Solverx
1 known investors
Find your way into Solverx
SolverX develops AI foundation models based on a "Physics World Model" approach aimed at AGI, designed to incorporate the physical laws governing reality. The company positions its models for use by manufacturers.
Also known as SolverX
Investors · 1
Company profile
researched Aug 2026SolverX develops AI-based solvers for computer-aided engineering (CAE), positioning its work as moving "beyond solver to physics intelligence." The company's platform is designed to reuse a manufacturer's accumulated 3D simulation and physical testing data to train multiphysics AI models that can produce simulation results for new designs, materials and boundary conditions in real time. The company states its AI solvers can run 3D simulations up to 1000x faster than conventional approaches while retaining accuracy, and that they integrate with commercial CAE software, open-source solvers and in-house solvers.
The product line is organized around four steps: activating a customer's existing simulation and testing data; AI Solver, which generates 3D simulations for new designs and conditions; AI Optimizer, which explores wider design spaces to search for globally optimal designs; and AI Enhancer, which combines test data and multiple solvers to build a "Physics Twin" AI intended to address problems that traditional CAE handles poorly. Supported physics areas include structural analysis, fluid dynamics, thermal analysis, electromagnetics, multiphysics, NVH, injection molding and metal forming.
SolverX describes its longer-term research direction as a "Physics World Model" for artificial general intelligence, with foundation models intended to bridge machine learning and the physical laws governing reality. The company publishes machine-learning research, with listed papers at venues including ICLR, ICML, CIKM and workshops, on topics such as convolutional state space models, orthogonal decomposition for PDE prediction, decoupled state space models for multiphase/multiphysics systems, and graph neural networks, alongside applied work on redox flow batteries and lithium-ion battery capacity estimation.
Founding story
SolverX was founded by Yun Young Choi, Ph.D., who serves as CEO and previously worked at the National Institute for Mathematical Sciences and Samsung SDS. The company's name refers to a numerical solver combined with "x" for the unknown and future possibilities.
Business model
SolverX sells AI-aided engineering software to manufacturers, offering AI Solver, AI Optimizer and AI Enhancer products that are trained on and integrated with a customer's own simulation, testing and solver environment. Engagement begins through demo requests and direct contact with the company.
Traction
The company cites use by leading manufacturers, including Hyundai WIA, where AI Solver has been applied to the design of new automotive parts for electric vehicles across parametric and non-parametric studies, concept design and optimization; a Hyundai WIA senior engineer is quoted describing validated predictive results across a variety of automotive part geometries.
▸Full profile — market position, technology, go-to-market, history
Market position
SolverX positions its AI solvers as an alternative and complement to traditional CAE tools, stating that it outperforms other AI solutions on accuracy across varied geometries and boundary conditions while remaining interoperable with existing commercial, open-source and in-house solvers.
Differentiation claims center on speed (3D simulations described as 1000x faster), accuracy across diverse geometries and boundary conditions, the ability to fuse physical test data with simulation data to exceed traditional CAE limits, and compatibility with a broad range of existing CAE, open-source and in-house solvers.
Technology
The core technology consists of multiphysics AI models trained on accumulated 3D simulation and test data to act as surrogate solvers, producing 3D simulation results for new geometries, materials and boundary conditions in seconds rather than through conventional numerical solution. The company frames this as "Physics Foundation AI" and a "Physics World Model," and its published research covers state space models, graph neural networks and graph transformers, and non-regressive PDE prediction methods.
Go-to-market
Direct enterprise engagement with large manufacturers, supported by demo requests, industry-specific landing pages (e.g. electronics) and published customer references such as Hyundai WIA.
Industrial manufacturers and engineering organizations in automotive, aerospace, electronics, battery, chemical, shipbuilding, heavy equipment and semiconductor sectors that hold large volumes of simulation and test data.
History
Publicly available company material describes the current leadership under founder and CEO Yun Young Choi, the four-stage AI-aided engineering platform, and research output published between 2022 and 2026 at machine learning and engineering venues.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 1
launches, deals, and filingsHyundai WIA uses SolverX's AI Solver to streamline design of new automotive parts for electric vehicles, spanning parametric and non-parametric studies, concept design and optimization.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 8
primary sources listed
- Solverxsolverx.ai · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Solverx do?
- SolverX builds AI "physics foundation" solvers that generate 3D engineering simulations from manufacturers' existing simulation data.
- Who are Solverx's investors?
- Solverx's investors include Kakao Ventures.
