About This Architecture

Catalyst AI's 13-layer data pipeline architecture orchestrates multi-source ingestion, intelligent processing, and unified serving across voice AI, visual recognition, financial data, and reputation management. Data flows from ingestion layers (VANGUARD voice capture, SPECTRA visual AI, PULSE communications, VAULT financials, ECHO reputation, TEMPO scheduling) through processing engines (CORTEX knowledge graphs, ORACLE predictions, FORGE automation, SHIELD security, BRIDGE integrations) into a medallion-pattern data lake (Bronze raw, Silver curated, Gold aggregated). This architecture demonstrates enterprise-grade data governance, real-time processing, and compliance automation (HIPAA, SOC2, PCI) essential for healthcare and professional services platforms. Fork this diagram on Diagrams.so to customize layer connections, add your own data sources, or export as .drawio for integration into technical documentation. The modular 13-layer design enables independent scaling of ingestion, processing, and serving tiers while maintaining data lineage and security posture across 300+ integrated applications.

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How do you design a scalable multi-layer data pipeline that ingests voice, visual, financial, and communication data while maintaining HIPAA and SOC2 compliance?

Catalyst AI's 13-layer architecture separates concerns into ingestion (VANGUARD, SPECTRA, PULSE, VAULT, ECHO, TEMPO), processing (CORTEX, ORACLE, FORGE, SHIELD, BRIDGE), and storage (Bronze/Silver/Gold medallion lake). This modular design enables independent scaling, real-time AI processing, and compliance automation across 300+ integrated applications while maintaining data lineage and security p