Accepting Clinical Pilots

The quantum detection and prediction agent for clinicians. Identify early-stage malignancies with the precision of hybrid AI. Qanary uses a patented agentic engine to find subtle signs of cancer that classical systems often miss.

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Live Scan

98%

Malignancy Risk
Today
Composite Score
8.4 %
Genomic Fusion Mapped
Local Anonymization Secured

Quantum Core

Resolving Data...

HIPAA & GDPR In-progress
3 Peer-Reviewed Papers
Patent-Pending Arch
9,600+ Clinical Entries

Flexible solutions for every clinical model. Equip your team with an autonomous diagnostic agent designed to detect malignancies and predict patient risk with quantum-powered precision.

Qanary Logo
Project preview
DD
Patient Details
NameFatima Al-Sayed
Age / Gender62 yrs / Female
MRNMRN-99281-FS
Risk Factors
Age ≥ 50 Family History
Risk Score8/10
High Risk
Diagnostic Report
High Urgency

Malignancy Detected

Precision
98.42%
Processing
1.24s

Findings: The AI analysis indicates a MALIGNANT finding.

  • Prediction: MALIGNANT
  • Probability: 98.42%

Recommendation: Urgent clinical evaluation and biopsy correlation with imaging modalities are recommended.

Original Scan 125%
Original MRI Scan
AI Heatmap 150%
AI Heatmap MRI Scan

Backed by peer-reviewed science. Built on rigorous quantum mechanics to eliminate diagnostic blind spots.

+8.0% Recall vs. SVM
FIG 01

Quantum-enhanced sensitivity.

Standard classical models often miss subtle, non-linear biological markers in high-dimensional imaging. Qanary bridges this gap, providing a proven 8% average improvement in sensitivity over state-of-the-art classical systems.

90.28%
Recall Accuracy
FIG 02

Eliminate blind spots.

In oncology, a false negative is the highest risk. Our peer-reviewed methodology utilizing variational quantum circuits is validated at 90.28% recall.

100%
FIG 03

Beyond buzzwords.

By optimizing quantum kernels like the Pauli FeatureMap, our architecture achieved 100% accuracy in targeted subsets.

FIG 04

Massive data maturity.

High precision requires robust evidence. Our agentic model has been stress-tested and validated against a pipeline of 9,672 clinical entries and over 6,500 unique patient identifiers, ensuring reliability across diverse clinical environments.

Explore clinical validation
Validation Pipeline Scale
9,672 Scans
Q1Q2Q3Q4Present

Built by serial entrepreneurs and PhD architects. With $500k raised from previous ventures, we bridge global industrial scale with quantum research to deliver a patented engine for high-precision cancer detection.

Pr. Moulay Youssef El Hafidi

Pr. Moulay Youssef El Hafidi

EX-P&G OPERATIONS HEAD
Abderrahmane El Fahli, PhD(c)

Abderrahmane El Fahli, PhD(c)

PHD IN PHYSICS (SPINTRONICS)
Achraf Toufah, PhD(c)

Achraf Toufah, PhD(c)

PHD IN PHYSICS & AI