Hugging Face

huggingface.co

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Founded

2016

Employees

501-1000

Pricing

Public pricing page

AI Classification

DataAIAI/ML Platform

Hugging Face is an AI/ML platform company that hosts over 2 million models, 500,000 datasets, and 1 million applications on its open-source Hub, serving 50,000+ organizations from individual developers to enterprises like Google, Amazon, and Microsoft. The company monetizes through tiered SaaS plans (PRO, Team, Enterprise), GPU compute, inference endpoints, and data storage, generating approximately $70M in annualized revenue as of early 2025.

Deep Intelligence

Buying Signals

Raised $235M Series D in August 2023 at a $4.5B valuation, with strategic investments from Google, Amazon, Nvidia, Intel, AMD, Qualcomm, IBM, and Salesforce — indicating major enterprise ecosystem buy-in and growth capital deployed.
50,000+ organizations actively using the platform, with named enterprise customers including Google, Amazon, Microsoft, Intel, and Grammarly visible on the homepage.
Launched a new Data Storage product (marked 'NEW' on pricing page) with per-TB pricing tiers, signaling active product expansion beyond model hosting.
Pricing page lists GPU compute options up to 8x NVIDIA B200 at $74/hour, indicating investment in high-end inference infrastructure to serve large enterprise workloads.
Open-source repositories show explosive community traction: Transformers at 158K GitHub stars, smolagents at 26K stars, and TRL at 17K stars, reflecting strong developer adoption momentum.

Account Scoring

Tier ALow Churn RiskRecently Funded

Pain Signals

Scraped 'about' and 'company' URL paths resolved to individual user profiles (Sergei, Sawyer Frese) rather than a corporate about page, suggesting the company's marketing site structure may not follow standard B2B conventions — limiting discoverability of leadership and company narrative.
Free tier and heavy open-source orientation creates competitive pressure from self-hosted alternatives (Ollama, BentoML), making enterprise upsell conversion a likely ongoing challenge.
No explicit customer case studies or ROI documentation visible in scraped homepage or pricing content, which may limit conversion of enterprise prospects evaluating against cloud-native alternatives like Vertex AI or SageMaker.