Organization
Arcee AI
Arcee AI is an AI model developer and research lab headquartered in San Francisco, California56. This catalog lists 2 open model releases from Arcee AI, under licenses including the OpenMDW License Agreement, version 1.1.
Documented roles: Model developer · Research lab · Inference provider
Arcee AI trains and publishes the Trinity family of open-weight language models, ranging from an on-device Nano model to a roughly 400-billion-parameter mixture-of-experts model. It also runs a hosted, OpenAI-compatible API.27
Using this organization’s offerings
The detailed audience, self-hosting, pricing, and restrictions review has not yet been completed. Consult the sourced product records below and the publisher’s current terms. Missing detail means unknown, not unavailable.
Key facts
- Ownership (separate from openness)
- Privately held
Recorded classification; fact-level ownership verification pending.
- Legal form
- Unknown
- Founded
- Unknown
- Sectors
- Open models, Research, Enterprise
What is and isn’t public
Arcee publishes Trinity model weights on Hugging Face. Trinity Nano Preview and Trinity Mini were announced under Apache 2.0; in May 2026 Arcee moved the family, including earlier releases, to the OpenMDW-1.1 license, which the Hugging Face model cards now list. A technical report describes the pretraining data; this catalog found no public release of the data itself. The hosted API is a paid service.29101112138
Products
Hosted model products
Labeled Hosted product/API — this describes how a documented product is delivered (hosted access). It does not determine whether underlying weights or code are open; assess the specific release and its licenses.
| Product | Kind | Documented delivery and access | Reviewed |
|---|---|---|---|
| Arcee Platform API (external site: docs.arcee.ai) | Hosted model API | Paid, per-token API with OpenAI-compatible endpoints, used with an API key from the Arcee Platform. The pricing page lists Trinity-Large-Thinking alongside models from other developers.78 | Sep 29, 2026 |
| Arcee chat (external site: chat.arcee.ai) | Assistant app | Web chat interface for Trinity models, described on Arcee's Trinity page as free to use.2 | Sep 29, 2026 |
Cataloged artifacts
Model families
- TrinityModel family
Model releases
- Trinity MiniModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
- Trinity-Large-ThinkingModel releaseAvailability: PublicModel-disclosure tier (USASI rubric v0.2): Open-weight
In the news
Arcee AI announces Genesis-Science-1, an open science model being built with the Department of Energy
Arcee AI wrote on July 22, 2026 that it and the U.S. Department of Energy had announced the development of Genesis-Science-1 (GS1), describing it as an open model for scientific research built with DOE and its national laboratories through the Genesis Mission. Arcee says GS1 is built on its next generation of Trinity models and will be a trillion-parameter-class language model. The weights have not been released: Arcee says GS1 will be released openly later in the year with the weights, a technical report, and public demonstrations. The post does not state a license.
What this catalog does not know
- Founding date: not documented in the sources reviewed.
Have a primary source? How to report a correction.
U.S. eligibility
Eligible · basis: U.S. headquarters
Arcee's September 2026 press release describes Arcee AI as a U.S. artificial intelligence company and carries a San Francisco dateline, its about page calls it a U.S. model lab, and SiliconANGLE reports it as San Francisco-based. Its site terms name Arcee AI, Inc., apply Delaware law, and set venue in courts in Miami, Florida. All documented locations are in the United States.5641
Sources
This listing is not an endorsement or a federal approval.
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APA style
USASI. (2026, October 1). Arcee AI. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/companies/arcee-ai/
BibTeX
@misc{usasi_arcee_ai,
author = {{USASI}},
title = {Arcee AI},
year = {2026},
month = oct,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/companies/arcee-ai/}},
note = {United States of America Superintelligence. Last updated 2026-10-01}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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