GraphRAG for HealthTech: Building More Reliable AI Systems
AI is moving fast in healthcare — but building reliable AI systems takes more than connecting an LLM to a product.
In HealthTech, accuracy, traceability, latency, and contextual understanding matter. A good AI demo can be impressive, but production-ready systems need to retrieve the right context, reason across connected medical knowledge, and generate answers teams can actually trust.
In this technical session, our speakers will walk through how GraphRAG can help HealthTech teams build more reliable AI systems — especially when basic LLM calls or traditional RAG are not enough.
The session will be led by Mathias Claassen, Staff ML Engineer at Xmartlabs, and Gabriel Lema, Senior Machine Learning Engineer at Xmartlabs. Together, they bring hands-on experience building applied AI systems that go beyond the model itself, including context management, observability, evaluation, and feedback loops.
We’ll explore:
Why LLM-only solutions can fall short in HealthTech
The difference between traditional RAG and GraphRAG
How knowledge graphs can support more connected reasoning
HealthTech use cases where GraphRAG can add value
Architecture considerations for building reliable AI systems
Trade-offs around precision, latency, evaluation, and scalability
This session is designed for CTOs, technical founders, AI/product leads, and engineering managers building or evaluating AI-powered products in healthcare.
You’ll leave with a practical understanding of when GraphRAG can be useful, when it may be overkill, and what technical decisions matter when moving from an AI demo to a more reliable production-ready system.
After the webinar, we’ll open an optional small-group office hours space with the speakers for attendees who want to go deeper into specific use cases, technical challenges, or architecture decisions. If you’re interested in joining, you’ll be able to share your question or topic when registering so we can better shape the discussion.
About Xmartlabs
Xmartlabs is an Uruguay-based software development studio offering nearshore development support, fractional CTO services, and embedded engineering teams. We help clinics, digital health, and medtech companies build and launch AI-native, thoughtfully designed products.