Who We Are
Quadratyx helps global organizations build and operationalize their next-gen strategy, by leveraging deep capabilities in Big Data, Artificial Intelligence, Machine Learning, Unstructured Data Processing, Deep Learning and Advanced Analytics. Quadratyx can boast of more extensive experience in AI & Big Data than many other companies in this area. Our journey in AI & Machine Learning started in 1991, and has been going on uninterrupted since, in many vertical and horizontal domains – education, healthcare, agriculture, banking and financial services, manufacturing, retail, e-commerce, energy, governance, human resources, marketing, customer service and supply chain management.
We are a team of creative technologists that are passionate about data-centric intelligent solutions to problems that are all around us. We believe that the world has just started scratching the surface in Artificial Intelligence & Data Science, and that enormous unexplored potential exists for these technologies. We aspire to be at the forefront of data-centric decision-making and cognitive automation.
In practical applications of AI, Big Data & Intelligent Automation, Quadratyx offers Corporate Training & Consulting. Upskilling (through classroom training & e-learning) is available for CXOs, Middle-level Management as well as Execution Teams. Quadratyx is also chosen as their Analytics Partners and Center of Excellence Partners by major banks in India.
We wish to be the preferred provider in AI & Cognitive Automation globally. We wish to achieve multiple intellectual property elements and be recognized as a thought leader in our area, globally. We wish to be the most preferred employer in our space in India. As we grow from 100 to 1000 to 10,000 people, we wish to be driven by the same great values that guided us from the start, and provide a home-better-than home for each of our employees.
Future Road Map
We want to establish ourselves in multiple continents in the chosen areas of AI, Big Data and Cognitive Automation. We wish to increase our manpower by a factor of 10 in the next two years. We see tremendous opportunity for AI globally, and we wish to establish ourselves as thought and implementation leaders in this space.