About us

Explosion AI is a digital studio specialising in Artificial Intelligence and Natural Language Processing. We design custom algorithms, applications and data assets. We're the makers of spaCy, the leading open-source library for advanced NLP and Prodigy, a new annotation tool for radically efficient machine teaching.

Matthew Honnibal

Matthew Honnibal

Matthew is a leading expert in AI technology, known for his research, software and writings. He completed his PhD in 2009, and spent a further 5 years publishing research on state-of-the-art natural language understanding systems. Anticipating the AI boom, he left academia in 2014 to develop spaCy, an open-source library for industrial-strength NLP.

Ines Montani

Ines Montani

Ines is a developer specialising in web applications for AI technology. She's a core developer of the spaCy Natural Language Processing library and the Prodigy annotation tool. Before founding Explosion AI, she was a freelance front-end developer and strategist, using her four years executive experience in ad sales and digital marketing.

We believe...

  1. Artificial Intelligence is not magic. The technology is only useful if it's easy to understand.
  2. The best AI products won't be built from boxed solutions. Developers need custom models and transparent tools, not just cloud services.
  3. AI software needs better developer and user experience. This requires hybrid skill sets and radical attention to detail.
  1. If you ship it, you should own it. We believe in taking responsibility for our software, and letting you do the same.
  2. Technology should be accessible. We want to provide the most value with open-source software. That's why we've built spaCy and our other tools and libraries.
  3. We're not your typical startup. We're boot­strapped, independent and put stability over moonshots.

Media & Press

Frequently Asked Questions

How is what you're offering different from Google's or Microsoft's Cloud APIs?

First, we're not offering a service or an API. spaCy is an open-source library that you can run yourself and customise in ways that would be impossible for a cloud provider to support. This is particularly true for Deep Learning, where you want a tight integration across your model, including the ability to backpropagate errors through your whole pipeline. Companies nowadays need custom statistical models, tuned for their data, and developers need transparent tooling and technologies. We think there will always be a use case for cloud APIs, but at the same time, we believe that the best products won't be built from boxed solutions.

How do you make money?

Our annotation tool Prodigy has a simple once-off pricing model — it's old-fashioned "buy it, download it and use it" software. We're also a "normal" business, rather than a venture-backed start-up. We're a self-funded company valuing stability over growth, and profits over revenue. We chose to run our company this way because it's better for us, but we hope you'll find it's also much better for you. It makes us spaCy users as well as developers. This keeps our interests well aligned with the rest of the community, in a way that "enterprise support" or "open core" business models consistently fail to do.

Are you available for consulting projects?

We still believe that the best way to do AI is in-house — one-size-fits-all solutions still don't work, and we don't see that changing. However, we no longer have availability to take on consulting projects ourselves. If you send us an email explaining what you're working on, we might be able to introduce you to someone who can help.

Can I apply for a job at Explosion AI?

We're currently not hiring for any positions. However, some of our work is project-based, so we occasionally work with remote freelancers with expertise in Machine Learning and NLP. If you'd like to work with us, feel free to get in touch.