Private AI.
In your building.
Cloud AI puts your documents, your spend and your capability on servers you do not control. The appliance brings all three back: a silent console for the office or a rack-mount server for the data room. Plug it in, connect your network, and private AI runs in minutes. Your data never leaves the building.
The cloud was a default. It was never the only option.
Generative AI is now a board-level decision, which means someone signs off on where your documents, customer data and source code actually go. Send them to a US-hosted cloud and you have signed off on exposure: to foreign jurisdiction, to metered cost you cannot cap, and to a vendor you cannot leave. Bringing AI in-house removes all three at once.
Regulation
GDPR, the EU AI Act and other regulations ask one hard question: where is your data processed, and who can reach it? On-premise turns the answer into a property of your architecture rather than a clause in someone else's contract.
Confidentiality
Your IP, your contracts and your customer records never touch a third-party cloud and never become training data for someone else's model. What leaves the building is nothing.
Cost & control
No per-token bills, no rate limits, no surprise price changes the quarter after you have built on them. The appliance is a capital asset your teams can use without watching a meter.
Free field report
Before you decide on AI, read the honest landscape.
Twenty pages on where AI actually cuts cost or does more with fewer people, and how to make a first move that pays for itself.
20 ppThe entire AI workload, inside your own four walls.
We brought the entire AI workload inside our own four walls. No data leaves the building, and the per-token bills are gone.
One box. Your AI. Ready to work.
The reason most teams stay on the cloud is the fear of an integration project that never ends. There is none here. The appliance arrives as enterprise hardware and the full software stack, pre-configured and tested. You plug it in.
Plug in
Connect power. The appliance arrives assembled, tested and ready to run.
Connect
Attach it to your internal network. No external dependencies, no accounts to create, no calls home.
Consume
Your team uses Malogica Mind, Malogica Agents and the models they choose. That same day.
The hard part is already done.
Every layer a private AI deployment needs, integrated and tested as one: the assistant, the agents and the models. All of it optional, all of it yours to turn on.
Malogica Mind
A private AI assistant grounded in your own documents, so every answer comes with its source and nothing it reads ever leaves the box.
- Retrieval over your content
- Citations to the source
Malogica Agents
AI agents that act across your systems, drafting, updating and triaging, with every consequential step waiting for your approval and no per-task bill as you scale.
- Visual canvas, no code
- Human approval on every action that matters
Open models
Run the best open models on hardware you own, swap them whenever you like, and never wait on a vendor's roadmap or rate limit.
- Any open model, your choice
- Change models without changing vendors
Your AI is only as good as what it can reach.
The appliance reads from the tools your team already lives in, in place, without copying your data anywhere it should not go.
The meter never stops. The appliance pays for itself.
Set your team size and usage. The chart shows the month an appliance you own overtakes metered cloud or a per-seat subscription, and every month after that is cost you are no longer paying. Most teams are surprised how soon the lines cross.
From a single team to the whole organisation.
One product family, three sizes. You scale the hardware, not the complexity, and every configuration ships the same turnkey stack and the same sovereignty guarantees. Indicative starting prices; we size the right unit with you.
Workgroup
A team adopting private AI: a knowledge assistant for one department, running smaller open models.
- GPUs1–2 · pro
- GPU memory32–144 GB
- CoolingLiquid, silent
Department
A whole department: Mind and Agents running together, hosting larger models.
- GPUs2–4 · pro
- GPU memory64–288 GB
- CoolingLiquid, silent
Enterprise
Organisation-wide AI. The largest open models and high concurrency in your server room.
- GPUs4–8 · server
- GPU memory128–768 GB
- CoolingAir / liquid opt.
Indicative starting prices, ex. VAT. Each tier spans several configurations; we size the right unit with you.
The things boards ask first.
No. Indexing, retrieval and inference all run on the box, connected only to your internal network. Connectors bring your content in; prompts, documents and model outputs never leave the building.
GDPR turns on where data is processed and who can access it. When processing happens entirely on your own hardware, on your own network, that question has a short and defensible answer, and you are not relying on a processor's assurances or a data-transfer mechanism that can change under you.
You stay the deployer of systems you fully control, on infrastructure you own, with the data and model behaviour visible to you. That makes the Act's obligations around transparency, oversight and record-keeping something you can actually satisfy, rather than inherit from a vendor you cannot audit.
Never. There is no path for it to. The models run on your appliance and your content stays on your appliance; nothing is sent anywhere to be learned from.
The appliance arrives assembled, configured and tested. You connect power and network, and people are asking it real questions the same day. There is no integration project to staff or schedule.
Run the best open models available, and swap them whenever you like. You are never locked to one model or waiting on a vendor's roadmap; new models become yours to adopt on your own schedule.
Cloud bills you forever and rises with use; the appliance is a one-time capital asset with a fixed running cost. Set your team size in the economics section above to see the month the lines cross. After that month, the saving compounds.
Nothing, on the bill. Metered services charge you more for every task you automate, which quietly punishes the success you wanted. On your own appliance, running ten times the work costs the same as running it once.
Access follows your existing roles and permissions, so people reach only what they are already allowed to see, and every interaction is logged. You can answer "who asked what, and what did it see" without guessing.
It is your hardware, on your network, behind your controls, and it receives maintained updates for the platform and the models. You are not exposed to a shared cloud tenancy or a breach in someone else's environment.
Yes. The appliance is designed to run with no internet connection at all, for the environments where that is non-negotiable. Updates can be applied offline.
You own it. It is a capital asset on your balance sheet, not a recurring licence that disappears the day you stop paying. Optional support is exactly that: optional.
The platform is built on an open-source core, so it keeps running on hardware you already own regardless of us. You are buying independence, not a dependency, and that is the point.
Support and service levels scale with the tier you choose, from standard business-hours cover to dedicated response with optional remote assistance over your own secure channel. We size the right level with you.