Building a quality media ecosystem

A fact-checking community, leveraged by artificial intelligence

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Proudly backed by the Google Digital News Initiative

Reducing online misinformation, powered by artificial intelligence

For journalists, media enthusiasts, newsreaders and the general public

We are building a system to provide more context on information and perspectives on news, so that ultimately we can provide the public with a better informed opinion on the world. Our platform will assist journalists, fact checkers and anyone in the public to detect, verify and fact check media information in close to real time.

For advertisers and businesses

We are building a quality score to help advertisers avoid placing advertising on fake news, hate speech, and extremist content, to kickstart the next generation of per-URL atomic brand safety and contextual content segmentation. We also help other businesses spot fake and misleading information at scale. Email for more details on our solutions and how our technology can fit your use cases.

Our Team

We are a team of machine learning and natural language processing researchers

Dhruv Ghulati

CEO and Research Scientist

Dhruv holds a Distinction in Computer Science and Machine Learning from University College London, and a 1st Class BSc in Economics from the LSE. He was a product manager and co-founder of two London based machine intelligence startups, and Entrepreneur First alum. He wrote his thesis in cost-sensitive classification and distant supervision for statistical claim detection.

Dr. Robert Stojnic

CTO and Head of Engineering

Robert has been at Wikipedia in the early days where he designed, implemented and managed the search on Wikipedia. After that he went on to apply machine learning to problems in biology and genomics, earning him a PhD at University of Cambridge in 2012. Since then he has been a post-doctoral researcher and CTO at GeneAdviser which developed software for the NHS.

Martin Robbins

Product Manager

Product manager and writer, with a background in artificial intelligence, natural language processing, writing and journalism. Martin spent over 7 years at The Guardian writing for the "Raising HAL" blog on AI, data, culture and politics. Before that he did his bachelors in Computer Science and Artificial Intelligence at Aberystwyth University. His mission is to "fix the news".

Andrei Suiu

ML/NLP engineer

Andrei started his career as a malware research engineer, disassembling binaries and reverse engineering viruses. As CTO of a previous startup, he created an AI system that was able to generate unique and fake content in English, as well as a distributed network of web robots posting this content on various public forums, blogs and social networks. Having had experience producing fake news, he moved to Amazon to build self-learning infrastructure to fight web robots.

Rishabh Shukla

NLP Engineer

Rishabh has been the CTO at Neuron, a New Delhi based machine learning startup, and involved with research and development of Scalable Deep Learning Models for Natural Language Processing (NLP). He is an active open source contributor and Google Summer of Code Intern. He is interested in working with Generative Models and carrying out research work in the field of Natural Language Understanding (NLU), and holds a Bachelor in Technology (B.Tech) from SMVDU, Jammu.

Dina Pisarevskaya

NLP Engineer

Dina has a masters in NLP from the Higher School of Economics in Moscow. She published multiple papers on deception and fake news detection in Russian Language and contributed to research at the RusProfilingLab and Russian RST Treebank.

Marcus Clements

Backend developer

Marcus is a software engineer with nearly two decades of experience architecting and implementing applications for the media industry. When he is not busy with the team combatting the spread of misinformation on the Internet, he spends his time studying for a research MSc in Artificial Intelligence at Hertfordshire University.

Martin Stastny

Full-stack developer

Martin is self-taught developer. He started to work as a freelance Front-end developer / Web designer back in 2009. Through his carreer he was working with several digital ad agencies from microsites to e-commerce portals. Before joining Factmata he worked as Senior Front-end / Lead developer at Reiss London on replatforming their website.


Dr. Sebastian Riedel

Scientific Advisor

Sebastian is a Reader at University College London and leading the Machine Reading Lab. He is an Allen Distinguished Investigator, Marie Curie fellow and received a Google Focused Research award. Sebastian is generally interested in the intersection of Natural Language Processing and Machine Learning, and particularly interested in teaching machines to read and to reason with what was read. He has published various papers on this topic, covering questions related to scalable inference, probabilistic programming and representation learning.

Dr. Andreas Vlachos

Chief Research Scientist

Andreas is a lecturer at the University of Sheffield, working on the intersection of Natural Language Processing and Machine Learning. Current projects include natural language generation, automated fact-checking and imitation learning. He has also published research on semantic parsing, language modelling, information extraction, active learning, clustering and biomedical text mining.

Join us in our mission

We are hiring full stack engineers, UI designers and NLP engineers to help solve the problem of computational fact checking

See Open Positions

Press and Media

“Today, experts come at us from all directions, in every medium, through every niche. How can we know whether the ‘experts’ who dominate the public discourse really are expert?”


“If we are not serious about facts and what’s true and what’s not, if we can’t discriminate between serious arguments and propaganda, then we have problems.”


“The global risk of massive digital misinformation sits at the centre of a constellation of technological and geopolitical risks.”


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