Cutting Edge
Artificial Intelligence (Generative Models)
We adapt LLM models for our clients for a variety of downstream tasks. These models have superior contextual awareness and generate superior responses to user input for different use cases such as personalised virtual assistants, document summarisation and other conversational AI interface.
We specialise in harnessing the power of NLP. We excel in extracting meaningful insights from diverse textual data, enabling clients to derive valuable information from different data streams.
Machine Learning (Predictive Models)
We have strong expertise in end-to-end MLOps lifecycle. From designing, developing, deployment, monitoring, and management of machine learning models in production environments.
Through ModelOps, we customise development & deployment of machine learning models, ensuring optimal performance and scalability in their operations.
Our capabilities in database design enable us to architect robust and scalable data structures tailored to optimize performance and facilitate efficient data management.
Our expertise in predictive modeling extends to various industries, offering insights into future trends and behaviors for enhanced decision-making.
Our expertise in live deployment, monitoring & automated retraining of ML models ensures real-time performance tracking and proactive management for continual optimization and reliability.
Econometrics (Explainable Models)
In-depth time series analysis allows us to forecast trends and patterns, offering valuable insights for strategic planning in different industries.
Engaging in impact analysis, our approach evaluates the consequences of various interventions and policies, offering insights into cause-and-effect relationships.
Utilizing causal models, we explore and quantify the causal relationships between variables, providing actionable insights for decision-makers.
Applying panel data analysis, we examine relationships and trends over time, providing a comprehensive understanding of dynamic processes in diverse contexts.
Analyzing market dynamics and financial viability to assess the potential success of a business venture or project.
Examining customer preferences, purchasing habits, and decision-making processes to inform marketing strategies and enhance customer experiences.
Gathering feedback from stakeholders, including customers, investors, and partners, to measure satisfaction levels and identify areas for improvement.
Assessing the level of employee satisfaction, motivation, and commitment within an organization to improve workplace culture and productivity.
Conducting in-depth discussions with selected participants to gather qualitative insights and feedback on products, services, or concepts.