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DeepFlow, Inc. is a computer software planning and development company based in Tokyo, Japan. It focuses primarily on simulation, model validation, physical model development, analytical method design, and solving CAE problems. Its core technology is the in-house ultra-large-scale numerical analysis system “Elkurage,” which the official website positions as a high-performance solver system capable of transforming design workflows.
From a functional perspective, DeepFlow looks more like a combination of “high-end simulation software capabilities + custom engineering services” than a standard SaaS tool that ordinary developers can sign up for and use immediately. Elkurage supports simulations across fluids, structures, acoustics, convection, diffusion, heat, electromagnetic fields, and more, with an emphasis on highly parallel performance on cloud computing platforms and supercomputers. The official website cites a fluid-structure coupled analysis case using 23,616 cores that achieved a 19,759x speedup, highlighting its orientation toward complex, large-scale models.
For multiphysics scenarios, it can analyze coupled phenomena such as structural deformation caused by fluid pressure, the feedback effect of structural deformation on the flow field, and the propagation of frictional heat through fluids and structures. The website also mentions that simulation data can be combined with real-world data from measurement instruments, which is valuable for R&D validation and engineering diagnostics.
DeepFlow uses OpenFOAM for fluid analysis and also uses its in-house Elkurage system. Its customers include Mitsubishi Heavy Industries Thermal Systems, AIST, JAMSTEC, and multiple Japanese universities, suggesting a stronger focus on research and industrial R&D use cases. In terms of documentation, the official website provides technical notes and YouTube case studies, such as a 23-million-element electromagnetic field calculation, a mixing model, and 3D particle visualization. However, we did not find an API, SDK, installation guide, parameter manual, or developer documentation.
Pricing is not public. Procurement appears to involve contacting the company via a form, discussing requirements, identifying the technical problem, receiving a proposed solution and quotation, and entering a bidding process if necessary. As a result, budget, delivery timeline, and licensing model all need to be confirmed individually.
Its strengths include high-performance parallel computing, broad multiphysics coverage, the ability to combine OpenFOAM with custom development, and validation from research institutions and large enterprise customers. The drawbacks are limited standardized product information: it is not clear whether Elkurage is open source, whether it supports private deployment, whether API/SDK access is available, or what the pricing looks like.
DeepFlow is better suited to teams in aerospace, automotive, energy, manufacturing, and research institutions that need large-scale CAE analysis, complex coupled simulations, or custom solver support. It is less suitable for individual developers looking for ready-to-use developer tools, low-cost self-service platforms, or clearly documented API products.
The official website does not provide information on access from mainland China, payment methods, or local support, so availability can only be considered unknown. Chinese teams may also evaluate alternatives such as OpenFOAM, Ansys Fluent, COMSOL, and STAR-CCM+, and decide whether to contact DeepFlow based on whether they need custom services from a Japan-based team.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on deepflow.co.jp official site.
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