Hugging Face
Category: AI Developer Tools
Hugging Face is the leading open-source AI platform hosting 1M+ models, datasets, and ML tools for 15M+ builders Hugging Face was founded in 2016. The company is led by Clément Delangue. Based in Brooklyn, New York, USA. Team size: 170-450. Total funding raised: $395.2M. Latest round: Series D, $235.0M, 2023-08, led by Salesforce Ventures. Key investors include Nvidia, Google, Amazon, Salesforce, AMD, Intel, Qualcomm, IBM.
AMW Analysis
Hugging Face, founded in 2016 and based in Brooklyn, New York, operates as an open-source AI platform hosting more than 1 million models, datasets, and machine learning tools for over 15 million builders, positioning itself around democratizing access to AI through open collaboration. The company has raised $395.2 million to date, with its most recent round a $235.0 million Series D in August 2023 led by Salesforce Ventures, alongside a strategic investor base spanning Nvidia, Google, Amazon, Salesforce, AMD, Intel, Qualcomm, and IBM.
Recent news flow highlights both the platform's technical resilience and the moderation challenges tied to open distribution at scale. In July 2026, Hugging Face disclosed that it detected and repelled a sophisticated AI-driven cyberattack on its production infrastructure, using an autonomous agent network built from compromised endpoints for code injection and lateral movement, and countered it with the open-weight model GLM 5.2. That same month, researchers publicized a moderation gap in image-editing Spaces hosted on the platform, showing several tools could be exploited to generate nonconsensual content. Separately, the platform continues to support community activity such as the BigCode leaderboard, which now includes DeepSeek Coder submission results.
AMW analysis, generated from 3 tracked news signals.
- Founded
- 2016
- Headquarters
- Brooklyn, New York, USA
- Team size
- 170-450
- Total funding
- $395.2M
Value proposition
Democratizing artificial intelligence through open-source collaboration, making it easy to access and share state-of-the-art models and datasets.
Products and solutions
Hugging Face Hub (repository for models, datasets, and demos), Transformers Library (for NLP), Diffusers Library (for generative models), LeRobot Library (for robotics), Inference Endpoints (for deploying models), AutoTrain (for automated model training), Enterprise Hub (for private, secure deployments), GGML / llama.cpp / GGUF local inference stack (via Feb 2026 ggml.ai acquisition)
Unique value
Its core uniqueness lies in its community-driven, open-source approach, becoming the central 'GitHub for machine learning' where the community collaborates on models, datasets, and code.
Target customer
AI/ML Developers, Researchers, and Enterprises implementing machine learning solutions.
Industries served
Technology, Research, Artificial Intelligence/Machine Learning, Robotics, Healthcare, Finance, Enterprise Software, Cloud Computing
Technology advantage
The strong network effect of the Hugging Face Hub, which has become the industry standard for hosting and discovering ML assets. This creates a defensible moat built on community and open standards.
How they differentiate
Hugging Face differentiates by being an open, neutral, and multi-cloud platform, in contrast to the proprietary, full-stack ecosystems of its main competitors. It focuses on empowering developers with tools rather than owning the end-to-end models.
Main competitors
OpenAI, Google (Vertex AI), Databricks
Key partnerships
Google, Amazon Web Services (AWS), Microsoft, Nvidia, Intel, IBM, Dell, Meta, Scaleway, LangChain, Groq, Protect AI, DigitalOcean, JetBrains
Notable customers
ServiceNow, Grammarly, Bloomberg, Intel, Qualcomm, Microsoft, Amazon Web Services (AWS), Google, IBM
Major milestones
Achieved a $4.5 billion valuation in its 2023 Series D funding round., The 'transformers' library became the de facto standard for NLP development., Successfully expanded from software into the robotics space with the 'LeRobot' framework., Partnered with major cloud providers like Google, AWS, and Microsoft to integrate their services., Acquired ggml.ai (creators of llama.cpp/GGUF, 95,000+ GitHub stars) on Feb 20, 2026 to anchor local/on-device AI inference., Expanded strategic partnership with Qualcomm (June 2026) to onboard 3M+ open models across Snapdragon/Dragonwing/Dragonfly and build agentic orchestration tooling., Expanded partnership with Nvidia (July 2026) adding Nvidia robotics models/tools to the LeRobot open robotics library.
Growth metrics
The Hub hosts over 1.7 million models, 400,000 datasets, and 600,000 applications, with over 100,000 stars on GitHub for its 'transformers' library.
Market positioning
Positioned as the leading open-source community and platform for the AI/ML ecosystem, essential infrastructure for developers not locked into a single cloud or model provider.
Geographic focus
Global
Patents and IP
Not publicly disclosed, focus is on open-source innovation.
About Clément Delangue
Clément Delangue is the co-founder and CEO of Hugging Face, an AI company that has become a central hub for the machine learning community. Under his leadership, Hugging Face has grown to a valuation of $4.5 billion and hosts over a million open-source repositories. Before Hugging Face, he held roles at several tech companies, including mention, Moodstocks, and eBay, where he focused on product and marketing. His work reflects a strong commitment to open-source principles and the democratization of AI.
Latest news about Hugging Face
- Hugging Face Reportedly Explores Sale That Could Value It Above $13B
- Hugging Face data shows Qwen dominance, US open-weight focus shifts to hardware
- Hugging Face argues open-weight AI models key for cyber defense during attacks
- Hugging Face hack marks start of agentic AI cyber era, execs warn firms 'don't even know it'
- Hugging Face CEO warns China's open-source AI strategy could challenge US dominance
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Official website: https://huggingface.co/
