1.       Artificial Intelligence

Artificial intelligence and its applications are endless. We are working on applications like healthcare, surveillance, social media, education and so on.

2.       Autonomous Vehicle

Autonomous vehicle also known as self-driving car. Some applications of deep learning methods we have handled in self-driving cars are path planning, motion control, pedestrian detection, anomaly detection and traffic sign and light detection.

3.       Big data

Big data found its application in banking and securities, education, understanding customer behaviour, natural calamities, high frequency stock trading and so on. We have experience in social media based sentimental analysis, stock market prediction in Big Data.

4.       Bioinformatics

Bioinformatics or computational biology, is the science of interpreting biological data through computer science. Vast applications using disease diagnosis, severity analysis, Biomedical image processing and so on were handled by us.

5.       Digital Twin

The high-tech industry is fast increasing as science and technology advance, and many new-age technologies, such as Digital Twins (DT), continue to emerge. As a brand-new interactive technology, DT technology can effectively handle interactions between the actual and virtual worlds.

We are currently working on application of DT such as treatment of diseases health management, and sports planning.

6.       Edge AI

Edge AI is the deployment of AI applications in devices throughout the physical world. Edge AI can be used in the following use cases:

  • Powering smart hospitals
  • Autonomous Vehicles (AV)
  • Industrial Internet of Things (IIoT) and
  • Drones

We are currently working on incorporating Edge AI in AV.

7.       Edge Computing

Edge computing is a new, distributed computing architecture which brings data storage and computation close to the data source. This saves bandwidth and improves response time. Applications of edge computing we have already handled are security monitoring, predictive maintenance and so on.

8.       Generative AI

AI and machine learning techniques are used in generative AI to enable machines to generate artificial but new content. Few examples are cybersecurity, healthcare, image translation, editing photographs, translating images and so on. We are working on using Generative AI in banking system.

9.       Hyperscale

Hyperscale is all about achieving massive scale in computing—typically for big data or cloud computing. Hyperscale infrastructure is designed for horizontal scalability and leads to high levels of performance, throughput, and redundancy to enable fault tolerance and high availability. Some of the applications are hyperscale with 5G, management in datacenter.

10.   Synthetic Data

Synthetic data is information that’s artificially manufactured rather than generated by real-world events. Common use cases for synthetic data include self-driving vehicles, security, robotics, fraud protection, and healthcare.

11.   Robotics

Robotics is an interdisciplinary branch of computer science and engineering. Robotics involves design, construction, operation, and use of robots. The goal of robotics is to design machines that can help and assist humans. Applications are motion control of robots based on deep learning, robotic manipulation control etc.,

12. Decision Intelligence

Decision Intelligence (DI) is the commercial application of AI to the decision-making process of every area in a business. It is outcome focused and must deliver on commercial objectives. Some of the applications are risk identification, decision making and so on.