ML & AI Solutions

Data Analysis and Literature Study

• Our team of data scientists and analysts are proficient in analyzing large volumes of data and exploring the best approach to adopt for developing the required models.
• This often start with studying the literature available for the use case under consideration and firming up an approach in consultation with your team.

Data Preparation and Integration

• This step is crucial for building accurate and reliable predictive models.
• Our data engineers help build variable and derived variables required for building models.

Model Development and Evaluation

• We bring year of expertise in building predictive analytics and employ a wide range of techniques, such as regression analysis, decision trees, neural networks, and ensemble methods, to develop models that accurately predict future outcomes.
• We use Python/ SAS/ Azure ML to build the models.

Deployment and Monitoring

• This is an important step which ensures that insights are actually used for efficient decision-making.
• We assist businesses in deploying predictive models into their operational systems, ensuring seamless integration and real-time application.
• We also provide monitoring and maintenance services to continuously assess model performance and make necessary updates as new data becomes available.

Designing and Implementing Chatbot Solutions

• Enhance customer interactions and support.

Natural Language Understanding (NLU)

• Enable chatbots to comprehend and respond to user queries effectively.

Dialog Management

• Create conversational and engaging experiences for users.

Integration with Backend Systems

• Provide personalized recommendations, process transactions, and retrieve information.