Arcee AI Headlines
Latest news and coverage for Arcee AI
Recent Headlines
20 headlinesSD Times
Bolt.new launches Forge to widen who gets to build with AI - SD Times
Bolt.new launched Bolt Forge, a research preview giving Pro users 50x more usage on open models; the program is built on a data-sharing partnership with Arcee AI to help train a trillion-parameter-class open-weight model.
Markets Insider
Arcee AI Reaches $1B+ Valuation with Series B Funding to Advance Frontier Open-Weight AI | Markets Insider
Arcee AI announced a Series B round led by Vista Equity Partners, Cambium Capital and Emergence Capital, valuing the company at more than $1 billion to accelerate its Trinity open-weight models and expand work with the U.S. Department of Energy.
Fortune
Arcee AI trained four models for $20 million. Now, it's worth $1 billion. | Fortune
Fortune profiles Arcee AI, which spent roughly $20 million training four open-weight models including the 400-billion-parameter Trinity Large, and now carries a valuation of more than $1 billion after its Series B.
Arcee AI
Arcee Partners with Bolt on Forge | Arcee AI | Building Open Intelligence
Arcee AI announced a partnership with Bolt on Forge, a research preview connecting real development workflows to the training and evaluation of future open-weight models, giving eligible Bolt users 50x more usage on selected open models.
Arcee AI Blog
Arcee AI Raises Series B to Build the Future of American Open Models
Arcee AI announces its Series B, led by Vista Equity Partners, Cambium Capital, and Emergence Capital, with participation from AI10 Ventures, Hitachi, IAG, M12, P7, and Wipro. The round values Arcee at more than $1 billion.
Arcee AI Blog
Introducing NAC, an Open-Source Harness for Long-Running Agent Work | Arcee AI | Building Open Intelligence
Arcee AI introduces NAC, an open-source runtime designed to coordinate parallel agent workers and persistent state for long-running engineering tasks.
Microsoft Newsroom
COSS Companies Sign Open Letter Urging US to Encourage Development of Open Weight Models
The Linux Foundation joined Cisco, Dell Technologies, IBM, Meta, Microsoft, NVIDIA and other industry signatories in an open letter which makes the case that open weight models are an essential part of the foundation for secure, universally accessible and innovative AI . The letter argues that the right response to the real risks of open weights is a stronger open ecosystem rather than prohibition, and that policymakers should encourage rather than restrict frontier open models.
Digg
Arcee AI replaces AWS S3 with Hugging Face to host all of its models and datasets
Digg article summarizing Arcee AI's partnership with Hugging Face, including social media reactions.
Digg
Allen Institute for AI post-training lead Nathan Lambert joins Arcee.ai as a research advisor
Nathan Lambert, former Allen Institute for AI post-training lead, joins Arcee as a Research Advisor to guide open-source AI model development.
Digg
Arcee AI replaces AWS S3 with Hugging Face Private Storage in a multi-million-dollar model hosting deal
Digg reports on Arcee AI's partnership with Hugging Face to replace AWS S3 with Hugging Face Buckets for all models and datasets.
Hugging Face
Arcee Becomes the First Major American AI Lab to Replace AWS S3 with Hugging Face Private Storage, in a Multi-Million Dollar Commercial Partnership
Hugging Face announces a multi-million dollar partnership with Arcee AI, making Arcee the first major American AI lab to use Hugging Face's private storage exclusively.
Kilo
Best Open-Source & Open-Weight Coding Models (2026)
Trinity Large Thinking is listed among best open-source coding models, described as best US-origin open reasoning model.
Arcee AI
Arcee AI | Trinity is moving to OpenMDW-1.1
Arcee AI announces moving its Trinity family of models to the OpenMDW-1.1 license, a Linux Foundation permissive license for open AI model distributions.
TPS
Arcee AI Trinity Large Thinking: Free Reasoning Model with 262K Contex | TPS
Arcee AI releases Trinity Large Thinking, an open-source reasoning model with 262K context window, free via OpenRouter.
DEV Community
Arcee Trinity 400B Review: Apache 2.0, 96% Cheaper Than Claude Opus
A detailed review of Arcee's Trinity Large-Thinking model, highlighting its Apache 2.0 license, 96% cost savings vs Claude Opus, benchmark performance, and limitations.
TechCrunch
Tiny startup Arcee AI built a 400B-parameter open source LLM from scratch to best Meta's Llama
Arcee AI released Trinity Large, a 400-billion-parameter open source foundation model trained in six months for $20 million, claiming it is among the largest open source foundation models ever released by a U.S. company. The model benchmarks comparably to Meta's Llama 4 Maverick under the Apache 2.0 license.
VentureBeat
Arcee aims to reboot U.S. open source AI with new Trinity models released under Apache 2.0
Arcee AI launched its Trinity family of open-weight models — Trinity Mini (26B parameters) and Trinity Nano Preview (6B parameters) — under the Apache 2.0 license. The models use Arcee's custom AFMoE architecture and are positioned as a U.S.-built alternative to Chinese open source AI models.
Arcee AI
Arcee AI Secures Strategic Investment to Accelerate Enterprise-Grade AI Platform Built on AFM Foundation Models
Arcee AI announced a new strategic funding round led by Prosperity7 Ventures and M12 (Microsoft's Venture Fund), with participation from Hitachi Ventures, Wipro, JC2 Ventures, Samsung Next, and Guidepoint CEO Albert Sebag.
VentureBeat
Arcee opens up new enterprise-focused, customizable AI model AFM-4.5B trained on 'clean, rigorously filtered data'
Arcee AI released its AFM-4.5B foundation model as open weights on Hugging Face, allowing companies with under $1.75M in annual revenue to use it for free under a custom license. The 4.5-billion-parameter model is designed for enterprise use with strong compliance and customization features.
VentureBeat
Small language models rising as Arcee AI lands $24M Series A
Arcee AI announced a $24M Series A led by Emergence Capital, alongside the launch of Arcee Cloud. The round came just six months after the companys $5.5M seed round.
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