Understanding Digital Conversations

About us


We are a deeptech specialized in the application of artificial intelligence to monitor digital conversations and provide visibility over the effectiveness of digital marketing campaigns


We help organizations make sense of digital conversations on social media and emerging digital spaces (e.g. metaverses).

We apply state-of-the art artificial intelligence to organize and retrieve digital information.


Sherlock: an AI-powered engine to monitor metaverse conversations.

Picasso: an AI-powered engine to monitor social media conversations.

Eve: a neural-search engine to index and retrieve digital information.

Case studies

We have delivered value to multinationals such as Centrica, Google as well as public institutions such as University College London, the spanish national cybersecurity institute and the United Nations.



Social Media Listening

We help our clients to understand and process digital conversations taking place on social media, helping them to evolve their digital marketing strategies and optimize their spending on digital marketing.


We customise advanced, AI-powered, search services that allow companies to organise and retrieve information using neural search techniques. By way of Eve, CyberBlue’s neural search engine, we have delivered value to companies and public institutions such as UCL, refer to the case study(link to case study).

Metaverse Analytics

The Metaverse stands to alter how we allocate and monetize modern resources. As more consumer spending shifts to virtual goods, services, and experiences, we’ll also see further shifts in where we live, the infrastructure that’s built, and who performs which tasks.




Picasso is our social media listening engine. It relies on artificial intelligence to process digital conversations and extract relevant insights such as emotional intent, entities. It also finds who is driving conversations and patterns of amplification.

Picasso is being used at the moment to monitor disinformation campaigns as well as to measure the effectiveness of marketing campaigns of several companies.


Sherlock is our neural-search engine. It relies on deep learning techniques to index and retrieve multimodal information (e.g. images, text).

Sherlock has been used to index financial information for University College London. It is being used at the moment in several early stage projects for the United Nations.