• Your sales figures are lower than your expectations and repeat sales are not up to the mark. You cannot figure out why. You need to find out root causes and remedial measures
  • You are doing very well but want to know whether there are any clouds in the horizon. Will your products remain relevant in the days to come?
  • Your employee turnover concerns you. You need to find out innovative remedial measures without major impact on cost to company.
  • Product performance is an area where you could do better. You need to relate it to shop floor data to improve processes.

If you go through the many use cases you would have encountered when you entered our site, chances are you will be able to relate to one or more of them. Our experts have both business understanding and a strong technical background. Share your concerns and let us help you identify the solutions you need


The problem statement is ready and now you want solutions built for you. We have expertise in multiple AI techniques one or many of which may be required in your case

Natural Language Processing: You have a lot of data in textual form. The texts contain qualitative information and opinions, as well as numerical data and tables. The relevant data has to be extracted and put in a structured database.

Data Mining: We use tools and our own code to extract patterns and knowledge from masses of data which were previously unknown but are key to understanding symptoms and / or threats.

Computational Statistics: We have expertise in multiple computation intensive statistical tools and we can use them as required:

  • Markov chain
  • Monte Carlo methods
  • Local regression
  • Kernel density estimation
  • Artificial neural networks
  • Generalized additive models

Machine Learning: We use multiple machine learning techniques to analyze and understand data. We build rules and models from a subsection of the data (training data) and check its predictions on the entire data, learning from variations to improve models and then make predictions for the future. Techniques can be classified in three types:

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning

Deep Learning: We use deep learning techniques for Image processing and speech recognition simulating the function of the brain. We thereby recognize images and understand oral communication which has multiple uses in science and commerce.

AI for Robotics: Artificial intelligence and robotics combine to automate tasks in many areas. AI introduces flexibility and learning capabilities in rigid robotic solutions.

Chatbots: We build chatbots which use machine learning and NLP to simulate human like conversational experience.