AI that delivers
measurable ROI

Data Platform & Engineering

Modern data stacks built for scale. Data lakes, lakehouses, and real-time pipelines — on Databricks, Snowflake, BigQuery, or AWS Redshift.

• ELT/ETL pipeline design & implementation
• Data quality & observability (Great Expectations, dbt)
• Real-time streaming (Apache Kafka, Flink)
• Data governance & cataloguing

Generative AI & LLM Integration

Enterprise GenAI that actually works — RAG architectures, fine-tuned models, and AI agents built on your private data, not hallucinations.

• RAG (Retrieval-Augmented Generation) systems
• Private LLM deployment (on-prem / VPC)
• AI agent & workflow automation
• Prompt engineering & evaluation pipelines

MLOps & Model Deployment

ML models in production, not in Jupyter notebooks. CI/CD for ML, model versioning, drift detection, and A/B testing frameworks.

• MLflow, Kubeflow, SageMaker Pipelines
• Feature stores & experiment tracking
• Model monitoring & drift alerts
• GPU-optimised inference infrastructure

Business Intelligence & Analytics

Self-serve analytics that business teams actually use. Power BI, Looker, and Tableau implementations with semantic layer architecture.

AI Readiness Assessment

A 2-week sprint to assess your data maturity, identify the 3 highest-ROI AI use cases, and produce an implementation roadmap.

Data Strategy & Governance

Data mesh architecture, DPDP Act 2023 compliance, master data management, and enterprise data contracts — built for Indian regulatory context.

Fraud detection, credit risk models, KYC automation, regulatory reporting

Clinical NLP, ABDM integration, patient readmission prediction, claims processing

Predictive maintenance, quality control vision AI, supply chain forecasting

Demand forecasting, personalisation engines, dynamic pricing, returns prediction