Quantum-Aided Drug Design Platform

A new engine for breakthrough drug discovery

Our Quantum-Aided Drug Design (QuADD) platform accelerates the identification and optimization of drug candidates.

It is the underlying technology platform used by computational teams at PolarisQB and partner organizations to tackle complex drug targets faster and more effectively.

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Unimaginable power is now a working reality

Through our partnership with quantum computing pioneer D-Wave, we harness quantum annealing technology specifically designed to solve large-scale, complex optimization problems far more quickly than traditional computers.

This commercially available technology provides an order of magnitude increase in speed, reducing the time it takes to identify optimal molecules for drug development from months to mere days.

The largest available chemical space, at your fingertips

Our platform can access a 1030 chemical space, providing the ability to explore both de novo combinatorial spaces and tailored on-demand chemical libraries.

This unprecedented range opens up the possibility to discover optimized molecules for even the most challenging protein targets.

Optimize all your objectives in minutes, not weeks or months

The QuADD platform enables rapid optimization of molecular structures, objectives, and constraints.

Generate a library of high-quality candidates optimized for drug-likeness, synthetic accessibility, BBB permeability, and other user-defined properties — all in less than an hour.

Data-driven collaboration and insight

Our platform supports transparency and collaboration, giving your team real-time visibility into the drug discovery process.

With detailed insights at your fingertips, every decision is informed by data, ensuring the best possible outcomes for your project.

Customer Testimonial

“The ability to explore a chemical space of 10³⁰ with PolarisQB’s quantum computing technology led to rapid identification of viable drug candidates, significantly accelerating our research timeline.”
Pek Lum, Ph.D., CEO, Auransa
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Can quantum computing help you find your next star molecule?