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.

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 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.
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 Prodigy, an annotation tool for radically efficient machine teaching. 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.

Let’s work together!

We don't know whether we'll be able to take on your project — but we do know how to find out. You don't have to send us an email or book a phone call. It'll only take you a few minutes to fill out our compatibility questionnaire.

Get in touch

Frequently Asked Questions

Here are some of the things we're asked about the most – and our answers.

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

First, we're not offering 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 guys make money?

We're a self-funded, bootstrapped company. So far, we've mostly been making money from consulting projects and other cooperations. This lets us provide our developer tools like spaCy as free, open-source libraries — and we'll always keep it that way. In the future, we're planning to offer a variety of highly specialised pre-trained models and other resources for Machine Learning and NLP through an online shop. We believe that you should own your tools and data, so all our products will be available as downloadable content with lifetime licenses.

What types of consulting projects do you normally take on?

The ideal project is solving a Machine Learning or Natural Language Processing problem with a clearly defined scope. We like moving fast and shipping small deliverables quickly, ideally within less than three months. We also strongly prefer projects with an objective numeric evaluation, for example an accuracy score. This lets us keep the specs short and makes it easier to define success. We don't usually like building entire products — some of our most successful projects have been with companies looking to add more Machine Learning features to their existing products or internal processes.

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, Natural Language Processing and DevOps. If you'd like to work with us, feel free to get in touch.