
Hugging Face
Founded Year
2016Stage
Unattributed VC | AliveTotal Raised
$398.92MRevenue
$0000Mosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+10 points in the past 30 days
About Hugging Face
Hugging Face operates as an open-source machine learning platform focused on artificial intelligence within the technology sector. The company provides a space for the machine learning community to develop models, share datasets, and host artificial intelligence (AI) applications, and offers enterprise solutions. Hugging Face was formerly known as Hugging Face. It was founded in 2016 and is based in Paris, France.
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ESPs containing Hugging Face
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The small language model (SLM) tools & development market includes companies and open-source projects that create, customize, and deploy compact AI language models optimized for efficiency and domain-specific use. These models deliver faster inference, lower costs, and on-device capabilities compared with large language models. The market includes model developers, fine-tuning and optimization pla…
Hugging Face named as Outperformer among 15 other companies, including Microsoft, Google, and Amazon.
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Research containing Hugging Face
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Hugging Face in 21 CB Insights research briefs, most recently on Sep 5, 2025.

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Expert Collections containing Hugging Face
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Hugging Face is included in 6 Expert Collections, including Unicorns- Billion Dollar Startups.
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Hugging Face Patents
Hugging Face has filed 2 patents.
The 3 most popular patent topics include:
- binary trees
- cryptographic hash functions
- data management

Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
8/31/2024 | Cryptographic hash functions, Trees (data structures), Data management, Binary trees, Hashing | Application |
Application Date | 8/31/2024 |
|---|---|
Grant Date | |
Title | |
Related Topics | Cryptographic hash functions, Trees (data structures), Data management, Binary trees, Hashing |
Status | Application |
Latest Hugging Face News
Nov 4, 2025
Industry estimates now suggest that we could see one billion humanoids by 2050, signalling the shift from lab prototypes to mass-physical presence. These machines are evolving across several key areas, from academic simulation breakthroughs to consumer-ready launches, mass production, and real-world athletic feats. Hardware alliances and foundational pilot deployments are also taking centre stage. The humanoid robot market reached approximately $2.98 billion in , with global shipments estimated at over 18,000 units this year. China led the market, surging from 3,000 units in 2024 to approximately 30,000 orders for humanoid robots in 2025. Robots now lift 300 kg crates, run half-marathons and load dishwashers. They work in factories, homes and hospitals. Here is a list of seven notable developments from 2025, spanning household bots, factory shifts, industrial alliances, research leaps and government orders, each one signifying a step forward in the humanoid era. 1X NEO Hits Homes at $20,000 Palo Alto-based firm, 1X Technologies , opened pre-orders on October 28 for the NEO home humanoid robot, priced at around $20,000. The robot is designed to handle household chores, offer conversational assistance and grow its capabilities via OTA updates. While early units require human-in-the-loop supervision, the move marks one of the first times a home-oriented humanoid has been offered at consumer scale. The 78-pound bot unloads dishwashers, removes rubbish and waters plants in four minutes flat. Early testers report 90% autonomy on daily chores. Safety rails guard privacy while cameras stream only on command. 1X plans to produce 10,000 units by 2026. Figure 03 Fires Up US robotics company Figure AI launched its Figure 03 robot , designed for home, commercial and large-scale use. To produce this at scale, Figure created BotQ, a dedicated high-volume manufacturing facility. The plant will initially produce up to 12,000 humanoid robots per year, with a target of one lakh units over a four-year period. Moreover, the company also unveiled its in-house battery for F03 humanoids, F02 walking blind , and even cracked a vision-language-action (VLA) model, Helix , that allows humanoid robots to perform complex tasks using natural language. BMW Clocks 5 Months of Humanoid Shifts By the first week of October, Figure had been running for five months on the BMW X3 body shop production line. The robots ran 10 hours per day, possibly making the companies the first to do this with humanoids. At BMW's Spartanburg plant for pilot deployment of the Figure 02 humanoids, the robot successfully inserted sheet-metal parts into fixtures with millimetre-level precision in a real production setting. However, BMW clarified that as of March, only one Figure 02 unit was operating in the body shop, and no full-scale roll-out or schedule has been publicly confirmed. BMW noted the test phase gives “valuable knowledge” into multi-purpose robot integration, but emphasises further development and industrialisation remain ahead. Unitree H2 Packs 2,070 TOPS on Legs China's Unitree Robotics unveiled the H2 full-sized humanoid with 180 cm height, weighing 70 kg, a three-hour battery and featuring up to 2,070 tera-operations per second (TOPS) onboard compute and approximately three hours of operational runtime. With 31 degrees of freedom and sub-$30,000 pricing, the H2 marks a serious leap in accessible humanoid automation, targeting manipulation and service tasks. Other updates included more tricks by Unitree robots R1 and G1. Some of these include kung fu , anti-gravity mode, UFC combat , dance, and even winning four gold medals at the first World Humanoid Robot Games held in Beijing. NVIDIA Isaac GR00T N1 & Gemini Robotics NVIDIA dropped GR00T N1 in March. This was followed by the announcement of Isaac GR00T N1.6 model, integrating NVIDIA's Cosmos Reason, which helps robots turn vague instructions into step-by-step plans using prior knowledge and physics-based reasoning. The model, available on Hugging Face, also supported multi-task operations such as opening heavy doors. NVIDIA also launched its ‘ robot brain ' with real-time reasoning available for $3,499. Google DeepMind also launched Gemini Robotics 1.5 and Gemini Robotics-ER 1.5, vision-language-action models enabling robots to reason about physical spaces, plan tasks, and transfer skills across robot embodiments. This followed suit to Figure's Helix. HuggingFace Open Sources Hugging Face, a leader in open-source AI, announced the release of two open-source humanoid robots, HopeJR and Reachy Mini. The unveiling occurred as part of the company's ongoing expansion into robotics, following its acquisition of Pollen Robotics in April. HopeJR is a full-sized humanoid robot featuring 66 actuated degrees of freedom, enabling it to walk and manipulate objects with ease. Reachy Mini is a desktop unit designed for AI application testing and is capable of head movement, speech and auditory interaction. UBTECH Launches Walker S2 Shenzhen-based UBTECH launched its new generation of industrial humanoid robot, Walker S2 . Powered by a dual-loop AI system, the humanoid achieved progress in both single-agent autonomy and multi-robot collaboration. It claimed to be the world's first humanoid robot to achieve three-minute autonomous battery swapping and 24/7 continuous operation. It was also China's first robot featuring an RGB stereo vision system, with 52 degrees of freedom. It also completed what it claimed to be the world's first multi-humanoid robot collaborative training programme at Zeekr's 5G Intelligent Factory. This development transitions its robots from single-agent autonomy to swarm intelligence Sanjana Gupta An information designer by training, Sanjana likes to delve into deep tech and enjoys learning about quantum, space, robotics and chips that build up our world. Outside of work, she likes to spend her time with books, especially those that explore the absurd. Related Posts Sectors with high regulatory complexity and fragmented legacy systems continue to struggle. Digi Pravesh uses facial recognition and AI-based verification to create a secure and paperless entry experience. “This hub will encourage universities to design new courses and offerings”. In 2025, TypeScript overtook both Python and JavaScript as the most used language on GitHub. 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Hugging Face Frequently Asked Questions (FAQ)
When was Hugging Face founded?
Hugging Face was founded in 2016.
Where is Hugging Face's headquarters?
Hugging Face's headquarters is located at 9 rue des Colonnes, Paris.
What is Hugging Face's latest funding round?
Hugging Face's latest funding round is Unattributed VC.
How much did Hugging Face raise?
Hugging Face raised a total of $398.92M.
Who are the investors of Hugging Face?
Investors of Hugging Face include Bossa Invest, Salesforce Ventures, IBM Ventures, AMD Ventures, Sound Ventures and 53 more.
Who are Hugging Face's competitors?
Competitors of Hugging Face include Fireworks AI, Mistral AI, Cohere, Baseten, OpenPipe and 7 more.
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