Powered by Insights - Data Science and AI Laboratory

BIG DATA IN ONLINE PLATFORMS

Know your customers better than they know themselves

Predict your customers' behaviour

Discover new opportunities

NATURAL LANGUAGE PROCESSING

Transform unstructured text into something meaningful

Identify the key elements in the messages

Understand the mood of your customers

ARTIFICIAL INTELLIGENCE IN IoT

Automate your product

Optimise your resources

Detect failures before they happen

Data-driven online service

So you have an online service and a ton of data. Great! We will help you create a data strategy!

Using services such as Apache Spark, Apache Kafka/RabbitMQ and PostgreSQL, we can engineer new features which interpret the behavior of your users to help you drive your business decisions.

We can develop analytical and machine learning algorithms in Python and R to help you with problems such as Churn Prediction, Content Recommendation and many more!

Natural language processing

So you are trying to deal with a lot of text data. Congratulations! Let's analyse your text data potential!

With Python and tools such as the Natural Language Toolkit and word embedding, we can turn messy text into meaningful structures.

We can develop a system that has ability to help you understand and classify your users based on the text they write!

Autonomous systems

So you are playing with robots and other stuff which use sensors to determine their next actions. Cool! Let's do rapid prototyping!

With robotic simulators and mathematical modeling in R or Python, we can engineer new smart prototypes which will make your IoT more autonomous and efficient.

We can develop predictive and prescriptive algorithms for your devices using neural networks and online learning to make your customers happy!

HOW IT WORKS?

Business analysis

The first thing to do is get insights from data and create an ontology so that we can create a precise plan for leveraging Data Science and Artificial Intelligence

We will help you describe your processes and create a metric so that you can transfer abstract business goals into precise states and variables defined by data

Engineering

Data-driven technologies are demanding in terms of memory and computing power. We will help you to get your infrastructure ready

After that, we will design ETL pipelines which turn raw data into features that are usable in predictive and machine learning algorithms. You will be able to unleash the potential of your data

Data Science and AI prototyping

This is where the real fun begins! The essential task in each case is to engineer features which yield information that is correlated with abstract business problems

Then we will explore several mathematical models to find out which one is the best at addressing the problem. After that we will use our state-of-the-art framework to tune the parameters of the model so that it meets your needs