Local models
Inference on your computer. Keep conversation, voice and memory on your own network.
No internet requiredVIMNORA™ / Active prototype
VIMNORA stands for:
Vision-Indexed Multimodal Neural Orchestration & Reasoning Agent
VIMNORA is our working prototype of personal AI with persistent, user-owned context. It runs on your machine, carries memory across models, and works through a browser or a voice endpoint. We use it daily in a household.
Experimental prototype / Active development
The premise
A good conversation should not vanish because you changed the software answering it.
The memory is yours and it sits on your side, apart from the model. Swap the model, move to a new machine, go from a local model to a hosted one and back again: none of it starts you over. A faster machine answers faster, and nothing here insists on a particular one.
That is the whole bet. The pieces that are cheap to replace should be replaceable. The part that took months to build up should belong to you, and it should not be living inside something you rent.
Running today
The prototype connects one persistent record to different ways of using AI.
Hosted models receive the context supplied to them. Connected services have their own data boundaries. Local operation describes the configuration you choose, not every optional integration.
01 / Choose the intelligence
Run a model on your own computer, connect natively to Azure, use the Claude API, or bring an online model with an OpenAI-compatible API. The model can change. Your personal context stays with VIMNORA.
People · Conversations · Files · Memories
Inference on your computer. Keep conversation, voice and memory on your own network.
No internet requiredNative Azure connectivity for your configured model deployment.
Optional cloud connectionConnect directly to Anthropic’s Claude API with your own provider account.
Optional cloud connectionUse online model providers that implement the supported OpenAI-compatible API.
Bring your endpointCloud models are optional. They require internet, receive the context you send, and may incur provider charges. API capabilities vary by provider. Provider names identify integrations, not partnerships.
02 / A voice with a history
A short speaker enrollment learns the characteristics of your voice and connects them to your personal profile.
Speak six sentences to establish your voice. Your identity then stays attached to the conversations you take part in, the files you share, and the memories that grow from them.
Shared context keeps its participants and sources. Personal records stay personal, and sharing follows the permissions you choose.
Speaker diarization
Identify up to eight speakers in a room, separate overlapping speech, and keep each person’s contribution attached to them. VIMNORA organizes its answers sequentially, so one reply can finish before the next begins.
Recognition depends on enrollment, microphone coverage and room acoustics.
03 / Make it feel at home
Choose a dynamic appearance that suits the room and the moment. Prefer no face at all? Let the animated memory-silk icon carry the presence instead.
Changing the appearance leaves your people, conversations and memory in place.
Orbit: a quiet, expressive presence.
The interface
Interface studies with invented content. The films elsewhere on this page show the working prototype.
It brings up what you told it before without being asked. When it uses one of your tools you watch the tool run, and you see what came back.
A plain list of what is connected and what is switched on. Nothing works until you turn it on, and each person sees only what they are allowed to use.
Read through old conversations and everything it has held on to. Fix what is wrong, delete what you would rather it forgot, and see where each piece came from.
The model, how much room is left in the conversation, the voice services, the connected devices. Not one green dot standing in for all of it.
Sight
A photograph means more when it meets context you have already supplied.
Take a photograph on your phone and it will tell you what it is looking at, using a model on your own machine. Then it does the part that actually helps: it puts what it sees next to what it already knows, and answers with both.
An observation is not automatically a fact. One look proves nothing, so the same thing has to turn up more than once, on separate occasions, before it joins the durable record. A dozen frames of the same moment still count once.
Read the design note
04 / iPhone companion · Coming soon
An iPhone companion app is coming for iOS 27.
Connect securely to VIMNORA on your computer through your local home network. An encrypted LAN connection brings your conversations, shared files and memory to your phone without needing internet access.
The computer supplies the local intelligence. The phone gives you another way to reach it, while you are connected to the same home network.
With local models and voice services installed, your home system works on your own hardware. Optional cloud APIs and connected online services have their own charges and internet requirements. Hardware and installation costs are separate.
05 / A whole-home presence · Coming soon
A physical VIMNORA device family is coming in several varieties, from a standalone display to an interconnected set of room units. Start with a single presence. Expand around the way your home works.
Inside the working prototype
See the local house view in motion: room boundaries, floor levels and a unit’s place in the home. A short recording from the prototype, with the original interface kept in view.

Use the player’s fullscreen control for a closer look. Open the video directly. This recording shows the map and unit marker; the hardware concepts below illustrate the upcoming packages.
A standalone VIMNORA touch display in a new case currently in development. A dedicated presence for the desk, counter or room where you use it most.
Interconnected units organized through a map of your house that you create and manage locally. Place each unit, name its room and keep control of the connections inside your home.
Touch-capable units can automatically switch their interface to a connected HDMI display with full fidelity, giving VIMNORA more room without losing the interface or its context.
Full HDMI capability / Working prototype
Ask for a picture that means something to you. VIMNORA draws on visual memories built over months of conversations and family images, recognizes familiar faces, and brings the remembered moment onto a connected HDMI display.
The full interface moves onto the larger screen with its appearance, context and visual response together.

Custom in-home installation · Coming soon
A custom installation package brings in-ceiling microphone arrays and speaker connectivity throughout the house, paired with in-wall touch displays up to 10 inches tall.
Designed around your rooms, listening positions and locally managed house map, with VIMNORA remaining on your own network.
Express preorder interestExpress preorder interest / Coming soon
Standalone displays, interconnected multi-packs and custom whole-home installations will be available to purchase. Physical units, installation and custom packages come at a price, to be announced.
Tell us which package interests you and request priority consideration. We’ll follow up with availability, pricing and next steps before any purchase.
Opens a prepared email. No payment is taken and no order or queue position is reserved here. Pricing, availability and priority placement require confirmation from Cast Net Technology.
Memory
Go back through old conversations and read what it has held on to. Correct it. Delete it. Changing the model does not wipe it and start you over.
Read the design noteAction
You watch a tool run, finish, or fail. File changes arrive as a draft and a diff for you to approve first, and you can put them back afterwards. A completion check catches claims of success with no completed operation behind them.
Read the design notePeople
Your memory is yours. Household things stay shared, but what you tell it does not turn up in somebody else's conversation. It is built that way underneath, rather than asking the model to be discreet.
Where it came from
Whether you said it, it read it, or it saw it stays attached to the fact. An explicit statement outranks an inference; visual observations stay provisional until corroborated on separate occasions. The source still matters after a memory becomes durable, especially when you correct it.
Read the design noteYour machine
With a local model, conversation, memory and voice keep going with the internet disconnected. Your local network connects the devices in your home. Nothing ships with a model hidden inside it and nothing downloads one behind your back. It checks the files you give it before it loads one, and refuses anything it does not recognize.
Hosted models and outside services stay your call, and those companies have their own rules about data. Running locally is not a promise that every optional extra is offline too.
What it is learning
It pays attention to how it has been answering you. When something is not working, writing the flaw down is not the fix. Tell a model that it rambles, then read that back to it before every reply, and you have taught it to ramble. So it picks one specific thing to do differently instead, and watches whether that actually helped.
If it helped, the change sticks and the note goes away. If nothing moved, it tries different wording. If that fails too, it says so plainly rather than pretending. And sometimes the real problem turns out to be a bug rather than a habit, in which case it tells you that instead. All of it sits on one page, and nothing is erased unless you erase it.
Read the design noteWho this is for
Some days it is a familiar voice across the room. Others, it is the context you need to pick up a piece of work. It can grow around the tools you choose, while you decide what it can reach and remember.
The product direction is a durable personal layer that can outlast a model, a provider, or a particular device. The prototype is how we test that idea in everyday use. It is still experimental, with no general-release date announced.
Get involved
An active prototype, with a larger product question: how do we make personal AI context something people can keep and control?
01 / Early users
Talk about your use case and interest in prototype testing.
Express product interest02 / Builders
Explore the public engine, integrations, or technical collaboration.
Discuss collaboration03 / Company
Investment, partnerships, and bringing the work to more people.
Discuss the company