Our Portfolio of Machine Learning and AI Services

Choose the right service to prioritize solutions to address your business challenge

Data Science solutions

Our Data Science SMEs typically have expertise in areas such as data engineering, data analytics, machine learning, artificial intelligence, and cloud computing. They work with clients to understand their business needs and objectives, and then design and implement custom solutions to meet those needs

The services offered by us includes:

Problem Definition to align on key business metrics
Data collection to identify relevant data sources
Data Analysis and Exploration(EDA) to understand patterns, trends and relationships
Model development to build, train and tune ML Model
Model Deployment to integrate with target system
Model Monitoring and Maintenance to ensure effective performance and proactive retraining in case of model drift

MLOps

Our MLOps services are designed to help organizations streamline and optimize their machine learning lifecycle, which can lead to improved model accuracy, faster time-to-market, and increased ROI. By leveraging industry best practices, proven methodologies, and cutting-edge technologies, our services can help organizations achieve their machine learning goals and drive business value through data-driven insights.

Our services can include a range of activities, such as:

Model development and creating model development pipelines
Data management to create and manage upstream data pipelines
Model deployment to production environment
Model monitoring to monitor model drift and concept drift
Model Governance to keep models secure, compliant and responsible
Process Automation of Machine learning development

Robotics Process Automation (RPA)

Robotic Process Automation (RPA) is a technology that allows organizations to automate repetitive and routine tasks using software robots. We provide consulting and implementation services to help organizations design, implement, and optimize their RPA systems.

Our services include:

Process assessment and identification
RPA implementation and development
RPA testing and validation
RPA training and support
RPA optimization and maintenance

Machine Learning Platform Modernization

Machine learning platform modernization is the process of updating and upgrading an existing machine learning platform to take advantage of the latest technologies, features, and best practices. This can include upgrading hardware and software, implementing new machine learning algorithms, optimizing performance, and improving the overall user experience.

Our services in machine learning platform modernization include:

Platform assessment to understand existing ML platform and proceses
Technology selection to select appropriate tools to modernize the platform
Platform design and development to meet business requirements
Testing and validation to ensure that it meets the desired performance and reliability standards
Deployment and rollout that includes developing playbooks, user training and enablement