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SimScale

SimScale is a cloud-native (CAE) software platform that provides simulation capabilities for , , thermal analysis, electromagnetics, and multiphysics applications, all accessible through a without requiring dedicated hardware or installations. Founded in 2012 in , , by David Heiny, Vincenz Dölle, Johannes Probst, Alexander Fischer, and Anatol Dammer—graduates of the —the company aimed to democratize access to advanced simulation tools by leveraging to eliminate barriers like high costs and . SimScale , the developer behind the platform, has since expanded with offices in and , serving over 700,000 users as of 2025 across industries such as , automotive, , and . Key features include integrated Engineering AI for automated setup, , and exploration; seamless with CAD tools and third-party solvers; and collaborative workflows that unlimited resources for and iteration. These capabilities reduce physical prototyping needs, accelerate decision-making, and foster teamwork, earning the platform high ratings for ease of use and from industry professionals.

Overview

Company Profile

SimScale is a cloud-based engineering company founded in 2012 in Munich, Germany, by five graduates of the (TU Munich): David Heiny, Vincenz Dölle, Johannes Probst, Alex Fischer, and Anatol Dammer. The company originated from an initial idea in 2011 to provide consultancy services, which evolved into the development of a full cloud-native platform launched in 2013. Headquartered in , SimScale maintains offices in and , and employs a global remote workforce, fostering a diverse that prioritizes customer-centric practices. The organization emphasizes to bring varied perspectives to its operations. SimScale's mission is to democratize simulation through a cloud-based software-as-a-service () model, empowering engineers worldwide to optimize product designs more efficiently and accessibly. As of 2025, the platform has over 700,000 registered users and supports key industries including automotive, , , , and .

Platform Fundamentals

SimScale is a full-cloud (CAE) designed to enable engineers to perform complex analyses directly through a , thereby eliminating the need for high-end local or extensive software installations. This browser-based accessibility allows users to run simulations on scalable cloud resources, leveraging capabilities to handle demanding workloads without the constraints of on-premise infrastructure. The platform supports seamless CAD import from various tools, including , , and , facilitating quick model preparation and integration into the simulation workflow. At its core, SimScale integrates open-source solvers such as for (CFD) with proprietary enhancements to ensure reliability, accuracy, and ease of use in a cloud environment. These enhancements include optimized algorithms and user interfaces that streamline solver setup and execution, making advanced simulations more approachable for non-experts. Launched in 2013 as the world's first production-ready (SaaS) application for engineering simulation, the platform emphasizes browser-based 3D visualization and post-processing tools, allowing real-time interaction with results without additional downloads. The fundamental benefits of SimScale's include significantly reduced setup time, as users can access the instantly without installations, and enhanced through shared projects that support team-based editing and review. For small and medium-sized enterprises (SMEs), it offers substantial cost savings compared to traditional on-premise software, by providing scalable resources on a pay-as-you-go model and democratizing access to high-fidelity simulations previously limited to large organizations with dedicated .

History

Founding and Early Years

SimScale originated in 2011 as a simulation consultancy founded by five graduates of the Technical University of Munich (TU Munich), who recognized the need for accessible computational engineering services tailored to startups and small teams lacking in-house expertise. The founders—David Heiny, Vincenz Dölle, Johannes Probst, Alexander Fischer, and Anatol Dammer—had backgrounds in mechanical engineering, computer science, and mathematics, with several holding degrees from TU Munich and additional studies at institutions like Georgia Tech. This initial venture emerged as a spin-out from TU Munich, focusing on providing specialized simulation consulting to overcome the high costs and complexity of traditional computer-aided engineering (CAE) tools. In 2012, the company was officially incorporated in , , marking a strategic pivot from consultancy services to developing a cloud-based platform. This shift was motivated by the emerging potential of and software-as-a-service () models in 2011, which promised to eliminate the hardware barriers inherent in conventional CAE workflows, such as expensive local installations and maintenance. By leveraging cloud infrastructure, the founders aimed to democratize access to high-performance simulations for engineers worldwide, without requiring significant upfront investments in computing resources. A version was developed in 2012, initially targeting simulations powered by the open-source solver, allowing early users to test web-based CAE capabilities. The platform faced initial challenges in constructing scalable cloud infrastructure to handle compute-intensive tasks and validating solver accuracy in a distributed , ensuring results matched those of traditional software without local setups. These efforts culminated in the full public launch in December 2013, positioning SimScale as the world's first fully web-based 3D platform. During this formative period, the team expanded modestly from the five founders to a small core of based in , concentrating on technical development and platform refinement to support broader adoption.

Expansion and Milestones

Following its initial phase, SimScale publicly launched its free Community Plan on December 2, 2015, offering users up to 3,000 core hours of annual computing power and 500 GB of storage to democratize access to simulations via a . This release was supported by a Series A funding round led by , which provided capital to scale the platform's infrastructure and user base. In 2017, SimScale raised Series B from Fund to fuel product development and market expansion. During this period through 2020, the company broadened its simulation capabilities, adding advanced features such as thermomechanical simulations for transient heating and in early 2016, enabling engineers to model in solids and fluids more comprehensively. In January 2020, SimScale secured a €27 million Series C round led by , which accelerated global operations and platform enhancements, including deeper integrations for multiphysics workflows. The Series C funding continued with a €25 million extension in October 2021, co-led by and Draper Esprit (now ), with participation from Earlybird, June Fund, Vsquared Ventures, and , bringing the total round to €52 million and supporting further innovation in cloud-native tools. By 2023, SimScale integrated AI surrogate modeling using Graph Neural Networks to accelerate simulations by approximating complex physics on structured data like meshes, reducing computation times from hours to seconds for tasks. In 2024, SimScale enhanced its platform for real-time workflows, incorporating AI-powered features for rapid and directly within CAD environments, alongside reaching a milestone of over 600,000 registered users worldwide who had completed more than 4 million jobs. In December 2024, SimScale signed a €25 million financing agreement with the to scale its software development, broaden functionalities, and foster deep-tech advancements in the . To support its growing North American presence, SimScale expanded its U.S. operations with teams in and starting around 2018, enhancing local support and sales. As of 2025, SimScale continued its product evolution with the Summer 2025 update, introducing enhancements like probe points for electromagnetics post-processing and advanced multiphysics couplings, building on prior releases such as updates to temperature-dependent material properties (including solids) in August 2024 and modeling added in 2023. In March 2025, SimScale launched the world's first foundation model for , focusing on like centrifugal pumps, in collaboration with , enabling near-instantaneous predictions. Strategic partnerships with CAD vendors, including PTC's for seamless integration and for advanced , further streamlined workflows for users importing geometry directly into the cloud platform.

Technology and Features

Simulation Modules

SimScale provides a suite of simulation modules that enable engineers to perform advanced analyses directly in the , leveraging open-source solvers for high-fidelity results without local constraints. These modules cover core engineering disciplines, including , , thermal management, and electromagnetics, each tailored to specific physical phenomena while supporting scalable for complex models.

Computational Fluid Dynamics (CFD)

The (CFD) module in SimScale simulates fluid flow, , and multiphase flows using the , primarily powered by the solver. This approach discretizes the governing equations over a computational to predict , , and fields in applications such as , HVAC systems, and chemical processes. For incompressible flows, where variations are negligible, the module handles laminar and turbulent regimes with turbulence models like k-ω SST. Compressible flows, relevant for high-speed scenarios, account for changes exceeding 30% of the . Multiphase simulations employ the Volume of Fluid (VoF) method to model interfaces between immiscible fluids, such as air and in droplet dynamics. capabilities include convective cooling through natural or , with modeled via surface-to-surface or discrete ordinates methods. The core governing equations for fluid motion are the Navier-Stokes equations, solved iteratively in the cloud to manage large-scale transient simulations efficiently: \frac{\partial \mathbf{u}}{\partial t} + (\mathbf{u} \cdot \nabla) \mathbf{u} = -\frac{\nabla [p](/page/Pressure)}{\rho} + \nu \nabla^2 \mathbf{u} + \mathbf{f} Here, \mathbf{u} is the velocity vector, p is , \rho is , \nu is kinematic , and \mathbf{f} represents body forces; cloud-based solving allows for rapid convergence on distributed resources.

Finite Element Analysis (FEA)

Finite Element Analysis (FEA) in SimScale focuses on , encompassing linear and nonlinear static, dynamic, and thermo-mechanical analyses using the code_aster, , and Hexagon's solvers (integrated as of July 2025). These open-source and advanced tools apply the to discretize solid domains into elements, solving for displacements, stresses, and strains under applied loads and constraints. Static analyses evaluate steady-state responses to forces, s, or thermal expansions, supporting both linear elastic materials and nonlinear behaviors like or large deformations. Dynamic simulations capture time-dependent effects, such as or , through or transient solvers that compute natural frequencies and mode shapes. Thermo-mechanical analyses couple structural deformation with temperature-induced expansions, ideal for components under combined thermal and mechanical loading. excels in straightforward linear static problems with robust handling, while code_aster offers advanced nonlinear capabilities, including cyclic and reduced for efficiency. provides robust handling of large deformations, interactions, and material nonlinearities. Material models incorporate temperature-dependent properties, such as varying with heat, to reflect real-world conditions.

Thermal Analysis

The Thermal Analysis module simulates processes, including conjugate , convective cooling, and , with support for temperature-dependent material properties across solid and fluid domains. Conjugate (CHT) models coupled conduction in solids and convection in fluids at interfaces, using either body-fitted meshes or the immersed boundary method () for complex geometries like heat exchangers or electronics cooling. Convective cooling analyzes buoyancy-driven or forced flows influenced by temperature gradients, incorporating via view factors or ray tracing for accurate surface heat exchange. Standalone in solids computes temperature distributions and fluxes under boundary conditions like fixed temperatures or heat fluxes, accommodating nonlinear materials where thermal conductivity decreases with rising temperatures. These simulations leverage the energy equation alongside momentum solvers, enabling predictions of hotspots and thermal gradients in multiphysics scenarios. is particularly emphasized in CHT setups to quantify emissive losses in high-temperature environments. As of August 2024, enhancements include temperature-dependent solid properties such as thermal conductivity and specific heat for CHT analyses.

Electromagnetic Simulations

Electromagnetic Simulations in SimScale model low-frequency and emerging high-frequency phenomena using open-source codes, focusing on , , and in devices like electric motors and antennas. Low-frequency analyses, such as magnetostatics for currents or time-harmonic magnetics for , compute density, , and inductances in nonlinear materials like ferromagnetic cores. Time-transient magnetics handles varying fields from pulsed currents, supporting applications in switched reluctance motors where core losses and are critical. Electrostatic simulations evaluate strengths and for designs. High-frequency capabilities remain under development as of September 2025 and will extend to antennas via frequency-domain solvers for wave propagation. These modules integrate with analyses for effects, using finite element discretization to solve efficiently in the cloud. Examples include optimizing motor efficiency by minimizing losses. Recent additions as of August 2024 include core loss models for and power ferrite, nonlinear material support with B-H curves, and probe points for targeted post-processing (Summer 2025).

Advanced Tools and Integrations

SimScale incorporates surrogate modeling to accelerate simulations by training lightweight models on high-fidelity , enabling real-time predictions for such as in applications. These models, developed in collaboration with NVIDIA's PhysicsNeMo framework, can reduce computation times dramatically—for instance, the foundation model for simulations, released in March 2025, speeds up predictions by up to 2,700 times compared to traditional methods—while maintaining causal physics-based accuracy. By leveraging graph neural networks in the backend, SimScale's approximate complex outcomes like routing or structural responses, allowing engineers to explore thousands of variants in seconds without full recomputation. As of Summer 2025, has expanded to the multi-purpose solver for instant outcome predictions and streamlined setup via foundation models. Workflow tools in SimScale enhance simulation efficiency through parametric studies, which enable rapid evaluation of multiple operating conditions or geometric variations to optimize equipment performance. is supported via integrated automation, such as linking simulations with external tools like ESTECO for iterative refinement of structural or designs. Automated features streamline result documentation, while specialized controls like probe points facilitate targeted measurements in electromagnetic analyses, such as field intensities at specific locations. Additionally, pocket face selection in CAD preparation automates the identification and grouping of surfaces for boundary conditions, simplifying setup for intricate models. SimScale offers direct API integrations with CAD platforms including for seamless model import and simulation without file downloads, via a dedicated add-in for one-click geometry uploads, and through compatible neutral formats and API access for workflow automation. As of Summer 2025, integration with nTop supports implicit for CFD applications. These connections support cloud-based collaboration, featuring shared project libraries for team access and to track design iterations across distributed users. Recent enhancements from 2024 to 2025 include the integration of Hexagon's nonlinear structural solver in July 2025, which enables robust analysis of large-deformation , interactions, and material nonlinearities in cloud environments; humidity source modeling added to CFD workflows in Q3 2023 for moisture injection or in multiphysics scenarios like HVAC systems; and robust meshing improvements for complex geometries, with features like automatic CAD surface merging (ongoing). Additional updates encompass porous media modeling and multicomponent gas mixing in CFD (August 2024), viscous heating and for CHT in thermal analyses (Summer 2025), and pin connectors for structural simulations (August 2024). Post-processing in SimScale provides an integrated visualization environment for interactive exploration of results, including isosurfaces, streamlines, and fields directly in the . Results can be exported in formats compatible with for advanced offline analysis, supporting detailed filtering and scripting for large datasets.

Applications

Key Industries

SimScale's cloud-based simulation platform finds extensive application in the , where it supports simulations to optimize vehicle airflow and drag reduction, crash testing through nonlinear to assess impact resistance, and HVAC system optimization for efficient and energy use. These capabilities enable engineers to iterate designs virtually, reducing physical prototyping costs by up to 45% in projects involving (CFD) and finite element analysis (FEA). In the aerospace sector, SimScale facilitates evaluations of structural integrity for components such as and airframes, ensuring compliance with rigorous safety standards under aerodynamic loads. The platform also aids management simulations for critical parts like blades, predicting distribution and material stress to enhance durability and performance in extreme conditions. For electronics design, SimScale provides simulations to model dissipation in printed boards (PCBs), supporting strategies like cooling to prevent overheating and extend device lifespan. The consumer goods industry leverages SimScale for simulations in , such as analyzing liquid flow in beverage containers to improve stability and prevent spills. It also supports ergonomic assessments through structural and CFD analyses for products like car seats and mobile devices, optimizing comfort and user interaction without extensive physical testing. In the energy sector, SimScale is used for simulations, combining CFD for and velocity profiling with FEA for to boost power output efficiency by up to 5%. The platform further applies thermal simulations to prevent battery , modeling heat buildup and safety measures in systems to support sustainable power solutions. In 2024, platform enhancements introduced AI-powered tools specifically targeting real-time workflows, accelerating iteration cycles for broader industry accessibility.

Case Studies

SimScale has been instrumental in various real-world projects, enabling users to achieve measurable improvements through cloud-based simulations. One notable example is Tokyowheel, a manufacturer of carbon fiber bicycle wheels, which utilized SimScale's (CFD) capabilities to optimize the aerodynamic profiles of its racing wheels. By simulating airflow over multiple design variations in a virtual , including yaw angles and turbulent boundary layers, Tokyowheel tested 10 iterations, each completing in approximately 30 minutes on 16 cores. This process led to a more aerodynamic design, reducing hardware costs by $40,000 compared to traditional on-premises setups and providing higher-fidelity drag and surface pressure data for enhanced cycling efficiency. In the electronics sector, QRC Technologies, a provider of radio frequency (RF) test equipment, employed SimScale's simulation tools to address overheating in its RF testers. The company modeled heat dissipation in enclosures housing sensitive components like hard drives and controller chips, which previously reached 50°C under . Through conjugate analyses, QRC evaluated over five design iterations, incorporating heat sinks with slugs and pads to improve thermal paths. These simulations prevented potential thermal damage, shortened the design cycle by 4-6 weeks, and eliminated the need for physical prototypes, saving an estimated $40,000 in costs. A 2024 automotive application demonstrated SimScale's role in (EV) component design, particularly through integration with ' Solid CAD for streamlined workflows. In a collaboration highlighted in recent engineering sessions, teams used SimScale for real-time thermal management simulations of EV battery packs, such as those in high-performance hypercars developed by . By applying conjugate modules to liquid-cooled battery systems, engineers iterated on cooling strategies to maintain optimal temperatures under extreme loads, achieving up to 96% reduction in simulation times compared to legacy methods. This integration facilitated faster design iterations, enhancing battery efficiency and vehicle range without extensive hardware testing. For , SimScale supported () analysis in a project involving multi-chip assemblies typical of portable devices. Engineers performed transient simulations over 300 seconds to map distributions and surface fluxes across nine chips, identifying hotspots that could compromise reliability. Based on these insights, the layout was redesigned for better spreading, validated through subsequent iterations that confirmed reduced peak temperatures and enabled a more compact . This approach avoided costly revisions in physical prototypes, streamlining development for compact consumer products. Across these implementations, SimScale delivered quantifiable benefits, including cost reductions and accelerated market entry.

Business and Community

Funding and Business Model

SimScale has raised approximately $60 million in across nine rounds since its . The company's seed round in 2014 was led by Earlybird . A pivotal Series C round in January 2020 raised €27 million, led by , with participation from existing investors including Earlybird Venture Capital, , and June Fund. This was followed by a €25 million extension in October 2021 from , Earlybird, , and , bringing the total Series C funding to €52 million. In December 2024, SimScale signed a €25 million financing agreement with the to support R&D enhancements and European business scaling. Key investors in SimScale include , Earlybird Venture Capital, , , High-Tech Gründerfonds, and Bayern Kapital. SimScale operates on a software-as-a-service () subscription model with tiered pricing plans tailored to individual users, teams, and enterprises. The plan is free and includes up to 3,000 core hours annually, 500 of storage, and access to 10 unrestricted public projects with selected analysis types such as structural and simulations. The plan, designed for individual commercial users, offers unlimited projects, custom core hour quotas, private projects, and full access to all standard analysis types for a subscription fee determined by usage needs. The plan provides customized subscriptions with unlimited simulations, team collaboration features, access, dedicated support, and scalable compute resources for multiple users. Revenue is primarily generated through these paid subscriptions, supplemented by add-ons for additional core hours and specialized analyses beyond standard quotas, with volume discounts available for larger commitments. In a recent year, SimScale projected $3.2 million in IT spending to support its operations. The company achieved a of €205 million following its 2021 Series C extension, emphasizing recurring from its global subscriber base across engineering sectors.

Community Initiatives

SimScale launched its Community Plan on December 2, 2015, providing a free tier that grants access to the platform's core features for students, hobbyists, and occasional users. This plan includes 3,000 core hours of computing power annually and 500 GB of storage, with all projects required to be public to encourage sharing and collaboration within the engineering community. A key component is the public project library, which hosts thousands of simulation templates and user-shared projects across areas like (CFD) and finite element analysis (FEA), serving as a resource for learning and validation. To support education, SimScale offers extensive resources including interactive tutorials covering CAD manipulation, meshing, and analysis setup for various CAE disciplines. The platform hosts regular webinars and workshops on topics such as and cloud-based CAE, aimed at building foundational skills in engineering simulation. Through the SimScale Academy, users can complete structured courses on CFD and FEA, earning digital certificates upon submission of project-based assessments, which validate proficiency in simulation workflows. The Academic Program extends these resources to , providing free access at over 1,000 universities worldwide, including the (TUM), , and , to integrate cloud CAE into curricula and research. User engagement is facilitated by the SimScale CAE Forum, an active where engineers discuss platform features, troubleshoot simulations, and collaborate on projects. The company organizes annual workshops, such as introductory CFD sessions and specialized events on design simulation, to foster hands-on learning and networking. SimScale integrates with open-source tools like for its CFD solver, enabling seamless compatibility and allowing users to leverage community-developed extensions within the cloud environment. In terms of inclusivity, SimScale promotes diversity through initiatives like its Women in Tech program, which highlights female contributions across engineering and development roles to inspire underrepresented groups in . The platform supports global student competitions in engineering design, encouraging participation from diverse talent pools to drive innovation in simulation applications. These efforts have cultivated a collaborative , with the public project exceeding thousands of shared simulations that serve as educational benchmarks and spark further innovation. In 2024, platform updates enhanced overall , including improved solver capabilities that indirectly support community-driven knowledge sharing via the forum.

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