Making Simulation More Accessible
Vision
Faster
Easier
More Concise
In repetitive simulation work, the problem of time-consuming results acquisition can occur every time some adjustments are made to conditions. We are conducting research and development to obtain results quickly.
We provide optimal configuration interfaces and simulation software to address issues such as "it is difficult to configure CAE software" or "existing software cannot reproduce events in special cases."
There are cases where design data management is not properly organized, and it takes a lot of time to search for the data you want, resulting in a lot of time being wasted on non-added-value work within the business. We provide a platform for properly managing and searching such data.
Technology
01/ Surrogate Model
Machine learning can be used to obtain simulation results quickly.
You can also customize the input conditions as needed.
For repetitive tasks, the waiting time for calculations can be reduced, and it is expected that business lead times will be significantly shortened.
02/ High-Performance Solver Development
We provide customizable solvers according to customer requirements.
In addition, the characteristics of the adopted technology make it easy to integrate with existing code and libraries.
The data can be output in a format that is easy to use for generating training data for surrogate models.
03 / Lightweight PDM
Accurate simulation requires proper management of necessary data. We provide a platform for managing and searching company-wide information across departments.
This data management platform is also useful for utilizing unstructured data such as images.
Company Profile
Company Name
godelblock Inc.
Established
February 10, 2023
Representative Director
Akio Tanaka
Address
30F, Shinjuku Park Tower N Building, 3-7-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo 163-1030
Business Field
Simulation solutions
Consulting
Technical support
Engineering Services
Financial Statements Announcement
Announcement of financial results for the period ending June 2023
Announcement of financial results for the period ending June 2024
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