Local AI No token costs Data kept private Runs offline Built in EU

Run models on your own hardware.

Nobodywho

Managed local AI for enterprise

The Nobodywho inference engine runs AI on devices and on your own servers. Our Assurance Layer helps keep it fast, accurate and up to date, with support from setup through daily operation.

Nobodywho products

Choose on-device or on-premises AI. The Assurance Layer supports either deployment.

One SDK

Text, vision, speech and search, built on llama.cpp and ONNX.

Reliable tool calling

Check arguments against each function's schema.

Automatic setup

Pick a model and hardware configuration for each device.

Seven native languages

Rust, Kotlin, Swift, Python, Dart, TypeScript and GDScript.

The numbers that matter when the model runs locally.

  • Data leaving your infrastructure0bytesWith local deployment, prompts and outputs stay on your hardware.
  • Cost per token€0No per-token API fee. You still pay for hardware and any managed service you choose.
  • Open models10,000+Deployable on your hardware without vendor lock-in. Any GGUF from Hugging Face.
  • Language SDKs7Rust, Kotlin, Swift, Python, Dart, TypeScript, GDScript. Same features in each.

Key properties

  • Open-source inference engine, EUPL 1.2 licensed
  • On-device SDK for apps, games and embedded systems
  • On-prem inference on hardware you control
  • Orchestration across devices and servers
  • Works without an internet connection
  • No per-token costs, no vendor lock-in
  • Built and maintained in Europe

Sovereign AI

Distributed compute

Open Source

You can read every line of the engine that runs your models. Your team can inspect the code before deploying it.

Pricing

01

Getting started

Free

We get the Nobodywho tech stack up and running on your servers or edge devices.

  • Set-up on your infrastructure, free
  • Onboarding, free
  • Support for the first two months, free
Get started
02

Assurance Layer

from 500EUR / month

  • Small500 EUR / month
  • Medium1,000 EUR / month
  • Large2,000 EUR / month
  • EnterpriseContact us
Talk to us about sizing
03

Leased hardware

On request

Lease GPU servers from us and run on-premises AI without buying hardware. Price depends on the type of GPUs.

Request a quote

Contact Nobodywho

Nobodywho is a Copenhagen-based company building open-source local AI. Our inference engine runs models on devices and on organisations' own servers, keeping data inside the infrastructure they control.

For teams that need help deploying and operating Nobodywho, we offer onboarding, model selection, monitoring and support for on-device and on-premises deployments.

LocationCopenhagen, Denmark

FAQ

Questions we get asked most often.

What is Nobodywho?

Nobodywho is an open-source inference engine for running large language models on-device or on-premises, built by a Copenhagen-based team for companies that want AI without sending data outside their own infrastructure.

Is Nobodywho open source?

Yes. The core engine is open source under the EUPL 1.2 licence and available on GitHub.

Does the EU AI Act require on-premises deployment?

No. The EU AI Act does not legally mandate on-premises deployment. Nobodywho recommends it for control and simplicity, not as a compliance requirement.

Where is Nobodywho based?

Nobodywho is based in Copenhagen, Denmark, and operates within the EU.

What's the difference between on-device and on-premises AI?

On-device AI runs in your application on individual devices. On-premises AI runs on shared servers controlled by your organisation.

How is Nobodywho's enterprise solution priced?

The self-hosted SDK is free. Assurance Layer plans start at the rates in our pricing section; leased hardware is quoted for your deployment.

What does the Assurance Layer include?

Onboarding, support, model selection and optimisation, and bespoke tooling for on-device or on-premises deployments.

Can I try Nobodywho without talking to sales?

Yes. The open-source SDK is free to run yourself, on-device or on-premises, with no enterprise engagement required. Start with the docs.