Multinational Healthcare · Healthcare
Enterprise Knowledge RAG
Unified decades of fractured clinical and operational data into a secure, private LLM search infrastructure, accelerating research and operational compliance.
Primary Impact
Zero-hallucination querying
Industry
Healthcare
Engagement
End-to-End Delivery
The Challenge
The Problem We Were Brought In To Solve
Clinical researchers were losing weeks to manual document review. We designed a private RAG architecture grounded on a proprietary knowledge graph, integrating 15 years of clinical notes, trial data, and regulatory filings.
Our Approach
How We Engineered the Solution
Our team conducted a rigorous discovery process to understand the client's existing data landscape, systems architecture, and team capabilities. We designed a bespoke solution architecture tailored to the client's constraints — balancing performance requirements against infrastructure cost, regulatory compliance, and maintainability. Every design decision was validated against the primary success metric before a single line of production code was written.
LLM
RAG
Healthcare
Knowledge Graph
The Outcome
Measurable Results Delivered
Primary Metric Achieved
Zero-hallucination querying
The solution was deployed to production within the agreed timeline, with full handover documentation, operational runbooks, and a 90-day monitoring period to ensure stability. The client's team was trained on the new platform and the system has continued to perform within SLA parameters since launch.
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