Design mockup. Prices, capacities and terms are indicative placeholders, not offers.
01 Private inference computers

Your team's AI, in your office.

A private AI computer, backed by a named engineer and generous live onboarding. We stay with your team through setup and beyond, on hardware you own.

Runs offline No per-token fees Named engineer Live onboarding included
32 GB32 GB32 GB32 GB
128 GBGPU memory in Studio
<1.4 kWRuns on one 15 A circuit
4–40People per machine
0 bytesSent to outside AI providers
1 dayFrom delivery to first answer
02 Where your data goes

Draw the line around your building.

Your team is already pasting client files into chatbots. We give them something as useful that runs on a machine in your office.

Public AI apps

Their servers

Fast to start, but every prompt and file leaves the company.

  • Data processed by a third party
  • Price grows with every token
  • Models change without notice
  • Strongest frontier models
Build it yourself

Your problem

Private, but you become a GPU systems integrator.

  • Data stays in house
  • Weeks of driver and runtime work
  • No accounts, queues or audit log
  • Nobody to call when it breaks
UBISAI Labs

Your machine, our care

Owned hardware, a complete software stack, and engineers on call.

  • Prompts and files never leave your network
  • Fixed price, unlimited use
  • Accounts, roles, audit log on day one
  • Models you choose and can pin
03 Hardware

Three machines. Published specs and prices.

Every unit is assembled, burned in for 72 hours and benchmarked on your chosen models before it ships. You get the results before you pay the balance.

In stock · ships in 2 weeks
For small teams

Labs One

Quiet desk-side box for 2–6 people

$18,500

or from $592/mo with financing*

  • GPU2× AMD Radeon AI PRO R9700
  • GPU memory64 GB · 1,280 GB/s
  • CPUAMD Ryzen 9 9950X · 16 cores
  • System memory128 GB DDR5
  • Storage4 TB NVMe
  • Power≈650 W peak · 850 W PSU
  • Network2× 2.5 GbE
  • Noise<38 dB at 1 m
Most chosen
Batch 1 · 6 of 10 left · ships in 3 weeks
For the whole office

Labs Studio

Serves 8–16 people at once from one outlet

$43,500

or from $1,392/mo with financing*

  • GPU4× AMD Radeon AI PRO R9700
  • GPU memory128 GB · 2,560 GB/s
  • CPUAMD EPYC 9255 · 24 cores
  • System memory256 GB DDR5 ECC
  • Storage8 TB NVMe, mirrored
  • Power<1,400 W · 1,600 W Titanium
  • Network2× 10 GbE · BMC
  • Noise<45 dB at 1 m
Built to order · ships in 4–6 weeks
For departments

Labs Pro

Large models and long documents, 20–40 people

$159,000

or from $5,088/mo with financing*

  • GPU4× NVIDIA RTX PRO 6000 Blackwell Max-Q
  • GPU memory384 GB · 7,168 GB/s
  • CPUAMD EPYC 9355 · 32 cores
  • System memory512 GB DDR5 ECC
  • Storage16 TB NVMe, RAID 10
  • Power≈1,800 W · redundant PSUs, 20 A
  • Network2× 25 GbE · BMC
  • Form factorTower or 4U rack
Contact sales

Labs Cluster: multi-node, rack and on-site deployments

For 50+ people, several offices or high availability. Sized from your real workload.

Request a sizing review

*Financing subject to approval through a third-party lender. Every machine includes the UBISAI Labs platform, one year of Essential care, live onboarding, 30-day hypercare and a 30-day return window.

White-glove support

Onboarding & support.

A named engineer for every account, from setup through ongoing care. We stay on the call until your team is productive.

Live onboarding included

Labs One includes a half-day session. Studio and Pro include a full-day team workshop, tailored to your work.

30 days of hypercare

Your named engineer helps your team get established and works through questions during the first 30 days.

Response commitments

Essential: response within one business day. Care+: response within four business hours. Managed operations: response time agreed in your service quote. Business hours apply.

Placeholder: customer quotes pending

Customer experiences.

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Customer quote pending.

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Customer quote pending.

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Customer quote pending.

04 Configure

Build yours. See the price as you go.

No sales call needed for standard machines. Reserve with a deposit; we confirm the build and benchmarks before you pay the rest.

05 Platform

Everything above the GPUs is already done.

One software stack, included with every machine. Each module is listed with its status, so you know exactly what you get today.

Layer 4WorkspaceWhere people work
Layer 3Gateway & APIWhere apps connect
Layer 2Inference engineTuned per machine
Layer 1HardwareOwned by you
06 Knowledge packs Beta

Your playbook, already read.

Turn the documents your team uses every day into a pack the model has already read. Every new chat starts with them loaded, in seconds instead of minutes.

  • i.Style guides, templates, policies, contracts or a codebase. Up to 260,000 tokens per pack.
  • ii.Built once overnight, then attached to any session from a menu.
  • iii.Rebuilt automatically when you change the source files or switch models.
Time to first answer · 70,000-token document
Reading the document every time≈100 s
With a knowledge pack≈7 s

Illustrative figure from published community results on a comparable 4-GPU machine. We measure on your hardware and your documents before delivery.

07 Services

Pick only what you need.

Every service is a separate module. Buy the machine alone, or let us scope, integrate and run it for you.

08 How it works

Five steps, each one you can stop at.

You decide at every step whether to continue. Anything already delivered stays yours.

Day 1

Scope

A 45-minute call with an engineer. You leave with a recommended machine, models and a cost estimate.

→ Decide: order or not
Week 1

Trial

Use a real unit over a secure remote link with your own prompts. Test documents only.

→ Decide: reserve
Weeks 2–4

Build & benchmark

Assembly, 72-hour burn-in and a benchmark report on your chosen models.

→ Decide: approve and pay balance
Delivery day

Plug in

Your named engineer sets up accounts and files, then leads your included live onboarding session. We stay on the call until your team is productive.

→ Decide: accept
Ongoing

Operate

Model updates, health checks and support. Run it yourself or let us handle it.

→ Change plan anytime
09 Industries

Built for firms that hold other people's secrets.

The same machine, configured with the workflows and permissions each kind of firm needs.

Law firms

Privileged files stay inside the firm, with access separated by matter.

  • Contract and clause review
  • Precedent search with citations
  • Discovery summaries

Consulting & accounting

Client confidentiality enforced by permissions, not by asking people to be careful.

  • Proposal and report drafting
  • Audit file analysis
  • Knowledge packs per engagement

Healthcare & clinics

Patient records processed on site. A BAA is available for US clinics.

  • Visit note drafting
  • Referral and prior-auth letters
  • Offline transcription

Finance & insurance

Loan, policy and KYC documents analysed without third-party processors.

  • Document extraction
  • Claims triage
  • Internal research assistant

Engineering & manufacturing

Drawings, manuals and IP stay off the internet.

  • Searchable SOPs and manuals
  • RFP responses
  • Private coding agents

Software teams

Coding agents on your own codebase, without sending it to a model provider.

  • OpenAI-compatible endpoint for IDEs
  • Isolated code sandboxes
  • Codebase knowledge packs
10 Sizing & cost

Which machine, and when it pays for itself.

Change any assumption. The math is shown, not hidden.

Recommended
Labs Studio
5people at the same time
$43,500one-time hardware
$95electricity per month
31 moto pay back vs. current spend
$25,9203 years: current AI spend
$25,9203 years: machine + power

Assumes 10 working hours a day, 22 days a month, at 70% of maximum power. Seat subscriptions usually cover fewer people than a shared machine does. Your scoping call replaces these estimates with measured numbers.

Public AI subscriptionsCloud GPU rentalUBISAI Labs
Where data is processedProvider's serversRented servers in a data centerYour office, your network
Cost shapePer seat or per token, risingPer hour, foreverOne-time purchase, optional care plan
Works with no internetNoNoYes
Model choice and pinningProvider decidesYours, but you run itYours, and we maintain it
Accounts, roles, audit logEnterprise plans onlyBuild it yourselfIncluded
Best atFrontier reasoningBurst training jobsDaily private work for a whole team

Need frontier models too? The gateway can send selected, non-sensitive requests to a cloud provider you approve. This is off by default and recorded in the audit log.

11 Proof, not promises

Try it on your own work before you buy.

Get a week of remote access to a real Labs Studio. Bring test documents and your hardest prompts.

Request remote trial Limited slots

Benchmarks you can rerun

Every delivery includes the test scripts, model versions and settings. Run them again yourself at any time.

Plain-language security

A data-flow diagram, list of open ports, update process and offline mode, documented. We say "supports compliance work", never "certified", until we are.

You own everything

The hardware, your fine-tuned models, prompts and logs belong to you. No account with us is needed for the machine to run.

12 Questions

Straight answers.

Not covered here? Ask an engineer, not a salesperson.

Are open models good enough compared with ChatGPT or Claude?

For drafting, summarizing, document Q&A, extraction and most coding, current open models are close to cloud models, and they get better every few months. For the hardest reasoning, keep a cloud model for non-sensitive work. The gateway can route between the two under rules you set.

What does "runs offline" mean exactly?

Chat, documents, agents and the API work with the internet cable unplugged. Updates arrive as signed bundles that you can install from a USB drive. Web search is an optional module and stays off unless you enable it.

How many people can really use one machine?

It depends on how many use it at the same moment, not on head count. A Labs Studio comfortably serves 8–16 people using it at the same time on a 27B-class model. Registered accounts are unlimited. The sizing calculator above gives a first estimate; the benchmark report gives the real number.

What do I need on site?

A standard outlet (One and Studio: 15 A / 120 V or any 220 V circuit; Pro: 20 A), a network port, and a spot that isn't a closed closet. Setup is done remotely, followed by your included live onboarding session.

What happens if it breaks?

Essential care (included for year one) provides a response within one business day, remote diagnosis and parts shipped on warranty. Care+ provides a response within four business hours, next-business-day parts, a loaner for Studio and Pro, and quarterly model updates. Managed operations response times are agreed in your service quote.

Can we fine-tune it on our own work?

Yes. With your permission, the platform can collect approved conversations as training examples and run a fine-tune overnight. Self-serve fine-tuning is coming soon; today we run it for you as a service.

Where do you ship?

We ship within the United States only.

13 Talk to an engineer

Tell us the work. We'll size the machine.

  • 1
    Reply within one business dayFrom an engineer who has built these machines.
  • 2
    A written recommendationMachine, models, expected capacity and a three-year cost, free.
  • 3
    No pressureIf cloud AI is the better fit for you, we'll say so.