Private AI for professional firms

Run AI models in your office, not in someone else's cloud.

Choose the models your team wants, tell us how many people will use them, and see roughly what hardware you'd need and what it costs. Your clients' tax returns, financials and controlled information stay on equipment you own.

Rough estimate only. This is a planning tool, not a quote. Real performance depends on your workloads, network and configuration. Mojave confirms the numbers before you buy anything.

1 Your team

How many employees?

How many of them will use AI on a typical day?

60%

How heavily will they use it?

LightA few questions and email drafts a day RegularDrafting, summarizing and research most days HeavyLong documents and workflows all day

2 What will they use it for?

3 Which models?

Pick one or more. "Latest" is the newest release; "Previous" is the generation before it, often a bit slower but well-proven.

4 Hardware & costs

GPU edition

Best fitWe pick the cheapest setup that keeps up WiCi One 5060 Ti16 GB · $2,599 WiCi One 509032 GB · $9,999

Cloud AI seat price you'd otherwise pay

$/ user / month

Electricity rate

$/ kWh

Include Mojave setup & security hardeningNetwork isolation, access control, logging and updates, aligned with your WISP or CMMC requirements. Quoted per engagement.

Why run AI privately?

Client data stays in the office

Prompts, documents and answers never pass through a third-party AI provider. That makes it much easier to meet your Written Information Security Plan, FTC Safeguards Rule and IRS Publication 4557 obligations.

Fits controlled environments

For defense contractors handling CUI, an on-premises model avoids sending controlled information to commercial cloud AI services. Mojave scopes it into your CMMC boundary.

Fixed cost, no per-seat creep

You buy the hardware once instead of paying monthly per-user subscriptions that grow with headcount. Open-weight models have no per-token fees.

Works with the tools you have

WiCi One provides an OpenAI-compatible API, so many existing chat apps, document tools and integrations can point at it instead of the cloud.

How the estimate works (assumptions)