Hugging Face
Hugging Face is an AI company that develops open-source machine learning libraries, models, and tools, best known for its Transformers library and collaborative model hub. It serves developers, enterprises, and researchers by providing infrastructure, hosted APIs, and managed services to build, deploy, and share AI models. The company generates revenue through paid platform features, enterprise subscriptions, and cloud-based inference and training services.
- MLOps & ML Platforms
- Generative AI Platforms
- Document & Vision AI
- Revenue
- $45.0M
- Employees
- 250
- Founded
- 2016
- Headquarters
- Paris, France
What 147 Arbolus experts think of Hugging Face
NPS scores are overwhelmingly positive, with over 80% of respondents rating 8 or above. Renewal intent is strong, especially among high-spending enterprise and influencer roles. Stickiness is high; most users report usage beyond one year or integration in critical workflows. Expert feedback consistently highlights the breadth of the model ecosystem, ease of experimentation, and strong developer community as primary positives, while concerns focus on model quality variability, cost at scale, and production deployment complexity.Overall Customer Sentiment: Positive
Who reviewed Hugging Face
- C-Suite 68% (100)
- Director 16% (24)
- Manager 16% (24)
Employer names and spend open in the full report, along with the other 144 customers.
Everything 147 customers told us about Hugging Face.
Employer names, spend, renewal intent and every written answer behind the numbers on this page.
Sentiment
61 Net Promoter Score, from 147 scored reviews- Promoters 94
- Passives 50
- Detractors 3
Cumulative NPS by month
+0 over 6 months- May 9
- Jun 9
- Jul 9
- Aug 9
- Sep 9
- Oct 9
Net Promoter Score across 9 reviews, accumulated up to each month. Category median 50 across 9 companies.
Praised
- Unmatched Open-Source Model Ecosystem
- Turnkey Infrastructure and Rapid Deployment
- Ecosystem Breadth and Community Depth
- Streamlined Production Workflow
Criticised
- Rise of Automated AI Agents and Alternative Marketplaces
- Cost and Complexity of Dedicated Inference
- Cloud-Native AI Registries and Infrastructure Providers
- Cost Scaling at Volume
What customers say
Renewal intent
Plan to renew 76%Plan to renew, by seniority
- 81% 43 answers
- 71% 7 answers
- 75% 4 answers
- 40% 5 answers
- 9/10 Average score from customers who will renew
- 7.2/10 Average score from undecided customers
- 8.5/10 Average score from customers not renewing
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