Our Business
Services
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Research Paper Implementation
Implement specified research papers as software.
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Algorithm Implementation
Make modules or APIs of specified algorithms as you request.
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Development of User-Friendly Tools
We provide services to develop user-friendly application tools that can simplify a variety of data processing tasks at low cost.
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Research Software Development
Create software for academic research. We can also speed up existing software or add functionalities to existing software.
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Consigned Research Services
We can execute parts of your research, including surveying papers, developing necessary systems, validation, and preparing reports.
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Information Security Consulting
We provide consulting on cyber resilience (strengthening information security) for research sites.
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Large Language Models / AI Agents
Build and operate AI agent systems that accelerate R&D, and develop practical applications of large language models.
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Optimization Software Development
Develop optimization software to find optimal solutions to problems with various constraints.
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Automated Analysis
Using RPA (Robotic Process Automation), build systems for efficient analysis.
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Neuroscience Software Development
Develop software tailored to the needs of each individual researcher in the field of neuroscience.
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Food Science Software Development
Supports a wide range of food processing stages from experimental design to analysis of results.
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Geophysical Exploration and Nondestructive Testing
Develop software for signal processing of measurement data, simulation, and data assimilation.
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Quantum Beam Research Software Development
Develop specialized software to implement and accelerate the algorithms used in quantum beam research.
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Ecological Research Software Development
Develop specialized software to fully leverage valuable data gathered from field surveys and laboratory experiments.
Business Cases
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Layer discrimination method for tomographic image - R&D
In a 3D tomographic image consisting of multiple layers, we developed a method to discriminate the layer to which each image belongs.
This method is divided into a learning step and an estimation step.
(1)Learning Step 
(2)Estimation Step 
In the learning step, the relationship between image features and layers is learned using support vector regression, a type of machine learning technique, to create a model.
In the estimation step, features are extracted from the image whose layer is to be discriminated and fed to a trained estimation model to estimate the layer to which the image belongs.
The above series of methods were implemented in Python.
- Technologies
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- Image Analysis
- Python
- OpenCV
- Machine Learning
- Support Vector Regression
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2-D region optimal partitioning - software development
We have developed software that numerically finds an approximate solution to the optimization problem of partitioning a finite and connected two-dimensional region in a two-dimensional plane into a specified number of subregions and finding a region partitioning that minimizes the sum of the first eigenvalues (minimum eigenvalues) of the Laplace-Dirichlet eigenvalue problem in each of these subregions.
Since it is difficult to solve such an optimization problem directly, a relaxed formulation was developed by introducing a density function that approximates the characteristic function of the partitioned region and imposing a penalty outside the region in order to compute approximate eigenvalues of the partitioned region. In such a relaxed formulation, it is known that the density function converges to the characteristic function of the region as the penalty approaches infinity.
Therefore, we implemented an algorithm in which each density function is optimized by the gradient descent method so that the sum of eigenvalues becomes small while solving the approximate eigenvalue problem for each partitioned regions with appropriate initial settings. Parallel computation was also used to speed up the process.
We have also implemented an algorithm to optimize the same problem from a thermodynamic point of view. Since the property that a multi-component system of particles in Brownian motion is regionally distributed in such a way as to minimize Renyi entropy production in a stationary state is an equivalent formulation to this optimization problem, we implemented an algorithm to approximate this optimization problem by simulating this thermodynamic system.
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- Laplace-Dirichlet Eigenvalue Problem
- Eigenvalue Optimization
- Region Partitioning
- Parallel Computing
- C++
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Experimental condition optimization program using Bayesian optimization - development
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- Bayesian Optimization
- RPA (Robotic Process Automation)
- Sequential Experimental Design
- Python
Engineers
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OKADA Koutaroh - [Expertise]
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- Signal Filtering
- Clustering Analysis
- Multivariate Analysis
- Frequency Analysis
- Simulations
- Information Analysis for Neurophysiology
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- I have a large experience in signal processing. Especially, it is my forte to extract information buried in noise or other signals using extensive techniques.
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HASHIDA Yasuhiko - [Expertise]
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- Molecular Biology
- Protein Engineering
- Kinetic Analysis
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- I have a wide variety of research experiences in life science fields, such as the kinetic analysis of protein interaction and molecular biology of cells.
Taking advantage of my accumulated experimental knowledge, I would be happy to support your research through development of useful and helpful software which are totally customized for you.
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NAKATA Shota - [Expertise]
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- Microbiology
- Molecular Biology
- Bioinformatics
- [Introduction]
- I have conducted research in the fields of microbiology and molecular biology, such as metabolic modifications of microorganisms by genetic recombination and analysis of microbial ecosystems. I would be happy to apply my extensive experimental expertise to develop software and suggest analytical techniques appropriate to your research.
Products
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SparseTaroSparse Structure Estimation Software
Visualize correlations by high-speed partial correlation analysis with sparse structure estimation. This is useful for connectome analysis in the field of neuroscience.
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StackTaro3D Image Analysis Software
Analyzes image stacks and performs automatic counting and visualization. This is useful for analysis of confocal microscope images, etc.
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SpikeTaroSpike Sorting Software
Separates and clusters spike signals from aggregate potentials of neural signals. Dramatically improves the efficiency of neurophysiology research!
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ABDigitizerVideo Analysis Software for Behavioral Experiments
Automatically extracts location information from video footage of behavioral experiments and easily creates trajectory graphs and heat maps. No more manual work!
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NGS Metagenomics AOIMetagenome Analysis Software
Ultra-fast metagenome analysis compatible with next-generation sequencers. Rich visual functions are powerful for microbiological research and other applications! (Scheduled for release)
News
- 2025/12/01
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Our researcher presented at the Japanese Society of Food Engineering's Food New Technology Study Group.
- 2025/12/01
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We exhibited at the 42nd Annual Meeting of the Japan Society of Plasma and Fusion.
- 2025/12/01
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We have launched a service page for information security consulting.
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