Unify Compute, Data & AI with Rescale

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From Managing Infrastructure to Accelerating Discovery 

Rescale delivers granular insight into every workload and license, automates right-sizing, and reclaims idle capacity — cutting total infrastructure costs

Enforce regulatory standards and data protection with built-in access controls, encryption, and audit trails — ensuring FDA, GxP, and HIPAA compliance

Rescale delivers governed self-service for HPC, data, and AI workflows — enabling scientists to move faster while IT retains complete oversight and security

The Hidden Cost of Complexity in Digital R&D Computing

Every life sciences breakthrough depends on IT. Research teams face growing friction from fragmented environments, compliance overhead, and tightening budgets.
The result: slower simulations, duplicated effort, and missed opportunities to accelerate discovery.

Empower Teams with the Latest Computing Resources

With Rescale, IT shifts from reactive infrastructure management to proactive scientific enablement.

Deliver compliant, scalable compute resources on demand

Optimize compute and licensing costs across clouds

Enable R&D teams with the latest technologies for data intelligence and AI-driven R&D

Leading Applications Supported

With full-stack support and deep pharmaceutical expertise, Rescale enables teams to optimize performance and cost across leading applications including GROMACS, AMBER, Schrödinger, Gaussian, NONMEM, and many more, accelerating innovation from discovery through development.

Most Frequently Adopted Use Cases

Rescale powers a full spectrum of in silico R&D applications — from molecular dynamics, quantum chemistry, and PK/PD modeling to genomics pipelines, bioinformatics, and crystallization studies. Designed for scalability, security, and regulatory compliance, the platform supports advanced use cases such as AI/ML surrogate modeling, digital twins, and regulatory-ready visualization — all within a unified digital R&D environment.

Rescale enables unified orchestration across all computational disciplines — from electronic structure to system-level simulation

  • Multireference Configuration Interaction ​
  • Density Functional Theory ​
  • Time Dependent Functional Theory​
  • GW Approximation ​
  • Hartree-Fock​
  • Post Hartree-Fock​
  • Møller–Plesset ​
  • Coupled Cluster​
  • Semi-Empirical Quantum Chemistry​
  • Computational Fluid Dynamics​
  • Finite Element Analysis​
  • Electronic Design Analysis​

Rescale supports a variety of scientific application domains

  • Conformational Analysis​
  • Crystal Structure Prediction​
  • Biomarker discovery​
  • Molecular Dynamics​
  • Molecular Docking​
  • Lead Optimization​
  • Peptide Discovery​
  • Antibody Discovery​
  • Genomics​
  • Biologics​
  • SMDD​

Solutions for R&D and IT — Shared Success with Rescale

R&D Teams

Empower Scientists with Speed and Insight

Accelerate research by unifying simulations, data, and AI. Run more studies in parallel, reuse previous results, and reduce redundant wet-lab experiments. Achieve faster candidate evaluation, lower costs, and stronger regulatory documentation — from discovery through IND to First-in-Human readiness.

IT Teams

Deliver Secure, Compliant Compute at Scale

Support innovation without adding bottlenecks. Gain visibility into compute and licensing spend, enforce regulatory and data governance, and optimize distributed environments — empowering R&D teams with scalable, compliant infrastructure.

Your Colleagues at Vertex are Using Rescale – Book a Demo to See Why

Discover how your team can adopt Rescale to securely create a digital thread for data intelligence, automated compliance and cost-performance, and built-in AI readiness. See how and why your colleagues at Vertex are using Rescale. Book a demo today.