Our Business
Services
-
-
Research Paper Implementation
Implement specified research papers as software.
-
-
Algorithm Implementation
Make modules or APIs of specified algorithms as you request.
-
-
-
Simple Tool Creation
Make simple application of numerical or statistical analysis at a low price.
-
-
-
Research Software Development
Create software for academic research. We can also speed up existing software or add functionalities to existing software.
-
-
-
Consigned Research Services
We can execute parts of your research, including surveying papers, developing necessary systems, validation, and preparing reports.
-
-
-
Large Language Models
Develop large language models for practical applications to meet a wide range of needs, from practical applications to pure research purposes.
-
-
-
Optimization Software Development
Develop optimization software to find optimal solutions to problems with various constraints.
-
-
-
Automated Analysis
Using RPA (Robotic Process Automation), build systems for efficient analysis.
-
-
-
Neuroscience Software Development
Develop software tailored to the needs of each individual researcher in the field of neuroscience.
-
-
-
Food Science Software Development
Supports a wide range of food processing stages from experimental design to analysis of results.
-
-
-
Geophysical Exploration and Nondestructive Testing
Develop software for signal processing of measurement data, simulation, and data assimilation.
-
-
-
Quantum Beam Research Software Development
Develop specialized software to implement and accelerate the algorithms used in quantum beam research.
-
Business Cases
-
Medical data analysis and modeling - research support
- Technologies
-
- Python
- Stan
- TensorFlow Probability
- Probabilistic Programming
- Variational Inference
- MCMC
-
Data assimilation system for seismic waves - development
We have developed a data assimilation system that optimizes the mass density and elastic constants of seismic wave simulation model based on ground-based pseudo-seismic observation data.
Although it is difficult to directly observe the subsurface mass density and elastic constants, they can be estimated by data assimilation using seismic data from the ground.
The data assimilation method used was the four-dimensional variational method (4DVar or adjoint method). This method uses an adjoint model based on a simulation model. This allows us to optimize the parameters over a period of time to satisfy the governing equations of the simulation model.
- Technologies
-
- Data Assimilation
- 4DVar
- Fortran
-
Anomaly detection methods based on image reconstruction using deep Learning - survey and implementation
- Technologies
-
- Automated Visual Inspection
- Anomaly Detection
- Autoencoder
- Variational Autoencoder (VAE)
- Python
- TensorFlow/Keras
Engineers
-
- [Expertise]
-
- Behavioral Ecology
- Simulations
- [Introduction]
- An experienced engineer in experiments and observations of behavioral ecology. Especially, I have been researching the mating behavior of water striders. I want to support your research in each stages with software from experiment planning to data acquisition and analysis. Currently, I am studying image processing, because I am interested in software recognition of animal behavior.
-
- [Expertise]
-
- Statistical Analysis
- Time Series Analysis
- Signal Processing
- Sound Processing
- [Introduction]
- I am studying everyday mathematical theories and system programming skills to produce state-of-the-art practical technologies based on intelligent computing. I wish to establish a company where many researchers produce unique products to their heart's content.
-
- [Expertise]
-
- Simulations
- Image Analysis
- Algorithm Parallelization
- Bioinformatics
- [Introduction]
- I am specialized in developmental biology and numerical simulation. I can easily communicate with experimental biologists who don't have computational background. I am studying technologies not only in biology but also in other fields now.
Products
-
-
Visualize correlations by high-speed partial correlation analysis with sparse structure estimation. This is useful for connectome analysis in the field of neuroscience.
-
-
-
Analyzes image stacks and performs automatic counting and visualization. This is useful for analysis of confocal microscope images, etc.
-
-
-
Separates and clusters spike signals from aggregate potentials of neural signals. Dramatically improves the efficiency of neurophysiology research!
-
-
-
Automatically extracts location information from video footage of behavioral experiments and easily creates trajectory graphs and heat maps. No more manual work!
-
-
-
Ultra-fast metagenome analysis compatible with next-generation sequencers. Rich visual functions are powerful for microbiological research and other applications! (Scheduled for release)
-
News
- 2024/08/19
-
We exhibited at "Industrial Plaza" in the 25th Annual Convention of the Japan Society for Food Engineering (2024), where we conducted a poster presentation and a short presentation.
- 2024/04/08
-
A Ph.D. (Science) researcher was hired.
- 2024/02/21
-
Participated in Kyoto University 18th ICT Innovation Industry Briefing Session.
Contact Us
If you have any inquiry
about our company, please contact us.
(Phone hours: 10:00 - 17:00, Japan Standard Time)
+81-75-321-7300