Data & AI — a scalable foundation for analytics, automation and AI
Turn fragmented enterprise data into a scalable foundation for analytics, automation and AI. We design and build modern data platforms — and the pipelines, models and governance that make them dependable.
Capabilities
What we deliver
Data platforms & engineering
- Enterprise data platforms
- Data engineering & ELT/ETL
- Pipelines, streaming & CDC
- Data modeling & integration
- Lakehouse architecture
Modern data stack
- Snowflake
- dbt transformation
- AWS data services
- APIs & data products
- Analytics foundations
AI-ready & trusted
- AI-ready data architecture
- GenAI / LLM integration
- RAG & data-access patterns
- Data quality & observability
- Governance-oriented design
Approach
From estate to platform
We modernize deliberately — validating on real data before broad rollout, so downstream consumers are never left guessing.
Representative engagements
Where this applies
Representative engagement patterns — illustrative of the problems this practice is built to solve.
Modernize a legacy ETL estate into Snowflake and dbt without disrupting downstream consumers.
Stand up a lakehouse or warehouse modernization with clear data models and ownership.
Introduce CDC / event-driven integration across fragmented enterprise systems.
Build an enterprise analytics foundation with data quality and observability.
Design an AI-ready data platform as the foundation for GenAI and automation.
Integrate enterprise data into governed, reusable data products and APIs.
Ready to make your data an asset, not an obstacle?
Start with a Data Platform or AI & Data Readiness Assessment and get a concrete architecture and roadmap.