Turn fragmented data into decisions—and AI into measurable ROI.
Data engineering and ELT/ETL pipelines.
BI and analytics (dashboards, self-service).
MLOps (training, serving, monitoring).
GenAI apps (RAG, copilots, content automation).
NLP/CV use cases tailored to your domain.
Databricks/Spark, Airflow, dbt, MLflow, TensorFlow/PyTorch, vector databases, LangChain/LlamaIndex. Governance, lineage, and quality checks included.
Data discovery workshop
AI/MLOps MVP (6–8 weeks)
Managed analytics service
PII protection, role-based access, model monitoring and bias checks, cost and performance controls.