Hermite®

Integrated platform of ready-to-use tools for hit discovery and lead optimization — powered by AI, physics and high-performance computing

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Fast & Accurate
Maximize both speed and precision

Get results 10–100× faster than traditional tools by leveraging GPU acceleration, proprietary ML models, and parallel computing.

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Accessible & Intuitive
Launch anywhere in seconds

Run simulations instantly via any browser — no installation or coding required. Streamlined, intuitive 3D visualization and drag-and-drop workflows.

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Flexible & Scalable
Tailored resources for diverse needs

Scale from single-node experiments to enterprise-level workloads with AWS-based infrastructure and dynamically optimized compute costs.

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Secure by Design
Trusted by enterprise and academia

Enterprise-grade security with end-to-end encryption, role-based access controls, and compliance-ready environments.

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Lead Optimization

Uni-FEP: Accurate, Robust and Accessible Free Energy Perturbation Calculation

Free energy perturbation (FEP) predicts drug-target binding affinities at ±1 kcal/mol – a gold standard for lead optimization. While traditional FEP tools are often costly, complex, and inaccessible to non-experts, Hermite® Uni-FEP delivers industry-leading performance in an easy-to-use solution for beginners and experts alike.

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    High-Performance
    • Accurately predict binding affinity in as little as 4 hours.

    • Evaluate up to 1,000 compounds daily via parallel cloud computing.

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    Robust
    • Validated across 100+ systems and 100,000+ perturbation pairs*.

    • 99%+ success rate for common use cases.

    • 50% less manual intervention for complex systems.

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    User-Friendly
    • End-to-end workflow with graphical interfaces tailor-made for FEP calculations.

    • Set up and run first task in 10 min for beginners; customizable for experts.

Intuitive and Integrated Workflow

System Preparation
  • Import  from local files or built-in libraries

  • Automated protein & ligand preparation

  • Interactive 3D visualization & editing

Calculation Configuration
  • Auto-generated perturbation graphs

  • Manual graph & atom-mapping adjustment

  • One-click submission with advanced parameters

Result Analysis & Report
  • Real-time progress tracking

  • Comprehensive analysis & error profiling

  • Exportable reports in multiple formats

Engineered for Precision & Scale

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Customized Ligand Force Field

Customized GAFF2, supplemented by proprietary ML potential for an on-the-fly dihedral angle scanning and force field optimization workflow to tackle novel chemical structures. See our publications for details

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Enhanced Sampling Suite

REST2,Water Swap MC (buried water), Terminal Flip MC (multi-conformational ends), Conformation Exchange MC (macrocyclic)

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Retrospective validation: 74% prediction within ±1 kcal/mol
compared with experiment.

View benchmark across 100+ systems
Type of Tasks Supported
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Standard Protein Targets
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Membrane Protein Targets
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Relative & Absolute Binding FE
Use Cases
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R-Group Transformation
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Scaffold Hopping
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Charge Transformation
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Macrocyclization

Flexible Pricing for Every Team

We're committed to collaborating on a plan that best suits your team’s need and goals.

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Pay as You Go
  • Per perturbation pair pricing: Flat rate with volume discounts available.

  • No upfront commitment: Purchase credits, use as needed, and top up anytime.

  • Transparent billing: Only pay for completed calculations.

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Enterprise
  • No limitation on bandwidth: Run 1,000+ tasks concurrently.

  • All-inclusive pricing: Save $$ vs. maintaining in-house clusters or private cloud.

  • Flexible deployment: Use our SaaS platform or deploy on private cloud.

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Academia & Non-profit
  • Special rates: Tailored to grant budgets and collaborative projects.

  • Free training: Onboarding workshops and ad-hoc training sessions.

Virtual Screening Workflow

Uni-VSW: Unlocking Billion-Scale Compound Libraries

With the rapid expansion of modern chemical libraries, virtual screening has become an essential tool for hit discovery. Uni-VSW offers a 12-step workflow for researchers to efficiently prioritize and evaluate vast chemical spaces, and screen up to 100 million molecules in a single day.

Learn more about Uni-VSW
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ADME/T Property Prediction

Uni-QSAR: A No-code Auto-ML Tool for Molecular Property Prediction

Low-data scenarios and demanding model (re-)building processes are bottlenecks for the widespread use of ML, especially among smaller biotechs. Uni-QSAR leverages our Uni-Mol pre-trained model to achieve high prediction accuracy and out-of-distribution prediction, even with minimal data.

Learn more about Uni-qsar