AI + human
Our mission is to make programming so intuitive that automating tasks becomes as natural as teaching a colleague.
Machine learning and AI represent a new paradigm and it requires a new approach. We're starting with tools that makes it easy to rapidly annotate data, train and deploy natural language processing (NLP) models with humans in the loop.
Every company could benefit from software that better understands language but building NLP systems today requires specialist expertise and unreasonable amounts of human annotated data.
We're building the future in which AI gives people the ability to achieve things that today can only be done by a tiny group of specialists.
The true impact of Artificial Intelligence is far from being realised.
Meet the team
Meet the team
Our team have previously worked on some of the largest AI projects at Google, Microsoft and Amazon. We're backed by some of the world's top investors including Index Ventures and Y Combinator.
Emine Yilmaz
- Professor at UCL, Turing Fellow and Amazon Scholar
Peter Hayes
- Machine Learning PhD UCL, cofounded Certua
David Barber
- Head of UCL's AI Center, cofounded Re:infer
Jordan Burgess
- Amazon Alexa Research, ML MPhil @ Cambridge and CS @ MIT
Raza Habib
- Machine Learning PhD UCL
Mike MacCana
- Founded CertSimple, built products for Google, Microsoft and Red Hat
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Our Process
We believe that the real reason we'll succeed though is because we're committed to learning and growing as quickly as possible. We know there's lots we don't know. What we're doing is fundamentally new and will require overcoming many hurdles. This excites us. If this excites you, join us.Legal
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Newsletter on the future of AI in the workplace (and the infrequent company and product update)