Press & Media

Noema.Private AI on the Apple devices people already own.

Noema is a free, open-source AI assistant for iPhone, iPad, Mac, and Apple Vision Pro. Compatible models and files can remain local and work offline; search and remote endpoints are optional.

Noema running across Mac and iPhone

Noema in 30 seconds

The facts, without the pitch.

A sourceable snapshot for introductions, listings, and product comparisons. Last updated August 2, 2026.

What it is

A free, open-source AI assistant and LLM runner

Built for private, capable work on hardware people already own.

Platforms

iPhone, iPad, Mac, and Apple Vision Pro

Native experiences across Apple platforms.

Price

Free

No subscription and no feature tier inside the personal app.

Privacy model

Core inference and files can remain on-device

Web search and remote model endpoints are optional and user-controlled.

First release

September 19, 2025

Current release
Noema 3.7 - August 8, 2026

Adds offline Python code execution, bundled scientific packages, inline Matplotlib figures, native Quick Charts, confined execution, and smoother conversations.

Three ways into the story

What makes Noema worth covering now.

01

The Apple device becomes the AI computer

Noema runs compatible language models across iPhone, iPad, Mac, and Apple Vision Pro, bringing private AI to the devices people use every day.

02

A compact model built for local work

Noema 2B is a two-billion-parameter, Apache 2.0 model built on Qwen3.5-2B and tuned for capable, token-efficient use on personal hardware.

03

Cloud access is a choice, not a requirement

Core inference and documents can stay local and work offline. Search and remote endpoints remain available when a user deliberately chooses them.

Ready to quote

Describe Noema accurately.

Use these descriptions verbatim or adapt them to match your publication's style.

One sentence

For article introductions, listings, and captions.

Noema is a free, open-source AI assistant for Apple devices that can run language models, documents, and tools locally, privately, and offline.

Short boilerplate

A compact description for news briefs and product roundups.

Noema is a free, open-source AI assistant for iPhone, iPad, Mac, and Apple Vision Pro. It runs compatible language models and works with documents and tools directly on-device, so private work can remain local and available offline. Optional web search and remote endpoints are always user-controlled.

Full boilerplate

For profiles, reviews, and longer product descriptions.

Noema is a free, open-source AI assistant built for Apple devices. People can download and run compatible language models directly on iPhone, iPad, Mac, and Apple Vision Pro, then use them with documents, voice, images, and tools. Core inference can remain on-device and work offline, keeping private prompts and files on hardware the user controls. Noema also supports optional web search and remote model endpoints when users choose to connect them. The project includes Noema 2B, a compact model designed for on-device use, and an open ecosystem spanning Noema Search, Atlas, and governed deployments through Noema Teams.

Approved press assets

Images ready for publication.

These files may be used for editorial coverage of Noema. Please do not alter the Noema mark or use these assets in a way that implies endorsement. Credit “Noema” where practical.

Noema product overview - light

Noema running across Mac and iPhone, showing local models and smart retrieval.

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Noema product overview - dark

Dark appearance version of the multi-device Noema product overview.

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Noema Fold mark

The approved black vector mark for editorial coverage and product listings.

Scalable SVG

Noema Mulish wordmark

The approved outlined NOEMA wordmark, with no font installation required.

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Noema app icon - default

Black Fold mark on white for standard app listings and light presentation.

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Noema app icon - dark

White Fold mark on Noema ink for dark app listings and presentation.

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Model downloads

Noema presenting multiple GGUF quantizations for an on-device model.

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Smart retrieval conversation

An on-device conversation grounded in a selected Linear Algebra dataset.

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Local model controls

Context, memory, GPU offload, and cache controls for a local GGUF model.

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Working on a story?

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Contact the Noema team for product questions, technical context, image requests, or review access.

[email protected]