The wrong data architecture costs Saudi enterprises years of technical debt and millions in rework. Crux designs your data lakehouse architecture right the first time — built to serve AI, analytics and operations simultaneously, PDPL compliant from layer one.
Design scalable cloud-native data lakes using Delta Lake or Apache Iceberg — with data tiering, lifecycle management and PDPL classification at the storage layer.
Combine lake flexibility with warehouse performance — enabling AI training on raw data alongside governed analytics serving. The modern standard for Saudi enterprise data platforms.
Design high-performance analytical warehouses on Snowflake, Databricks or Azure Synapse — with dimensional modeling, SCD patterns and BI-optimized query layers.
Design governance layers that enforce Saudi PDPL — data classification schemas, PII detection rules, masking policies, consent tracking and right-to-erasure automation.
Architect federated data ownership models — enabling Saudi enterprise business units to own their data domains while maintaining central governance and AI data access.
Design feature stores that make machine learning features reusable across AI models — reducing feature engineering redundancy and accelerating Saudi ML team productivity by 60%+.
We had three separate data systems that couldn't talk to each other. Crux designed a unified lakehouse architecture in 6 weeks. Our AI teams now have one source of truth — and our PDPL audit passed first time.
PDPL embedded. AI-ready. Saudi cloud deployable. Crux designs data platform architecture that serves your business for the next 10 years.