cost. In those cases we limit what is shared, mask sensitive details where possible and choose providers with clear data terms.

For many focused tasks, yes. Search over your documents, drafting, classification and extraction often work very well with open models. We test on your real tasks before recommending anything, and we say plainly when a larger hosted model is the better choice.

Often less than you expect. Many assistants run well on a modern laptop or a single workstation. We size the model to your hardware and your task, and recommend upgrades only when they clearly pay off.

Yes. We develop custom models and fine-tune existing ones for focused tasks. We start with your data quality, permissions and a baseline, then evaluate results on separate test examples before deployment.

Only when you authorise it for custom model development or fine-tuning. We agree on the dataset, permissions and training environment first. Your information is not used to train shared models or for unrelated projects.

Yes. We connect to the tools and data sources you already use, and we design workflows around how your team works today rather than asking it to change everything at once.

With a short call about your goals. If there is a good fit, we agree on a focused discovery and a prototype before any larger build, so you can judge real results before committing further.