QuADD (Quantum-Aided Drug Design) Platform
Quantum computing platform for drug discovery exploring 10^30 chemical space in hours
Company profile
Company profile
Polaris Quantum Biotech (PolarisQB) is a computational drug discovery company that leverages quantum computing technology to accelerate the identification of novel drug candidates. The company's proprietary Quantum-Aided Drug Design (QuADD) platform uses quantum annealing and quantum-inspired algorithms to solve ultra-large scale optimization problems in molecular design that are too complex for traditional computers. PolarisQB's approach enables exploration of chemical spaces exceeding 10^30 molecules—more than 20 orders of magnitude larger than conventional screening methods—in just hours rather than weeks or months. The platform performs multi-objective optimization at unprecedented scale and speed, applicable to any protein target without requiring training data. PolarisQB serves pharmaceutical companies, biotech firms, agricultural companies, and contract research organizations (CROs), offering solutions ranging from rapid lead generation to collaborative joint development programs. The company has demonstrated significant advantages over traditional computer-aided drug design (CADD), delivering stronger binding candidates with greater diversity and more drug-like properties in dramatically shorter timeframes. Based in Durham, North Carolina, PolarisQB partners with organizations across drug discovery, longevity research, and women's health to accelerate the path from target identification to viable drug candidates.
Company description Polaris Quantum Biotech official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
No clinical focus areas are currently listed.
Cloud Saas · Hybrid deployment with recorded integration context.
Company milestones
Selected as 2026 winner of Cleveland Clinic Quantum Innovation Catalyzer Program (April 2026); Announced exclusive representation agreement with PTG for Greater China and Southeast Asia (June 2026); Demonstrated advances in drug safety prediction with quantum-inspired AI (April 2026); Free trials of QuADD platform now available
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Quantum computing platform for drug discovery exploring 10^30 chemical space in hours
Joint development of best-fit molecules for new protein targets
Delivers 1-5k top-quality lead-like molecules for target protein binding pockets
20-200 optimized molecules for your target protein, ready in 90 days
03 · Research intelligence
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Research
Journal of chemical theory and computation · Sep 12, 2023
Efficient Computation of the Electrostatic Component of Solvation Free Energy via a Two-Point Padé Approximation.Journal of chemical theory and computation · Aug 8, 2023
Deriving Immune-Modulating Peptides from Viral Serine Protease Inhibitors (Serpins).Methods in molecular biology (Clifton, N.J.) · Jan 1, 2021
Clinical validation
No linked records are currently available.
Regulatory
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04 · Company-reported outcomes
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Time to identify drug candidates compared to traditional CADD
20+ orders of magnitude larger than traditional screening (10^10)
Compared to traditional CADD methods
More diverse molecular candidates than traditional methods
Improved drug-likeness compared to traditional CADD
Discovery of novel molecules for Optimizing the Aging and Longevity Molecular Process
Explored previously undefined chemical space and discovered novel molecules much faster than expected
Rapid identification of viable drug candidates for hard to tackle or neglected diseases affecting women's health
Significantly accelerated research timeline towards quality solutions
Matching full diversity of newly identified disease targets with rapid small molecule drug discovery
Partnership represents ultimate collaboration between biology and technology for logical and rapid drug finding
Comparative analysis of quantum-aided drug design versus traditional computer-aided drug design
2 days vs 2 months timeline, stronger binding, greater diversity, more drug-like molecules
05 · Leadership
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06 · Company updates
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No Company updates are currently listed.
07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
Companies using AI, machine learning, or computational biology to discover new drug candidates, identify drug targets, predict drug efficacy, or accelerate pharmaceutical development. Includes both small molecule and biologics development, precision oncology drug discovery, and AI-driven target identification and molecule design.
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