Modern Data Operating System
Prepare your company for AI: structure your datastack to unlock your data's full potential
Medallion Pipeline
We build your modern data stack.
Bronze (Raw)
Raw ingestion with full historical preservation. Total traceability without alteration.
Silver (Clean)
Cleaned, deduplicated, and structured data. Application of business rules.
Gold (Aggregated)
Dimensional models ready for consumption. Pre-calculated KPIs for minimal latency.
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Use Cases for Mid-Cap Companies
Implement automated monitoring systems that detect inconsistencies and errors across critical business data.
Enhance internal datasets with external market intelligence and industry benchmarks.
Connect CRM, ERP, and financial systems into a centralized data warehouse or data lake.
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.
Is Your Data Stack AI-Ready?
Make sure your data foundation is ready for AI with our Data Stack Audit.
Insights

Which KPIs Should SaaS Businesses Monitor in 2026?
"Growth at all costs" is over. Stratos' framework prioritizes efficiency via NRR, CAC Payback, and LTV:CAC to drive sustainable SaaS profitability.
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The Great Deflation: Why Building Tech Will Only Get Cheaper
Low-cost coders and AI tools give the easiest route to build tech-enabled companies. What this means for competitive moats and valuations.
Which KPIs Should SaaS Businesses Monitor in 2026?
"Growth at all costs" is over. Stratos' framework prioritizes efficiency via NRR, CAC Payback, and LTV:CAC to drive sustainable SaaS profitability.
Intelligence Layer
Decision-making powered by real-time monitoring and reporting.