Qanary empowers medical teams and researchers with intelligent agents that support early cancer detection and accelerate clinical insights through superior diagnostic precision.
Qanary integrates seamlessly with hospital infrastructure to transform raw medical data into actionable clinical insights using a world-first hybrid approach.
Direct connection to HIS and PACS systems to retrieve patient scans, genomic data, and clinical records.
Personally Identifiable Information (PII) is stripped locally within the hospital firewall to ensure 100% privacy compliance.
Parallel processing where Classical AI identifies spatial features while Quantum circuits resolve complex non-linear correlations.
Tasks are dynamically routed to Quantum Simulators or Physical QPUs based on real-time computational depth requirements.
Synthesizes visual features from scans with high-dimensional genomic data for a unified malignancy risk score.
Local "Brain Updates" allow our models to improve while clinical data stays secure on-site.
PHASE: R&D
Qanary is powered by a multi-disciplinary team specializing in ICT for medical diagnosis, Machine Learning, and Quantum Computing. Together, we address the critical gaps in state-of-the-art diagnostics through rigorous scientific exploration.
Peer-Reviewed Papers
Published research focusing on oncology, medical imaging, and hybrid quantum-classical frameworks.
Our founding team bridges the gap between industrial excellence, quantum physics research, and AI systems architecture.
Ex-P&G Operations Head with 20+ years of global experience in driving operational excellence and strategic growth.
PhD in Physics (Spintronics). Bridges deep scientific research with immersive hardware and technology integration.
PhD in Physics. Specialist in the development of advanced algorithms and computational models designed to enhance diagnostic precision in medical imaging.