Solution | Qualia - Information that finds you

Information that finds you

Qualia is a global social intelligence tool that analyzes on-line conversations about your brand, products, competition and industry. Interact with Qualia in Slack, Messenger, Trello, e-mail and its web application.


Qualia proposes a new type of search. One that starts with the user keywords, retrieves relevant data, breaks down the business questions into signals that are computed from the data and makes sense of the signals in order to answer your initial questions. Qualia is a digital assistant that delivers to the user the most actionable data that is needed immediately and everywhere.


Is there a specific business question you need to answer from your data? Looking for direction and perspective in your market? Facing a business choice or dilemma? Got an idea? We'd love to help. It all starts with a contact.


Qualia provides, apart from its platform, a full suite of services across different aspects of business intelligence. We are a full service data science company. All our services are made by humans for humans, with the help of the machine.

Slack Integration

Qualia is an agent that analyzes millions of information sources around the world such as news, blogs and social media, and notifies you when it identifies an event of special importance that concerns your topics of interest. Connect Qualia to Slack and power your team collaboration and communication with smart alerts and instant insights.


Maximizing the spread of a campaign

One of the largest Greek banks asked Qualia to maximize the spread of a rumour in the social media concerning a fictional football player who was supposedly summoned by the national team manager to join the team.
We selected a small group of influential opinion leaders that would accelerate the adoption of the initial rumour. We started with a seed list of journalists, athletes and celebrities who frequently post about sports on Twitter or on their blogs. We enriched the initial set, in an iterative manner. In each iteration candidates were re-ranked according to their importance in the community, that was measured as a function of followers, Klout score and centrality. We also filtered the candidates that were strongly biased in favor of a specific Greek football club or expressed negative emotions towards team Greece.
We had covered 70% of the Greek Twitter domain until the rumour was revealed 36 hours later. Each user was exposed to 3 messages which means that we had practically covered the active Greek Twitter domain 3 times. The video of the campaign reached 850Κ views on YouTube and 10K interactions on Facebook.