Data Science Services

Our data science experience dates to 2005, when we developed technology for the first web-scale Semantic Web startup. This innovative project consisted of building a clustered solution for scalable Natural Language Processing (NLP), Europe’s first commercial use of Hadoop (early 2006) and one of the first implementations on the global stage. We provide Big Data architecture and Big Data analytics and have delivered data science and AI solutions to companies working with structured, semi-structured and unstructured data at any scale.

We’ve established partnerships with leading institutions to work on breakthroughs and integrate them into data solutions. This includes R&D projects in data science, web science, semantic technologies, Big Data, collective intelligence, water management, citizen science, smart cities, transportation, mobility and hybrid cloud with academic institutions (Southampton, Sheffield , TU Berlin, EPFL, TU Delft, Koblenz and Landau, Open University, Cantabria), as well as research centers (CERN, Cyfronet, JRC, PSNC, Esade, AARNet, CESNET, SURF, SWITCH, European Open Science Cloud, European Grid Infrastructure).

Bespoke data science solutions developed by our specialists create and integrate various models (predictive, social, physical, water and air quality) and AI components. Our experts deliver ML and AI solutions for chatbots, smart cities, transportation, document management, optical character recognition (OCR), collective intelligence, crowdsourcing, social media data mining, sentiment analysis, investment, well-being, water management, search and privacy protection. Data science environments and MLOps empower organizations with tools to speed up and streamline their ML workflows. Data collection, model training and deployment, integrated platforms for data scientists enable efficient development and implementation of ML models.

Since using a bare-metal cluster for scalable data analytics in 2005, we have continually elevated our skills and gained experience in data management and data science in private and public clouds, gradually moving to cloud-native technologies. Our data science solutions, delivered in the cloud, on-premises and in the hybrid cloud, provide distributed data science environments and technologies in federated clouds.

Our experienced team leverages the local processing capabilities of mobile devices to reduce reliance on cloud services and lower costs. Accelerate your growth with a team that has a record supporting data-driven decisions in a distributed cloud of resource-limited mobile devices and developing products that process sensitive data. We create efficient algorithms to optimize data processing, communication and storage in a resource-limited environment. Our teams address privacy concerns connected to designing and implementing secure systems for processing sensitive data by anonymizing, encrypting, securing, transmitting and storing data. Taking advantage of federated learning enables us to craft distributed and secure analytics for mobile devices to generate insights and drive decisions, without compromising user privacy.

Data science solutions, combined with highly skilled, autonomous and agile development teams, enable us to create revolutionary products that help companies innovate faster and speed up time to market. Our data science services are often part of digital transformation projects that introduce new architectures, break monolith products into microservices, migrate systems to the cloud and build real-time data pipelines. Through data discovery and Business Intelligence, our teams can help you become a more data-driven enterprise.

By selecting the right tools and proven solutions, your company can use cutting-edge technologies (NLP, NoSQL, ML/AI, hybrid cloud, cloud native) to design new approaches, leverage data to understand customer needs and develop innovative solutions. When designing distributed and decentralized systems, we use real-world experience in a variety of Big Data and data science projects and identify resources available for data processing, as well as the best way to utilize them. Understanding the different types of data that can be used for decision-making and how to access and process them effectively is crucial for generating business value. Our expertise with integration tools helps configure and utilize different components of a distributed cloud, such as storage, databases and service layers.

Improve efficiency and productivity by receiving a comprehensive suite of data-driven solutions. Implement data architectures (data lake, data lakehouse) by building a secure and compliant environment, establishing a data catalog to enable data governance and lineage, creating automated data pipelines to streamline ETL/ELT processes and integrating them with existing data sources. We help introduce self-service Business Intelligence by sharing tools, strategies and insights to enable users to easily access and analyze data so that businesses can make more informed decisions, improve operational intelligence and maximize data value. Our solutions help companies save time, money and resources by automating data processing for quick deployment of ML models.