A private AI appliance for your home or office. Plug it in, pair it from your phone, and chat with assistants that run entirely on hardware you own. Inference never leaves the box.
Cloud AI is thirsty. Large data centers cool themselves by evaporating clean water, and a share of every prompt sent to them is paid for that way. Ask the Hub instead and none of that water is spent: the only cost of a question is the electricity it draws while it thinks.
A thousand questions, a thousand answers, and not a single drop spent cooling a server farm. The only footprint is the electricity the Hub draws, on your own meter.
The model thinks on hardware you own, in the room you're standing in. No outside AI provider sees your prompts, and nothing you type trains anyone's model.
New capabilities arrive as signed software, not as a new box. Fewer machines built, fewer machines thrown away.
Signed updates that roll back on their own, capabilities delivered as signed containers, and a device with no shell and no open ports, all managed from a phone. The intelligence runs on hardware you bought. The operations are ours.
Models load and answer on the box you own. No per-token meter, no rate limit.
Signed system updates install themselves and roll back automatically if the assistant stops answering.
No SSH, no login shell, no inbound ports. The Hub opens an outbound, mutually authenticated connection and accepts work only over it.
Power it on, enter the pairing code on the Hub's display, confirm, and it's yours.
Every line runs the same sealed operating system, the same phone experience, and the same update path. The line sets how much the Hub can do at once and how quickly it answers. Final configurations are announced at launch.
Everyday use, for the whole household.
Real work, all day.
Studio and small-team workloads.
No accounts to configure on the device, no network settings, no port forwarding, no command line. If you can set up a wireless router, you can set up a Hub, and this is the easier of the two.
Power and network. The Hub starts itself and shows a pairing code on its own small display.
Enter the code, confirm the second code the Hub shows back, and it's yours. Nobody else can claim it.
Pick an assistant from the library and ask it something. Everything after that is one tap.
Streaming chat, on device.
A curated library, one tap to install.
Your device, your data, your call.
The Hub opens the connection, so there is no port to forward and no service to expose. Your phone talks to the Hub through an encrypted control plane. Models and inference stay in your home.
There is no training pipeline in the product and nothing is collected to build one.
The model runs on the Hub, so no outside AI provider ever receives your prompts, your documents, or your clients' names.
Each device holds a private key it generated itself and speaks over a mutually authenticated, encrypted channel.
Checked against a key burned in at manufacture. Anything that misbehaves is reversed.
Export or erase conversations on your own schedule, and reset the Hub to factory state from the device itself.
Professional practices have the most to gain from AI and the most to lose from sending their work away. A Hub sits in the office, on the practice's own network, and answers from hardware the practice owns.
Draft, revise, and compare documents, summarize long records and filings, and search the firm's own document history, with client material under the firm's control.
Documentation and correspondence, literature and guideline summaries, and patient-facing explanations, with inference on hardware the office owns.
Analysis over the firm's own numbers, proposals, memos, reporting, and research assistants that cite their sources.
The fastest way to understand the Hub is to stand in front of one. Reserve a Hub, try the owner experience in your browser, or come see it in person at CES 2027.