Lumina
Lumina
A medically optimized AI orchestration platform delivering high-precision, context-aware insights
What is Lumina?
Lumina is Quantum Insights’ cutting-edge, multi-LLM orchestration platform built exclusively for healthcare. It intelligently combines the strengths of leading large language models—GPT, Claude, LLaMA, Gemini, DeepSeek, Grok, and Amazon Titan—to generate tailored, medically grounded responses for clinicians, researchers, grant reviewers, and IT specialists.
Key Features
- Parallel Processing & Output Synthesis: Multiple LLMs generate outputs simultaneously, combined by a synthesis engine using weighted ensembles that prioritize medical accuracy, logic, and ethics.
- Healthcare-Grade Validation: Outputs are cross-checked with trusted sources (PubMed, UpToDate, CDC), with confidence scores and human review ensuring precision and compliance.
How Lumina Adds Value
Clinically Precise
Delivers healthcare-grade, explainable insights using orchestrated LLMs to reduce diagnostic bias and support treatment and rare disease research.
Supercharged Productivity
Automates documentation, summarization, and bioinformatics, freeing experts for high-value care and discovery.
Adaptive Intelligence
Learns from behavioral feedback to adapt to healthcare nuances like rare diseases and regional policies.
Trusted Scalability
Scales seamlessly with dynamic LLMs, elastic compute, traceable outputs, and ethical compliance.
Potential Business Case
Enhancing Precision Oncology with Real-Time Biomarker Insights
Lumina advances precision oncology by integrating clinical trials, genomic records, and biomarker studies. GPT creates researcher-friendly summaries, while Grok extracts real-time biomarker data. Gemini analyzes imaging and text to link mutations with tumor progression. Claude ensures ethical patient data use, driving breakthroughs in personalized cancer care. This approach refines patient stratification, improving targeted therapy matches.
Have Any Questions?
We're happy to help with any questions or requests.