Bronze (Raw)
Raw ingestion with full historical preservation. Total traceability without alteration.
JSONParquetBlob Storage
Prepare your company for AI: structure your datastack to unlock your data's full potential
"The right data stack isn't just infrastructure—it's the bedrock of AI success. Without clean, accessible, well-governed data, even the most sophisticated AI models will fail to deliver value."
Soufiane Taabani Data Architect at StratosWe build your modern data stack
Raw ingestion with full historical preservation. Total traceability without alteration.
Cleaned, deduplicated, and structured data. Application of business rules.
Dimensional models ready for consumption. Pre-calculated KPIs for minimal latency.
Scalable data foundations designed for growth and AI readiness.
Implement automated monitoring systems that detect inconsistencies and errors across critical business data.
Connect CRM, ERP, and financial systems into a centralized data warehouse or data lake.
Enhance internal datasets with external market intelligence and industry benchmarks.
Build foundational data infrastructure that supports ML initiatives: clean training datasets and feature stores.
Create a centralized system for managing critical master data entities across multiple systems.
Deploy streaming infrastructure to capture and process events in real-time from IoT and applications.
Make sure your data foundation is ready for AI with our Data Stack Audit.
Assess My StackDecision-making powered by real-time monitoring and reporting.
Holistic vision and financial health.
Operational alerting and anomaly detection.
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January 24, 2026
How the Modern Data Stack Powers AI at ScaleModern data stack evolves from analytics to AI backbone. Cloud warehouses, streaming data, and lakehouse architectures enable real-time ML at scale, addressing training-serving skew and governance for production AI systems.
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January 24, 2026
Agentic AI: A Use Case Guide for Mid-Sized CompaniesAgentic AI lets mid-sized companies automate complete workflows autonomously—from customer service to supply chain. Unlike basic AI, agents plan, decide, and act independently. Start with high-ROI pilots, ensure data quality, and scale progressively for 30-70% efficiency gains.
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January 24, 2026
Navigating Data Sovereignty While Working with US Cloud ProvidersMid-cap companies face a sovereignty squeeze: too large to ignore GDPR risks and audit exposure, but too small for dedicated multi-cloud teams. They lack enterprise budgets for hybrid infrastructure yet can't accept startup-level risk. Sovereignty adds 30-40% costs without revenue benefits.