Analytics

AI and machine learning are taking industries by storm, arming them with advanced predictive and state-of-the-art decision-making capabilities. Machine learning SDKs, frameworks, tools, and APIs are available today that make it easier to adopt these next-gen technologies. Yet a yawning gap in skill sets is frustrating the process for many, leading to wastage of resources. Our machine learning expertise and experience fill that shortage, accelerating the business value of investments in innovative technologies.

Deep Learning

Recognition of speech, sounds, and images comes naturally to the human brain. Machines can replicate the neural system of the brain with the aid of massive computational power and advanced algorithms. Multi-layered artificial neural networks can learn patterns from millions of images and sound samples they are trained on. Deep learning enables machines to understand spoken words in real time, recognize and describe images, play games, and even diagnose diseases. In some tasks, they even outperform humans. We work on deep learning frameworks to build business applications that can supplement human faculties.

Natural Language Processing (NLP)

Think intelligent chatbots that can reply to customer queries with precision; text analytics applications that can identify customer sentiments from thousands of emails, social media conversations, and surveys. The capability of machines to understand human language is so advanced today that it is possible to create a wide range of applications with text and voice processing capabilities. With our strong machine learning skills plus expertise in classification algorithms, entity extraction, sentiment analysis, topic modeling as well as Python and Java, we bring to life self-learning NLP applications focused on improving process efficiency, product experience, and customer engagement.