M Makzu Labs Consult

Services · Generative AI

LLM & Generative AI Services

Natural language systems engineered for clinical and MedTech settings—grounded retrieval, constrained prompts, and human-in-the-loop validation so outputs stay auditable.

Regulated NLP foundations

Embedding pipelines, chunking strategies, and prompt templates aligned to HIPAA-aware deployment patterns—pairing local or VPC-hosted models with citation-backed answers for SOPs, IFUs, and clinical literature.

Use case: Automated Test Case & Validation Generation

RAG over user guides and requirement specs with self-correcting LLM loops—typically automating roughly 70% of test case authoring while flagging edge cases for human review and traceability to source documents.

Use case: Clinical Knowledge Graph & Literature Synthesis

Autonomous research agents that traverse publications, trials metadata, and internal R&D notes—building structured knowledge graphs and executive summaries for deep clinical R&D programs.

Use case: Multimodal AI Chatbots

Mixed-reality interfaces wired to real-time natural language query pipelines—voice and text over 3D context (models, overlays, live feeds) for training, field support, and OR-adjacent assistance.

Read: Zero-hallucination RAG → · 12 architecture blueprints →

Diagnostic System

What is your current AI bottleneck?

Step 1 — Select the constraint blocking your OR or R&D pipeline.