Agencies, consultancies, accounting and advisory firms, architecture and engineering shops, your work product and client information are your business. Private AI puts them to work without sending them to anyone else's cloud.
You may not be bound by HIPAA or CMMC, but you still hold things you would rather not hand to a third party: client files, proposals, financials, designs, and the accumulated know-how that makes your firm worth hiring.
Public AI tools want exactly that material to be useful, and they process it on infrastructure you do not control. A private model gives your team the same leverage while the work stays inside the firm, and it can be fine-tuned on your own templates and history so it is genuinely better at your work, not just generically capable.
First drafts of proposals, reports, and client deliverables in your voice and templates, ready to refine.
Summaries and analysis across long documents, contracts, and your own past engagements.
Answers over your accumulated work product, so expertise is searchable instead of trapped in folders.
Intake, classification, and routine processing handled by agents, with a human in the loop where it matters.
A single GPU can serve a small firm; a larger box runs a model across the whole practice. You start small, own the hardware, and grow into it.
