Rescale
Rescale lets engineers run HPC simulations on the cloud in minutes.
Rescale is an enterprise cloud simulation platform that enables research scientists and engineers to run high-performance computing (HPC) workloads—including finite element analysis (FEA), computational fluid dynamics (CFD), and AI simulations—on their choice of cloud providers without infrastructure setup or maintenance. The platform automates hybrid cloud orchestration with built-in security, architectural controls, and financial governance. Engineers can configure complex engineering analyses for computation in minutes via a web browser, dramatically reducing time-to-market for product design cycles. Rescale serves 300+ customers including 7 of the top 10 automakers, 7 of the top 10 aerospace companies, and 3 of the top 6 life science companies.
Problem solved
Engineering teams waste weeks setting up, maintaining, and scaling on-premises HPC infrastructure instead of focusing on design optimization and innovation.
Target customer
Fortune 500 and mid-market companies in automotive, aerospace, life sciences, and advanced manufacturing that require computationally intensive simulations and want to avoid on-premises HPC infrastructure.
Founders
J
Joris Poort
CEO
Mechanical engineer (University of Michigan, magna cum laude) and aerospace engineer (University of Washington, MBA from Harvard Business School with distinction). Started career at Boeing optimizing the 787 Dreamliner, where he and co-founder Adam McKenzie created software that saved $180 million in weight optimization.
A
Adam McKenzie
CTO
Aerospace engineer who worked at Boeing alongside Joris Poort on 787 Dreamliner structural optimization, helping develop technology that achieved $180 million in cost savings.
Funding history
Seed
Unknown
September 18, 2012
Led by Unknown
· Y Combinator
Series B
$32M
July 24, 2018
Led by Initialized Capital, Keen Venture Partners, SineWave Ventures
· Unknown
Series D
$115M
April 7, 2025
Led by Applied Materials, Foxconn Electronics
· Existing investors including M12 (Microsoft Ventures), NVIDIA, Samsung Catalyst Fund
Total raised:
$369M
Industries
Pricing
Flexible consumption-based model with two options: On-Demand Economy (lower costs, excess capacity) and On-Demand Reserved (reduced costs with longer-term contracts). Requires upfront dollar commitment drawn down based on platform usage. Pay-per-use pricing reduces costs versus traditional on-premises HPC infrastructure.
Notable customers
DENSO, Sikorsky Innovation, Boom Aerospace, Trek Bikes, Zeleros, Amogy, AZothBio, Exponent, Optisys, Modine Manufacturing, Dinex, Pinnacle Engines, Boundary Layer Technologies
Integrations
Multi-cloud support (AWS, Azure, Google Cloud), integration with FEA software (ANSYS, COMSOL, etc.), CFD tools, optimization software, CAD platforms
Tech stack
jQuery (JavaScript libraries)
HTTP/3
WordPress (Blogs)
Cloudflare Bot Management (Security)
Typekit (Font scripts)
PHP (Programming languages)
Google Workspace (Email)
cdnjs (CDN)
Cloudflare (CDN)
MySQL (Analytics)
Stripe (Payment processors)
Google Tag Manager (Tag managers)
RankMath SEO (SEO)
Cloudways (PaaS)
Amazon Web Services (PaaS)
Usercentrics (Cookies compliance)
Mailgun (Email)
Kadence WP Kadence (WordPress themes)
The Events Calendar (WordPress plugins)
Ivory Search (WordPress plugins)
GTranslate (Translation)
Website
Competitors
CoreWeave
GPU-focused cloud infrastructure provider; less integrated with enterprise simulation software and FEA/CFD workflows.
Theta Token
Distributed computing platform with different tokenization model; not specifically built for engineering simulation workloads.
Neysa
Smaller competitor in HPC-as-a-service space with more limited customer base and cloud provider integrations.
Why this matters: Rescale became the first unicorn in cloud HPC (2022, $1B+ valuation) by solving a $180M+ problem that founders experienced at Boeing. The recent $115M Series D (April 2025) backed by Applied Materials and Foxconn signals major industrial adoption beyond tech, positioning Rescale as the enterprise standard for engineering simulation in the cloud.
Best for: Engineering-heavy organizations in automotive, aerospace, and life sciences that need to accelerate design iteration cycles and reduce time-to-market without investing in on-premises HPC infrastructure.
Use cases
Automotive Crash and Structural Analysis
An automotive OEM needs to run FEA simulations on hundreds of vehicle design iterations. Instead of queuing jobs on internal HPC clusters or outsourcing to service bureaus, engineers use Rescale to spin up the exact compute resources needed, run simulations in parallel, and analyze results—reducing cycle time from weeks to days.
Aerospace Wing Optimization
An aerospace company needs to optimize a wing design for weight and aerodynamic performance using CFD. Engineers upload their design files, select optimized hardware, and Rescale automatically configures the cloud environment with pre-loaded simulation software and runs hundreds of CFD iterations in parallel—delivering optimized designs in hours instead of months.
Drug Discovery Molecular Simulation
A biotech company runs thousands of molecular dynamics simulations to screen drug candidates. Rescale's platform allows researchers to submit simulations via web interface without managing compute clusters, automatically distributing work across cloud GPUs and CPUs, and providing results dashboards—enabling faster drug discovery cycles.
Alternatives
In-house HPC Infrastructure
Higher upfront capex and ongoing maintenance burden; pick this if you have highly specialized, constant-load workloads that justify the infrastructure investment.
Cloud HPC Service Bureaus
Manual job submission and longer turnaround times; choose if you prefer hands-off outsourcing but are willing to sacrifice speed and flexibility.
Raw Cloud Compute (AWS HPC, Azure Batch)
Requires significant internal engineering to configure environments, install software, and manage workflows; pick if you have deep HPC expertise in-house and want maximum customization.
FAQ
What does Rescale do? +
Rescale is a cloud simulation platform that automates high-performance computing for engineering workflows. It lets research scientists and engineers run finite element analysis (FEA), computational fluid dynamics (CFD), and AI simulations on cloud providers of their choice without managing infrastructure. Engineers configure complex analyses in minutes via a web browser and access results dashboards without any setup or maintenance.
How much does Rescale cost? +
Rescale uses consumption-based pricing with upfront dollar commitments. They offer On-Demand Economy (flexible, lower-cost) and On-Demand Reserved (discounted with longer-term contracts). Specific pricing is customized per customer and drawn down based on platform usage. Contact their sales team for a quote.
What are alternatives to Rescale? +
Alternatives include building on-premises HPC clusters (high capex, full control), using traditional HPC service bureaus (slower, hands-off), raw cloud compute services like AWS HPC or Azure Batch (requires deep engineering), and competitors like CoreWeave and Neysa (less specialized for engineering workflows).
Who uses Rescale? +
Rescale serves 300+ customers including 7 of the top 10 global automakers, 7 of the top 10 aerospace companies, and 3 of the top 6 life science companies. Named customers include DENSO, Sikorsky Innovation, Boom Aerospace, Trek Bikes, and Zeleros. The platform is used by Fortune 500 enterprises and growing mid-market companies in automotive, aerospace, life sciences, and advanced manufacturing.
How does Rescale compare to CoreWeave? +
Rescale is a full-stack engineering simulation platform with pre-integrated FEA, CFD, and optimization software, automated resource orchestration, and security controls built for enterprises. CoreWeave is a lower-level GPU infrastructure provider focused on distributed computing. Rescale saves weeks of setup and configuration; CoreWeave requires more engineering to build simulation workflows on top.
Tags
HPC
high-performance computing
cloud simulation
engineering simulation
CAE
FEA
CFD
multi-cloud
infrastructure automation