Organization
Google DeepMind
Google DeepMind is a research lab and AI model developer. This catalog lists 6 open model releases and 2 software projects from Google DeepMind, under licenses including the Apache License 2.0 and the Creative Commons Attribution 4.0 International.
Documented roles: Research lab · Model developer
Research unit of Google (Alphabet)
Google DeepMind is Google's AI research unit, formed in 2023 by combining DeepMind with the Brain team from Google Research. It is credited as the developer of the Gemma family of open-weight models.137
Using this organization’s offerings
Intended users
Google DeepMind presents Gemma as open models for developers to build on and customize. Its models page lists other families, such as Gemini, for use through Google's apps and developer tools.109
Hosted and self-hosted access
Gemma weights can be downloaded from Kaggle and Hugging Face and run locally or on Google Cloud. Gemini, Veo, Lyria, and other Google DeepMind model families are offered through hosted Google products, including the Gemini app, Google AI Studio, and Gemini Enterprise Agent Platform.10149
Restrictions and review limits
Terms differ by Gemma generation: Gemma 4 is released under Apache 2.0, while earlier Gemma models and variants such as EmbeddingGemma and ShieldGemma fall under the Gemma Terms of Use, which incorporate a prohibited use policy. This profile is not a complete product or rights audit.121113
Key facts
- Ownership (separate from openness)
- Unit of another organization
Recorded classification; fact-level ownership verification pending.
- Legal form
- Unknown
- Headquarters
- Not documented
- Other documented locations
- London4; Bay Area4; New York City4; Cambridge (US)4; Bangalore4; Montreal4; Toronto4; Paris4; Zurich4; Tokyo4
- Sectors
- Frontier models, Open models, Research
What is and isn’t public
Products
No product records yet.
Cataloged artifacts
Model families
- AlphaProtein NovoModel family
- GemmaModel family
Model releases
- AlphaProtein Novo GeneratorModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- EmbeddingGemma 2Model releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- EmbeddingGemma 300MModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- Gemma 4 12B UnifiedModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- Gemma 4 26B A4BModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- Gemma 4 31BModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
Frameworks
- SynthID BioSoftwareAvailability: Public
- SynthID TextSoftwareAvailability: Public
Organizational relationships
- Parent organization: Google (Alphabet) (Research unit)
Fact-level relationship verification pending.
Units and subsidiaries have their own records and are counted separately from their parent.
Notable documented facts
- Google DeepMind's about page says DeepMind was founded in 2010 and Google Brain was started in 2011 at X; the two were combined into Google DeepMind, led by CEO Demis Hassabis.3
- Alphabet's fiscal 2024 Form 10-K says Alphabet consolidated teams building general AI models across Google Research and Google DeepMind in 2024, reporting them within Alphabet-level activities, and that the Gemini app team joined Google DeepMind in October 2024.5
In the news
Google releases EmbeddingGemma 2, an open-weight multimodal embedding model under Apache 2.0
On October 6, 2026 Google announced EmbeddingGemma 2, a multimodal embedding model built on the Gemma 4 architecture. The announcement says the model maps text, code, images, video, and audio into a shared embedding space, contains 740 million parameters, and produces 768-dimensional vectors that can be truncated to 512, 256, or 128 dimensions using Matryoshka Representation Learning. Google says the weights are released under the Apache 2.0 license and are available on Hugging Face and Kaggle, with on-device variants in the LiteRT Community on Hugging Face. USASI has a release record for the earlier EmbeddingGemma 300M; a record for this release has not yet been added.
Google DeepMind releases AlphaProtein Novo code and non-commercial generator weights
Google DeepMind published AlphaProtein Novo (AP Novo), a generative diffusion pipeline for de novo enzyme design through structural motif scaffolding, in a GitHub repository whose commits are dated from October 5, 2026. The README says the diffusion model co-generates protein structures and sequences conditioned on a catalytic motif and ligand context, and that it can be combined with LigandMPNN sequence redesign and AlphaFold 3 structure prediction; it points to a bioRxiv preprint describing the work. The software is licensed under Apache 2.0, but the generator weights are downloaded separately under terms of use, last modified October 5, 2026, that allow only non-commercial use by, or on behalf of, non-commercial organizations. USASI has not tested AlphaProtein Novo.
Google DeepMind introduces SynthID Bio and open-sources code for watermarking AI-designed proteins
On September 30, 2026 Google DeepMind introduced SynthID Bio, a family of watermarking methods for AI-generated protein sequences and 3D structures, which it describes as a proof of concept. The repository README says SynthID Bio-sequence adds watermarked sampling to ProteinMPNN, and the announcement says SynthID Bio-structure fine-tunes a small part of AlphaFold 3's diffusion network so that predicted coordinates carry a detectable signature. Google DeepMind says it is publishing a methods paper, open-sourcing the code and in vitro data, and releasing weights to the research community. In the public repository, the software is licensed under Apache 2.0, the in vitro validation data supporting the paper is licensed under CC BY 4.0, and AlphaFold 3 model parameters remain under the AlphaFold 3 terms of use. USASI has not tested SynthID Bio.
Google DeepMind launches AlphaGenome Atlas, precomputed predictions for human DNA variants
On September 8, 2026 Google DeepMind introduced AlphaGenome Atlas, a resource of precomputed AlphaGenome predictions for the effects of single-nucleotide variants, covering every possible single-letter change in the human genome. The announcement says Atlas is detailed in a paper and is available through a free website portal for non-commercial academic research, through the AlphaGenome API, and as a skill in Google Antigravity, with commercial use on Google Cloud planned. Alongside it, Google DeepMind released the AlphaGenome Variant Impact (AVI) score, which combines AlphaGenome and AlphaMissense predictions into a single number per variant; Atlas also includes AVI feature attributions and a collection of recurrent DNA sequence motifs. USASI has not tested AlphaGenome Atlas.
Google introduces WeatherNext 3, an hourly global weather model that uses live satellite data
On September 3, 2026 Google DeepMind and Google Research introduced WeatherNext 3, a global weather forecasting model that ingests live geostationary satellite data and produces a new forecast every hour. The announcement says it resolves some surface variables at 5-kilometer resolution, other surface variables at 10 kilometers, and atmospheric variables at 25 kilometers, and adds forecasts of 100-meter wind speeds and solar radiation for renewable energy planning. Google says WeatherNext 3 begins powering weather features in Search, the Gemini app, Google Maps, the Google Maps Platform Weather API, and Google Earth Engine, and that its forecast data can be queried in BigQuery and Earth Engine or downloaded in bulk from Google Cloud Storage. The announcement links to a paper and does not describe a release of model weights. USASI has not tested WeatherNext 3.
What this catalog does not know
- Legal name: not documented in the sources reviewed for this record.
- Headquarters: not documented in the sources reviewed.
- Products: none documented in this record.
Have a primary source? How to report a correction.
U.S. eligibility
Eligible · basis: Documented U.S. control
Google DeepMind lists offices in London and in several U.S. and non-U.S. cities, and the official pages reviewed do not name a headquarters. It is assessed under U.S. control because Google and Alphabet document it as part of Google: Google's CEO announced it in April 2023 as a group combining DeepMind and Google Research's Brain team, and Alphabet's fiscal 2024 Form 10-K describes consolidating AI model teams across Google Research and Google DeepMind, with the costs reported in Alphabet-level activities. Alphabet Inc. is a Delaware corporation with principal executive offices in Mountain View, California, per its fiscal 2025 Form 10-K. This catalog did not review which legal entities employ Google DeepMind staff in each country.12564
Sources
This listing is not an endorsement or a federal approval.
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APA style
USASI. (2026, October 2). Google DeepMind. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/companies/google-deepmind/
BibTeX
@misc{usasi_google_deepmind,
author = {{USASI}},
title = {Google DeepMind},
year = {2026},
month = oct,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/companies/google-deepmind/}},
note = {United States of America Superintelligence. Last updated 2026-10-02}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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