Our Technolgies

Bringing research and advanced development to the forefront enables our professionals to take emerging technologies from hype to reality, and we are here to uncover tremendous opportunities for you.


AI &
Data Science

Our products use the following AI and ML techniques for extracting knowledge from structured and unstructured data, and they use this knowledge to enhance decision-making, make predictions, automate laborious tasks, and much more.



Computer Vision

We train algorithms to identify objects and patterns in images and video. Once trained, these act on new data to achieve almost the same accuracy as humans but at speeds that are several thousand times faster. We apply real-time scene detection to medical image processing, industrial machinery, video surveillance, construction equipment, and other system that collect and process visual data.



Natural Language Processing

We use several proprietary and open source algorithms for semantic and syntantic processing and understanding of English and related languages. In turn, this is used for summarization and natural language generation.



Big Data

We take a scientific approach to solving the challenges of large volumes of data and help businesses streamline complex data processing operations. As a result, they gain mission-critical insights that unlock data-driven decisions across their entire organization.


Internet of

We enable manufacturing and supply-chain industries (including retail and consumer packaged goods industries) to uncover actionable insights with the help of our robust AI-Legos platform that exploits big data, machine learning, cognitive computing, and related technologies.

  • IoT data platforms

    Providing a scalable data management platform (cognitive bricks) that collects, stores, and analyzes data from gateways, sensors, and devices across supply chain networks, manufacturing plants and construction zones.

  • Embedded, sensor-level analytics

    Making IoT devices and sensors smarter and more independent, thereby enabling them to make intelligent decisions by turning large amount of raw data into insights.

  • Intelligent automation

    Applying AI to sensor and device data to make IoT more independent in analyzing the current context, predicting next steps, and taking automated actions.

  • Cognitive computing

    Developing systems that rely on data mining, natural language processing, and computer vision to mimic some aspects of the human brain, e.g., understanding and learning.