Artificial Intelligence and Machine Learning Solutions

We provide artificial intelligence solutions to help organization automate processes and leverage from machine learning tools.

We use Artificial Intelligence algorithms to help machines learn themselves from the data they are exposed to and arrive at conclusions, simulating human intelligence. Our data scientist have profound knowledge and experience in designing, implementing and integrating artificial intelligence applications specific to customers business.

Some of the expertise that we have include:

  • Chat Bots
  • Machine learning solutions
  • Deep learning & neural networks
  • Natural language processing
  • Predictive modeling
  • Reinforcement learning
  • Anomaly detection

Most of the organizations don’t have their data science team, which is true for not just startups but also for large organizations. Our motive is to fill this gap by providing technical expertise and know-how to your project from the day one. We provide a team of best data scientist who would help you overcome challenges faced by you in data planning.

The lifecycle of a data science project is different from software development project. Unlike a software development project, there is no single universal workflow process for all data science projects. The data scientists working on Artificial Intelligence software have to determine which workflow best fits the business requirements. The lifecycle of a data science project at Prolitus involves jumping back and forth among various interdependent data science tasks and steps using a variety of data science programming tools. Prolitus data science process begins with asking business questions that guide the overall workflow of the data science project.

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Data Acquisition

In the first stage, we identify the person who knows what data to acquire and at what time,


Data Preparations

Prolitus data scientists understand the importance of data preparation process


Hypothesis & Modelling

To identify which machine learning model fit the best with the business needs


Evaluation & Interpretation

In this stage, we measure machine learning model performances, compare using



Machine learning models might need to be re-coded before deployment if the programming



In the final phase, we retrain the machine learning model in production, whenever there are new data

Prolitus has always been at the forefront of investing in latest technologies, and Artificial Intelligence is no exception. We have a pool of in-house coders and data scientists who are committed to developing Artificial Intelligence tools such as Chat-Bots. We are developing a solution for Healthcare Industry, that would give suggestions about possible diseases, diagnosis, and which specialist to consult, based on the symptoms of the patients.

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