Who we are
We are a fast-growing, research-focused company offering publishers of all sizes the most advanced technologies to help automate and optimize their content. Our team consists of the smartest and most talented individuals from all parts of the world who are passionate about the innovations we deliver.
Our Story
We were founded in 2013 in London by Antoine Amann, who saw an opportunity for machine learning based automation in the publishing industry. Soon thereafter, Marc Fletcher joined as CTO after completing his PhD.
Back then, the notion of automation in the newsroom was a foreign one, and it took years of extensive R&D to build a product that would convince leading publishers to adopt automation. Today, over 1000 publishers in over 100 countries rely on our automation, including some of the world’s most prestigious publishers.
Our technology currently publishes over 10 million pieces of content and reaches billions of readers for our clients each year.
We are a very international company. Although our headquarters are in London, we have employees in over 15 countries. We’re proud of our global footprint and intend to keep expanding in all parts of the world.
100+
Amazing employees
100+
Countries with presence
12
Languages spoken
1000+
Customers
2
Key patents
+90%
CEO approval on Glassdoor
Our Drive to Innovation
From day one, we’ve been a strong believer in continuous innovation. Our data science and engineering teams work on some of the hardest problems in the fields of machine learning and artificial intelligence. This allows us to provide our clients with an exceptional product that both amazes and delights them.
We’ve designed Echobox using advanced product management methodologies and a strong focus on simplicity. Our clients enjoy using our product and we keep making transformative improvements.
Most machine learning based technologies that form part of Echobox had to be built from the ground up. We’ve developed unique innovations that exist nowhere else, such as a breaking news detection engine, an algorithm that reverse-engineers Facebook’s Newsfeed algorithm, Audience Graphs (a novel way to mathematically represent a publisher’s audience), and many more.
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