We have the expertise necessary to define data driven strategies and architecture. We then provide the engineering required to build and deploy data products and accelerate your data pipelines. We develop a new wave of data applications applying state-of-the-art techniques and approaches in machine learning, cluster computing, graph databases and streaming analytics to solve problems, enhance business knowledge and provide advanced analytics for decision making.

Our Data Science team focuses on solving large scale data problems, predicting outcomes, finding hidden patterns in both structured and a wide variety of unstructured types of data (such as social media content, textual data, images, audio and video streaming), and using distributed and massively parallel big data and stream processing solutions.

By applying state-of-the-art approaches and techniques in advanced analytics, modeling and machine learning, our data science solutions enable near-human level understanding of data, fast access to complex data with tremendous flexibility at scale through graph databases and pipeline acceleration. These new technologies provide organizations with a competitive edge by minimizing their risks when making business-critical decisions.