Linkedin-in
Search
Bars

About Rescale

Rescale is the digital engineering platform for AI-first product development, trusted by leading teams in aerospace, automotive, energy, life sciences, manufacturing, government, and semiconductors to run their most advanced R&D workloads.

Rescale brings together five core solution areas:

  • High performance computing (HPC) – elastic, cloud-scale compute for engineering and AI
  • Advanced modeling & simulation – full-stack environment for CAE workflows
  • Data intelligence – an R&D data fabric for simulation-aware analytics and AI
  • AI physics – an operating system for surrogate models and physics-aware AI
  • Agentic engineering – simulation-native automation with intelligent AI agents

All delivered as one unified platform that connects software, infrastructure, and engineering data to accelerate real-world product development workflows.

Learn more here.

Meet Our Customers

Across industries, leading organizations rely on Rescale to modernize simulation, harness AI, and optimize HPC economics — from aerospace pioneers and automotive innovators to industrial manufacturers, energy leaders, and life sciences organizations.

Customers achieve outcomes such as dramatic reductions in simulation time, expanded design exploration, and significant cost savings per job, using Rescale as the foundation for their digital engineering and AI-first strategies.

Selected customer stories:

  • Sumitomo Precision Products – Aerospace
    Transitioned from legacy on-premises workstations to Rescale to support high-accuracy simulations and more automated engineering workflows in aerospace development. Case study: Sumitomo Precision Products
  • Nissan – Automotive
    Uses Rescale to modernize HPC for vehicle development, improving access to scalable compute and advanced simulation while maintaining strict cost and governance controls. Case study: Nissan × Rescale
  • NOV – Energy
    Collaborates with Rescale and Microsoft Azure to accelerate engineering workloads in energy, using cloud HPC to shorten simulation cycles and reduce infrastructure overhead. Case study: NOV on Azure + Rescale
  • Brother Industries – Manufacturing
    Leverages Rescale to improve simulation throughput and flexibility for advanced manufacturing programs, replacing fixed on-prem capacity with elastic cloud HPC. Case study: Brother Industries
  • AzothBio – Life Sciences
    Combines Rescale with NVIDIA technologies to accelerate deep learning–driven drug discovery, scaling GPU workloads while keeping sensitive data governed and secure. Case study: AzothBio with NVIDIA & Rescale

A broader library of cross-industry success stories — including Boom Supersonic, General Motors Motorsports, Bionano, XTI Aircraft, and others — highlights how Rescale helps customers compress development timelines, reduce costs, and bring AI into production engineering workflows.

Rescale Solution Areas

High Performance Computing (HPC) – Power Modern Engineering with Agility and Efficiency

Rescale HPC delivers elastic, cloud-scale compute for engineering and AI workloads, with a fully managed platform that abstracts away infrastructure complexity while preserving control over cost, security, and performance.

Teams can:

  • Scale from dozens to thousands of cores on demand, across leading cloud and hardware providers
  • Run a broad catalog of pre-installed engineering and AI applications without local cluster maintenance
  • Enforce governance, security, and cost policies from a single control plane
  • Optimize cost–performance with intelligent core-type and configuration recommendations

Advanced Modeling & Simulation – Streamline Workflows with Full-Stack Automation

Advanced modeling & simulation on Rescale provides a complete technology stack for CAE: elastic HPC, prebuilt software libraries, workflow orchestration, visualization, storage, and metadata capture in one environment.

Teams can:

  • Orchestrate end-to-end simulation workflows from a single pane of glass
  • Standardize best-practice templates across teams to reduce errors and rework
  • Benchmark and tune workloads for throughput, turnaround time, or cost
  • Continuously capture run context, KPIs, and lineage to support reuse and compliance

Data Intelligence – Turn Simulation Data into Strategic Engineering Knowledge

Data intelligence establishes an R&D-specific data fabric that automatically captures simulation context at runtime and unifies results into a searchable, AI-ready knowledge base.

Teams can:

  • Search, analyze, and reason over historical simulations with conversational AI and full traceability
  • Link runs to product configurations, requirements, and decisions to build a digital thread
  • Automate evidence assembly for audits and certifications
  • Prepare high-quality datasets that power AI physics models and agentic workflows

AI Physics – Transform Simulation Speed, Explore More Possibilities

AI physics on Rescale is an operating system for surrogate models and physics-aware AI, turning existing simulation and test data into models that deliver millisecond predictions with high accuracy.

Teams can:

  • Train, validate, and deploy surrogates for CFD, FEA, thermal, NVH, and other applications
  • Embed real-time performance predictions into design tools and digital twins
  • Explore far more design alternatives in the same time and budget
  • Combine AI surrogates with high-fidelity solvers for hybrid, multi-physics workflows

Agentic Engineering – Automate Engineering Workflows with Intelligent AI Agents

Agentic engineering turns manual, expert-driven workflows into governed, AI-assisted processes where agents orchestrate simulations, monitor runs, and complete first-pass analysis while engineers stay in control.

Teams can:

  • Automate meshing, solving, post-processing, and reporting with human approval gates
  • Troubleshoot failed jobs faster with solver-aware log analysis and recommendations
  • Continuously monitor usage to flag duplicate work and cost anomalies
  • Run automated benchmarking and configuration sweeps to optimize cost–performance at scale

Learn More & Get Started