based in New York City that develops computation too Daily-updated profile, timeline, and analysis."/>
Hugging Face is an American AI infrastructure company based in New York City that develops computation tools for building applications using machine learning, including its widely used transformers library and a platform for sharing models and datasets. Founded in 2016, the company now hosts over 1.2 million models and functions as the interoperability layer between cloud providers and model creators. This page updates automatically every day: the timeline grows as news breaks, and the analysis refreshes with it.
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This timeline grows automatically as news breaks. 10 events on record.
Hugging Face remains privately held. <cite index="5-7,5-8">It is owned by its three co-founders, a group of major technology corporations and venture capital firms, and employees who hold equity, with no single entity owning a majority.</cite>
<cite index="5-5,5-6">Hugging Face's Series D round in August 2023 raised $235 million at a $4.5 billion post-money valuation, led by Salesforce Ventures with participation from Google, Amazon, Nvidia, Intel, AMD, Qualcomm, IBM, and Sound Ventures.</cite> No newer valuation has been publicly confirmed as of mid-2026.
<cite index="4-7">Like Github, Hugging Face makes money from paid individual ($9/month) and team plans ($20/month), but the majority of their revenue has historically come from spinning up closed, managed versions of their product for the enterprise.</cite> It is also shifting toward recurring API usage fees and cloud partner referral revenue.
<cite index="13-8">Hugging Face was founded in 2016 in New York City by Clément Delangue (CEO), Julien Chaumond (CTO), and Thomas Wolf (CSO)</cite>, and all three continue to lead the company.
No. While it began in NLP, <cite index="4-3,4-4">the product line now spans robotics hardware from $70,000 industrial humanoids down to a $299 consumer robot, and robotics datasets on the Hub grew from 1,145 to 26,991 in a single year</cite>, alongside its established hub for text, vision, audio and multimodal models.
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