A RAG development company that measures retrieval before it touches generation

1. Problem. A US hospital network had patient records, lab results and ICD mappings sitting in silos, none of it reachable at the point of care. Clinicians needed decision support without adding friction to already demanding workflows.

2. Solution. A HIPAA-compliant clinical platform on GCP Vertex AI using a hybrid Agentic RAG pipeline. Patient records, lab data and medical literature unified into one queryable layer. Role-based access across every clinical and admin role, a full audit trail on every response, and a zero-downtime SLA.

1. Problem. Critical institutional knowledge was scattered across hundreds of documents and disconnected systems. A single-vector-search setup had already failed. The organization needed multi-document, multi-hop reasoning that held up under real query volume.

2. Solution. Multi-agent reasoning with a Neo4j knowledge graph for complex cross-document queries. RAG Fusion lifted precision well above single-retrieval approaches. Role-based access with a complete audit trail across every department, handling 8,000 queries per day at launch.

1. Problem. A major European enterprise was managing GDPR, EU CSRD sustainability mandates and internal policy review across 8 countries at once. Each compliance cycle pulled in outside legal consultants and burned months of manual effort.

2. Solution. A platform that monitors regulatory feeds across every relevant framework, analyzes internal documents for compliance gaps in real time, raises risk flags with structured remediation steps, and produces board-ready reports in English, German and French on demand. An LLMOps governance layer keeps every decision auditable.