Service
Big Data & AI / ML
We build data platforms, predictive models, and intelligent systems for precise decisions.
What we deliver
- Operational data model
Schemas, definitions, and a shared catalog.
- Production-grade pipelines
Orchestrated ETLs with monitoring and tests.
- Models and dashboards
Models ready for use and key visualizations.
Service overview
We unify data, models, and visualization to enable real-time decisions and high-impact use cases.
Delivery approach
- Audit of sources, data quality, and governance.
- Design of lakehouse architecture and pipelines.
- Business modeling and KPI definition.
- ML experimentation with evaluation and MLOps.
- Adoption with dashboards and team training.
Outcomes
- Unified visibility and reduced reporting time.
- Models that improve conversion, risk, or demand.
- Measurable, trusted data quality.
- Scalable use cases with controlled costs.
Typical stack
- BigQuery, Snowflake, or Databricks.
- Airflow, dbt, and Kafka.
- Python, Spark, and SQL.
- MLflow, Vertex AI, or SageMaker.
- Looker, Power BI, or Tableau.