Secure, Scalable
Solutions.

Data Modernization

We developed a high-throughput multi-cloud data backbone to standardize the ingestion of national-scale health information. The platform consolidates diverse datasets, including HL7 and laboratory messages, into a centralized multi-cloud data lake, enabling real-time analytics and rapid response across the national landscape.

Regulatory Intelligence

We engineered a Zero-Trust AI platform on Azure that enables users to interact with large enterprise datasets using natural query language. This architecture leverages Databricks Unity Catalog for centralized governance and a Medallion data structure to ensure AI responses are strictly grounded in authoritative regulatory sources.

Built on Azure Container Apps and optimized RAG pipelines, the system provides high-fidelity analysis while maintaining strict security boundaries, allowing compliance teams to navigate complex institutional data with unprecedented speed.

Enterprise Infrastructure

We architected and managed the enterprise cloud operations supporting over 160 independent project teams across AWS, Azure, and Google Cloud. Our work centered on orchestrating a secure foundation by managing the complete account lifecycle, from automated provisioning of lab and production environments to centralized enterprise security.

By implementing a unified network perimeter, including centralized firewalls, routing, and subnets, we established strict security boundaries that allow development teams to build resources rapidly without managing low-level network complexity. Furthermore, we implemented comprehensive FinOps workbooks for cost-optimization and deployed custom Lambda-based monitoring to ensure service reliability and operational excellence at scale.