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Meta AI

What Meta AI does

Meta AI is Meta Platforms’ AI research and product organization focused on multimodal generative AI and open-weight model ecosystems, plus in-house deployment of those capabilities across Meta’s consumer and developer surfaces. It publishes open research and model releases (notably the Llama family), builds model products and APIs for developers (including the Meta Model API and the Muse model family), and runs applied research on topics spanning agentic behavior, multimodal reasoning, robotics-relevant perception, and safety/preparedness frameworks.

On the product side, Meta AI is presented to users as an assistant experience across Meta platforms, while Meta Superintelligence Labs publishes “Muse” models for agentic coding and media generation. On the developer side, Meta emphasizes an open research-and-tools approach for adopting its models: model downloads and developer documentation are provided for Llama, and Muse Spark 1.1 is offered via a public preview of the Meta Model API.

Strategically, Meta AI positions open-weight models (Llama) alongside proprietary multimodal assistant experiences (Meta AI) and developer tooling (Meta Model API, Llama downloads/resources). This combination aims to strengthen both ecosystem adoption and Meta’s internal model pipeline by iterating in the open while integrating directly into Meta’s large-scale product distribution.

News

Company record

Jul 27, 2026 · Official · AI at Meta BlogReimagining Independence: How Meta’s AI Models Are Helping the University of Pittsburgh Transform Assistive Robotics

Meta describes how its AI models support an initiative at the University of Pittsburgh’s Human Engineering Research Laboratories (HERL) building an assistive robotics platform, citing up to $41.5 million in ARPA-H funding for the broader effort.

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Jul 21, 2026 · Official · AI at Meta BlogHow Meta’s AI Models Are Powering the First Wave of Genesis Mission Projects

Meta outlines its role in early Genesis mission projects, using examples from major research activities and describing how Meta’s AI models support mission workflows.

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Jul 09, 2026 · Official · AI at Meta BlogIntroducing Muse Spark 1.1

Meta Superintelligence Labs introduces Muse Spark 1.1 and launches a public preview of the Meta Model API for developers to access Muse Spark 1.1.

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Jul 07, 2026 · Official · AI at Meta BlogIntroducing Muse Image and Muse Video

Meta announces Muse Image and an early preview of Muse Video, and describes availability across Meta AI, Instagram Stories (US), and WhatsApp (limited countries), with additional rollout mentioned.

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Jun 29, 2026 · Official · AI at Meta BlogFrom Brain Waves to Words: Brain2Qwerty Offers a New Path to Communication Without Surgery

Meta shares Brain2Qwerty v2, describing a non-invasive brain-signal-to-text approach and stating it is releasing training code and that a partner is releasing a dataset.

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Apr 08, 2026 · Official · AI at Meta BlogScaling How We Build and Test Our Most Advanced AI

Meta details an updated safety and preparedness approach, publishing the Advanced AI Scaling Framework and related Safety & Preparedness Reports in the context of more capable and personalized AI.

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Apr 08, 2026 · Official · AI at Meta BlogIntroducing Muse Spark: Scaling Towards Personal Superintelligence

Meta introduces Muse Spark as the first Muse-family model, describing natively multimodal reasoning capabilities, tool-use support, and an initial availability plan on meta.ai and in the Meta AI app.

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Mar 26, 2026 · Official · AI at Meta BlogIntroducing TRIBE v2: A Predictive Foundation Model Trained to Understand How the Human Brain Processes Complex Stimuli

Meta introduces TRIBE v2 as a predictive foundation model for human neural activity, describing it as a digital twin and stating it releases model, codebase, paper, and an interactive demo.

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Show 3 earlier updates
Mar 10, 2026 · Official · AI at Meta BlogMapping the World's Forests with Greater Precision: Introducing Canopy Height Maps v2

Meta announces Canopy Height Maps v2 (CHMv2) with world-scale maps and identifies DINOv3 as the vision model at the heart of CHMv2, describing the project as done in partnership with the World Resources Institute.

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Apr 18, 2024 · Official · AI at Meta BlogIntroducing Meta Llama 3: The most capable openly available LLM to date

Meta introduces Llama 3 as the next generation of state-of-the-art openly available language models and discusses training approaches for large Llama 3 models.

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Date not disclosed · Official · AI at Meta BlogThe Llama 4 herd: The beginning of a new era of natively multimodal AI innovation

Meta describes Llama 4 as natively multimodal and highlights distribution of Llama 4 experiences across Meta surfaces, with emphasis on open source fine-tuning and multilingual pre-training details.

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Funding

Subsidiary of Meta Platforms

Capital is held within the parent organization rather than represented as a standalone venture-funding total.

What it builds

Meta AI assistant

Meta AI is Meta’s personal assistant experience designed to answer questions and complete tasks, with assistant functionality described on Meta AI’s assistant page.

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Meta Model API (public preview)

Meta Model API is described as a developer interface launched as a public preview alongside Muse Spark 1.1, allowing developers to access Muse Spark 1.1.

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Muse Spark 1.1

Muse Spark 1.1 is presented as a multimodal reasoning model built for agentic tasks with gains in tool and computer use and coding, available in “Thinking” mode and via the Meta Model API public preview.

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Muse Image and Muse Video

Muse Image and an early preview of Muse Video are presented as Meta Superintelligence Labs’ media generation models, with Muse Image available across Meta products and Muse Video described as coming soon in Meta AI.

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Llama (open-weight model family)

Meta publishes the Llama model family as open-source/openly available weights and associated resources, including a downloads hub for Llama 3 and Llama 4 model families.

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Llama developer resources and docs

Meta’s Llama documentation hub provides developer get-started content and references to tools/libraries and “Meta-Models” resources for working with Llama models.

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Key metrics

Milestones & partnerships