Rescale

Rescale provides a cloud-based digital engineering platform that unifies high-performance computing, modeling and simulation, workflow automation and AI-based methods for engineering and scientific R&D teams. The platform supplies elastic cloud infrastructure that scales with demand and automatically optimizes hardware configurations, together with a library of pre-configured simulation and AI applications intended to remove setup and configuration work. A unified modeling and simulation environment provides workflow orchestration across the simulation stack.

Beyond compute and simulation execution, Rescale offers agentic engineering capabilities in which software agents handle orchestration, monitoring and first-pass analysis of expert workflows, and an "AI Physics" operating system that automates steps from data preparation through model deployment to turn existing simulation data into surrogate models producing predictions in milliseconds. Additional platform functions cover HPC cloud bursting and migration, GPU acceleration, financial management and compute cost optimization, security and compliance management, simulation software and license management, cloud and hardware resource orchestration, simulation data and workflow management, and building custom AI/ML models for engineering and scientific research. Published product content includes predictive-maintenance digital twin workflows linking simulation, Python and machine learning, multi-stage computational chemistry workflows, automated CAD-to-CFD design loops with data lake integration, and a Simulation Guide Agent that surfaces simulation guidance from technical documentation, user guides and templates.

Business model

Rescale sells access to a platform combining cloud compute and storage, pre-configured simulation and AI applications, and workflow and data management tooling, positioning itself as the orchestration layer over an organization's digital engineering stack, including application and simulation-software license management and compute spend tracking and optimization.

Traction

Publicly cited platform-scale figures include over 180 supported hardware architectures, a library of more than 1,250 pre-configured HPC and AI applications and more than 1,000 audited security controls. Marketed outcome claims include 78% reduction in R&D cycle time, four to eight times more design candidates explored, and over 65% optimization of full-stack spend.

Latest developments

Recent platform content centers on AI-oriented capabilities: a Simulation Guide Agent that delivers workflow-specific simulation guidance drawn from technical documentation and templates, predictive maintenance digital twin workflows connecting simulation, Python and machine learning, multi-stage computational chemistry workflows, and automated CAD-to-CFD design loops integrated with data lakes. A featured customer story covers McLaren Automotive's use of AI physics and agentic digital engineering.