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USASI
Artwork with the words “United States of America Superintelligence” and “American Super Intelligence, infrastructure, and innovation.” It shows Earth’s curvature at night, the Washington Monument and U.S. Capitol across the water, and a glowing network of lights and arcs over a map of the United States.
Illustration only: the lights and arcs are artistic, not verified company locations, data centers, or network connections.

Explore the companies, models, and tools behind American Super Intelligence.

An independent directory of U.S. AI organizations and U.S.-led open models, software, and research. Explore what they build, what is available, and where to find the original sources.

Searches organizations, open models and tools, hubs, explainers, glossary terms, license guides, policy documents, states, the top 1,000 projects on AI on GitHub, and the top 1,000 on AI on Hugging Face.

Independent project. Not a United States government website.

Explainer · reviewed Oct 13, 2026What "Super Intelligence" means in U.S. government documentsThe federal term since Executive Order 14434, the older research meaning, and a dated, sourced timeline.
Research report · October 2026 editionThe State of American AIDated figures from the catalog as of Oct 13, 2026: 150 organization records, 96 model releases and their licenses, local AI, and policy, each with its definition and a data download.

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About this project

USASI is an independent, unofficial catalog. Entries link claims to sources and record when the evidence was reviewed. Missing evidence stays Unknown; unverified candidates stay out of the published catalog. About USASI · Review process and methodology

Where to start

Counts on this site are records in this catalog as of Nov 11, 2026. Coverage is selective; counts are not a census, a ranking, or a measure of capability. How counts work

Directory previews

Editor’s selection (Sep 29, 2026): These entries were picked to show the range of what the catalog covers — a nonprofit research lab, a chip designer, a compute provider, a data platform, a robotics company, and an open-source foundation; and a model family, a framework, a runtime, a dataset, an evaluation tool, and a research stack. They are not ranked and are not the most important entries.

Latest news

What changed in the catalog

  1. · Release

    NVIDIA releases Cosmos3-H-Embodied-Nano and Cosmos3-H-Dreams surgical robotics world models

    NVIDIA published two surgical robotics models on Hugging Face whose model cards give a release date of October 20, 2026, both under the NVIDIA Open Model License Agreement. The Cosmos3-H-Embodied-Nano card describes Cosmos3-Nano post-trained on the Open-H-Embodiment surgical robotics data jointly for forward dynamics, inverse dynamics and policy, so one checkpoint can predict robot actions and endoscopic video. The Cosmos3-H-Dreams card describes a real-time, action-conditioned surgical world model for the CMR Surgical Versius system, built on Cosmos3-H-Embodied-Nano and distilled into a few-step autoregressive student that generates endoscopic video from a camera frame and robot commands. Both cards say the Cosmos3-Nano architecture they inherit includes a Qwen3-VL-8B reasoning tower, and the cards describe intended uses in simulation, policy evaluation and synthetic data generation before use on a physical system. USASI has not tested these models.

  2. · Release

    NVIDIA's Isaac Lab 3.0 is generally available with Newton and standalone OV library backends

    The Isaac Lab project published v3.0.0 on GitHub on October 20, 2026, and the release notes say Isaac Lab 3.0 is now generally available and is the recommended baseline for new projects and for migrations from Isaac Lab 2.x. The notes describe one task API across multiple physics, rendering and visualization backends, including Newton, a Warp-native physics backend with MuJoCo-Warp, VBD and MPM solver paths, and OV libraries that provide OVPhysX for PhysX and OVRTX for RTX rendering as standalone libraries. They say Isaac Sim remains available for workflows that need the full PhysX/RTX stack, ROS bridge, XR, livestreaming or Kit tooling, but is now fully optional. The release targets Isaac Sim 6.2, Python 3.12 and PyTorch 2.11 with CUDA 13.0. USASI has not tested this release.

  3. · Release

    Amazon announces an Apache 2.0 release of TorchNeuron, a native PyTorch backend for AWS Trainium

    Amazon said TorchNeuron, which it describes as running existing PyTorch code on its Trainium chips without a rewrite by plugging into PyTorch's standard mechanism for registering new hardware, would be released under the Apache 2.0 license at PyTorch Conference North America on October 20, 2026. Amazon says TorchNeuron supports Trainium2 and Trainium3 and that it is contributing changes upstream to PyTorch. The aws-neuron/torch-neuronx repository on GitHub is public, lists the Apache License 2.0, and describes itself as a native PyTorch backend for AWS Trainium. A Hugging Face blog post dated October 19 describes running Hugging Face models with it. USASI has not tested TorchNeuron.

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Catalog coverage

These are counts of published records in this catalog — not measures of capability, and not a census of American AI. Family overviews are counted separately from the releases they summarize, and research units are counted separately from their parents.

Open the comparison workspace
Catalog coverage: published records by type. Each number links to the records it counts.
Record typeCount
Organization recordsEvery published organization record, including research units and subsidiaries listed separately.152
Top-level organizationsOrganization records without a parent organization in this catalog.140
Units and subsidiariesOrganization records that belong to a parent listed in this catalog. Not independent companies.12
Model familiesOverview records. Not added to release counts.54
Model releasesSpecific releases assessed.101
FrameworksSoftware libraries for building or training models.63
RuntimesSoftware for serving or running models.27
Research stacksReference training or research codebases.6
DatasetsPublished datasets.9
Evaluation toolsBenchmarks and evaluation harnesses.16

Who maintains the open artifacts in this catalog

Organizations with the most open-artifact records here. This counts catalog records, not importance, quality, or total output.

  1. NVIDIA27
  2. Google (Alphabet)22
  3. Meta21
  4. OpenAI18
  5. Hugging Face13
  6. Microsoft13
  7. The Linux Foundation12
  8. Ai2 (Allen Institute for AI)10
All organizations with open artifacts

How this catalog works

Evidence first, independent by design

Sourced claims

Each statement links to the official page, model card, repository, or license that supports it, with the date it was checked. Unknown stays unknown.

Published eligibility rule

Entries qualify through documented U.S. headquarters, a U.S. nonprofit or lab, documented U.S. control, or U.S.-based project governance — applied the same way to everyone.

Openness by artifact, not by reputation

Models, software, datasets, and evaluation tools each get their own checklist. Model tiers follow USASI rubric v0.2, an editorial rubric, not a certification.

Independent project. Not a United States government website. USASI is not affiliated with any listed organization, and a listing is not an endorsement, a safety assessment, or a ranking. Read the methodology or the disclaimer.

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