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Technology

Quantum Structural Intelligence

A first-principles computation layer for the era of AI drug discovery.

01Why physics

Where AI stops, physics begins.

AI has solved

  • Protein folding prediction
  • Molecular generation
  • Virtual screening

Quantum resolves

  • Energy landscapes
  • Protein dynamics
  • Transition states
  • Binding free energy
  • Rare conformations

02Core technology

Quantum Sampling Framework

  1. 01

    Quantum-enhanced sampling

    Directly explores local protein energy landscapes and conformational pools, approaching true physical states at higher resolution.

  2. 02

    Fragment-based scalability

    Decomposes proteins into fragments so quantum computation can tackle real protein systems, not toy models.

  3. 03

    A first-principles layer

    Built as infrastructure for conformational transitions, disordered-protein ensembles, binding free energy, and many-body interactions.

03Platform roadmap

From structure to dynamics.

  1. 1

    Structure Reconstruction

    High-accuracy reconstruction of protein fragments and binding sites.

  2. 2

    Binding Free Energy

    Physically grounded ranking of how molecules bind their targets.

  3. 3

    Protein Dynamics

    Mapping conformational ensembles, rare states, and transition pathways.

04Applications

New physics for new medicines.

New molecules

  • Molecular glues
  • Covalent allosteric small molecules
  • RNA-targeting small molecules
  • Dynamic and disordered protein targets

New delivery tools

  • AAV capsids
  • Lentiviral vectors
  • Programmable lipid nanoparticles

Across the pipeline

Specificity
Structure-level on- and off-target risk assessment
Safety
In-silico ADMET analysis to reduce reliance on animal studies
Precision
Multi-omic patient stratification to surface clinical opportunity and risk

05Who we work with

Built for the drug discovery ecosystem.

  • Biotech & Pharma

    Research partnerships, R&D services, co-development, and licensing.

  • CROs

    Complementing screening and toxicology workflows with quantum-grade structural insight.

  • Diagnostics

    Extending quantum and multimodal AI to early detection and precision medicine.

06Why now

  1. 2021

    AlphaFold2 brings protein structure into the AI era

  2. 2024

    Protein language models; AI for Science goes mainstream

  3. 2025

    Utility-scale quantum computers validated

  4. 2026

    Quantum structural intelligence enters commercial application

  5. 2030

    Fault-tolerant quantum computing