Artificial Intelligence Machine Learning Big Data

Over the years we have developed extremely vertical skills that allowed us to create tools currently used by Fortune 500 companies for analyzing and visualizing big data from social and mass media.

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Artificial intelligence
With the use of AI we can process large amounts of data and recognize patterns. Programs can now make decisions with little human interference.

AI is often regarded as something extremely complex and nebulous, yet AI it’s nothing but the ability of a computer program to think and learn on its own. Below you can see how we implement machine learning on big data.

AI has revolutionized the way in which we build applications and get insights from data. We’ve developed a set of models that can be used to create better processes, launch new web services and obtain a competitive advantage.

Text analysis and NLP

With text analysis, we can transform large unstructured text data into understandable insights, in order to do that we split documents into tokens and then understand each token’s role and meaning within the context.

ML applied to Text Analysis and NLP model

ML Classification Models

Machine learning is divided into three categories: supervised learning, unsupervised learning and semi-supervised learning.

ML Classification Models

Big Data Management

Through AI, we can help you at all stages of the big data cycle: from collection to storage to retrieval to aggregated visualization. Crucial measures for identifying patterns, making decisions, and anticipating events.

Big Data management
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The future is here, be part of it.
We will help you create value with our Machine Learning solutions.

Fields of application

Let's see where we can help you

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Social media

Users create an immense amount of data through social media interactions. We can use Machine Learning to analyze this data and make sense of it.

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AI is responsible for most increases in conversion rate with applications such as product recommendations or chatbots. We can predict optimal stock levels and price points.

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Internet of things

Whether the data comes from factory machines or from chips installed into trees, we can manage, analyze and create meaningful insights with the data, which means, for instance, predicting when a machine will break or a tree will fall.

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Business intelligence

Traditional BI tools require analysts' heavy data manipulation. We believe that the future of BI will be an AI-powered system that ends manual processes and allows focusing on the strategy.

Case Studies

Pulsar: Social Media Listening Platform

Pulsar is fast growing audience intelligence company based in London. We have developed Pulsar's technologies that enable organizations to understand and draw insight from online conversations across a fast-evolving set of global social media platforms, traditional media and data sources.

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A screenshot of PULSAR's dashboard.
Pnat: IoT dashboard for monitoring tree's health

Pnat hired us to develop an IoT Dashboard that gathers data from chips installed into trees, stores the data in the cloud, and performs predictive analysis on it in order to program trees' maintenance.

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Pnat's team
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Enabling Digital Innovation






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