Hugging Face, which is building an open source library for natural language processing technologies, raises $40M Series B led by Addition
Context & Ripple Effects
Hugging Face's $15M round in late 2019 funded an open-source NLP library that grew out of a consumer chatbot app; the $40M Series B led by Addition marks the point where that library becomes the company's core business rather than a side project.
The trajectory since confirms the bet paid off at scale: a $100M Series C at a $2B valuation followed within about a year, then a [[a:1156537|$235M Series D backed by Salesforce, Google, Amazon, Nvidia and other chip and cloud giants]] — the same companies whose models and infrastructure depend on open distribution channels.
First-order effects
- Addition's $40M gives Hugging Face the runway to scale its NLP library team and infrastructure while staying open-source, with no revenue model yet disclosed to constrain hiring.
Second-order effects
- Cloud providers and chipmakers watching the library's adoption end up investing directly by the Series D stage, effectively funding the neutral layer their own AI products run on top of rather than competing with it.
Third-order effects
- The pattern points toward open-source model hubs becoming shared industry infrastructure — later extended via the XetHub acquisition for large-scale model collaboration and an open-source offering built with AWS and Google — with corporate backers preferring to co-own a common layer than fragment it.
The trend: Open-source AI tooling is consolidating into venture-backed platform companies whose cap tables increasingly include the cloud and chip vendors that depend on them.