Data platforms & analytics
Data lakes, warehouses, data integration, BI and foundation for AI/RAG.
We design and implement data platforms and analytics solutions that unify information sources into a coherent environment for business and real-time operational decisions.
Scope includes: • data lake, data warehouse and enterprise data platform architectures, • integration of business, operational and external data sources, • large-scale data processing and analytics, • analytical and predictive layers (BI, AI/ML) in an enterprise model, • vector architectures and semantic processing for RAG and knowledge search, • auditability, data quality and GDPR-aligned access control.
Every solution is aligned with system architecture and organisational processes — a foundation for AI, reporting and automation.
Who it is for
Organisations with scattered data sources needing a single source of truth for reporting, BI and future AI/RAG.
Why work with us
AI-ready foundation
Data quality, lineage and GDPR-aligned access before models.
Scalable architecture
Lake/warehouse/platform sized to volume and budget.
Faster decisions
Dashboards and operational pipelines near real-time.
What you get
- Data architecture and layered model
- Ingestion and transformation pipelines (ETL/ELT)
- BI / semantic layer
- Vector store / RAG readiness (if in scope)
- Data quality and access policies
Engagement formats
Data platform MVP
First sources + dashboards in 8–12 weeks.
DWH modernisation
Migration from legacy to cloud or lakehouse.
Data + AI advisory
Strategy without full build.